{"id":19608,"date":"2020-05-12T18:32:35","date_gmt":"2020-05-12T10:32:35","guid":{"rendered":"https:\/\/swarma.org\/?p=19608"},"modified":"2020-05-12T18:32:35","modified_gmt":"2020-05-12T10:32:35","slug":"%e4%ba%ba%e7%b1%bb%e7%a7%bb%e5%8a%a8%e7%bd%91%e7%bb%9c%e4%b8%ad%e7%9a%84%e7%a9%ba%e9%97%b4%e8%b6%85%e7%ba%a7%e4%bc%a0%e6%92%ad%e8%80%85%e5%92%8c%e8%b6%85%e7%ba%a7%e6%95%8f%e6%84%9f%e6%80%a7","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=19608","title":{"rendered":"\u4eba\u7c7b\u79fb\u52a8\u7f51\u7edc\u4e2d\u7684\u7a7a\u95f4\u8d85\u7ea7\u4f20\u64ad\u8005\u548c\u8d85\u7ea7\u654f\u611f\u6027 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901232\u7bc7"},"content":{"rendered":"
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\u672c\u6587\u7531\u673a\u5668\u7ffb\u8bd1\uff0c\u4ec5\u4f9b\u53c2\u8003\uff0c\u611f\u5174\u8da3\u8bf7\u67e5\u9605\u8bba\u6587\u539f\u6587<\/section>\n<\/section>\n<\/blockquote>\n

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  • \n

    \u4eba\u7c7b<\/span>\u79fb\u52a8<\/span>\u7f51\u7edc\u4e2d\u7684\u7a7a\u95f4\u8d85\u7ea7\u4f20\u64ad\u8005\u548c\u8d85\u7ea7\u654f\u611f\u6027;<\/span>
    <\/p>\n<\/li>\n

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    \u901a\u8fc7\u6d41\u884c\u75c5\u91cd\u6574\u5316\u7fa4\u6846\u67b6\u5206\u6790\u793e\u4f1a\u9694\u79bb\u4e0e\u5927\u6d41\u884c\u75c5\u8fb9\u754c\u9650\u5236\uff08COVID-19\uff09\u7684\u76f8\u4e92\u4f5c\u7528;<\/span><\/section>\n<\/li>\n
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    COVID-19\u4f20\u64ad\u7684\u98ce\u9669\u56e0\u7d20;<\/span><\/section>\n<\/li>\n
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    \u628a\u63e1COVID-19\u7684\u8109\u640f\uff1a\u65f6\u7a7a\u89c2\u70b9;<\/span><\/section>\n<\/li>\n
  • \n
    \u4f7f\u7528\u6539\u8fdb\u7684SEIR\u6a21\u578b\u5206\u6790COVID 19\u9501\u5b9a\u671f\u95f4\u5de5\u4eba\u7684\u5dde\u9645\u8fc1\u79fb\u7684\u542b\u4e49;<\/span><\/section>\n<\/li>\n
  • \n
    COVID-19\u5927\u6d41\u884c\u671f\u95f4\u57fa\u7840\u8bbe\u65bd\u4f7f\u7528\u7684\u57ce\u5e02\u5c3a\u5ea6\u6697\u5149\u7ea4DAS\u6d4b\u91cf;<\/span><\/section>\n<\/li>\n
  • \n
    \u4f5b\u7f57\u4f26\u8428\u5730\u533aCOVID-19\u505c\u98de\u5bf9\u673a\u52a8\u6027\u548c\u73af\u5883\u6570\u636e\u7684\u5f71\u54cd;<\/span><\/section>\n<\/li>\n
  • \n
    \u7b2c\u4e00\u4e2a\u6cd5\u56fdCOVID19\u5c01\u57ceTwitter\u6570\u636e\u96c6;<\/span><\/section>\n<\/li>\n
  • \n
    \u53bb\u4e2d\u5fc3\u5316\uff0c\u9690\u79c1\u4fdd\u62a4\u7684\u8d1d\u53f6\u65af\u63a8\u65ad\uff0c\u7528\u4e8e\u624b\u673a\u8054\u7cfb\u4eba\u8ddf\u8e2a;<\/span><\/section>\n<\/li>\n
  • \n
    \u4f7f\u7528\u7edf\u8ba1\u548c\u6570\u5b66\u5efa\u6a21\u6765\u4e86\u89e3\u4f20\u67d3\u75c5\u7684\u7206\u53d1\uff1a\u4ee5COVID-19\u4e3a\u4f8b;<\/span><\/section>\n<\/li>\n
  • \n
    \u5c01\u57ce\uff1aCOVID-19\u65f6\u671f\u7684\u7f51\u7edc\u589e\u5f3a\u7684\u60c5\u7eea\u5206\u6790;<\/span><\/section>\n<\/li>\n
  • \n
    \u7528\u65c5\u884c\u4f20\u67d3\u6765\u6a21\u62df\u4f20\u67d3\u75c5\u5728\u57ce\u5e02\u5730\u533a\u7684\u4f20\u64ad;<\/span><\/section>\n<\/li>\n
  • \n
    ConvoKit\uff1a\u7528\u4e8e\u5206\u6790\u4f1a\u8bdd\u7684\u5de5\u5177\u5305;<\/span><\/section>\n<\/li>\n
  • \n
    HiJoD\uff1a\u4f7f\u7528\u5206\u5c42\u8054\u5408\u5206\u89e3\u5bf9\u9519\u8bef\u4fe1\u606f\u8fdb\u884c\u534a\u76d1\u7763\u591a\u65b9\u9762\u68c0\u6d4b;<\/span><\/section>\n<\/li>\n
  • \n
    \u5927\u578b\u793e\u4f1a\u7f51\u7edc\u7684\u793e\u4ea4\u641c\u7d22\u6a21\u578b;<\/span><\/section>\n<\/li>\n
  • \n
    SocialTrans\uff1aWeb\u89c4\u6a21\u63a8\u8350\u7cfb\u7edf\u7684\u5177\u6709\u793e\u4ea4\u4fe1\u606f\u7684\u6df1\u5ea6\u5e8f\u5217\u6a21\u578b;<\/span><\/section>\n<\/li>\n
  • \n
    \u5728\u7f8e\u56fd\u4e2d\u671f\u9009\u4e3e\u4e2d\u8bc4\u4f30\u9488\u5bf9\u5019\u9009\u4eba\u7684Twitter\u5bf9\u6297\u6027\u4e92\u52a8;<\/span><\/section>\n<\/li>\n
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    \u901a\u8fc7\u591a\u91cd\u4ea4\u4e92\u7f51\u7edc\u9884\u6d4b\u79d1\u5b66\u5408\u4f5c;<\/span><\/section>\n<\/li>\n
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    \u591a\u65b9\u7ade\u9009;<\/span><\/section>\n<\/li>\n
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    \u5229\u7528\u89d2\u5ea6\u5ea6\u91cf\u7684\u5e73\u9762\u70b9\u5d4c\u5165\u53ef\u5b9e\u73b0\u6027;<\/span><\/section>\n<\/li>\n
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    \u591a\u8def\u7f51\u7edc\u4e2d\u7684\u76f8\u5173\u7ed3\u6784\u6f14\u53d8;<\/span><\/section>\n<\/li>\n
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    \u590d\u73b0\u5e02\u573a\uff1a\u4eba\u5de5\u667a\u80fd\u590d\u73b0\u7684\u7ed3\u679c\u3001\u7ecf\u9a8c\u6559\u8bad\u3001\u6311\u6218\u548c\u673a\u9047;<\/span><\/section>\n<\/li>\n
  • \n
    \u8026\u5408\u53ef\u4f38\u7f29\u8d1d\u53f6\u65af\u9c81\u68d2\u5f20\u91cf\u5206\u89e3\u6a21\u578b\u7684\u975e\u7ecf\u5e38\u6027\u4ea4\u901a\u62e5\u5835\u68c0\u6d4b;<\/span><\/section>\n<\/li>\n
  • \n
    \u8282\u70b9\u5d4c\u5165\u7684\u4e00\u81f4\u7f51\u7edc\u5bf9\u9f50;<\/span><\/section>\n<\/li>\n
  • \n
    PageRank\u548cK-Means\u805a\u7c7b\u7b97\u6cd5;<\/span><\/section>\n<\/li>\n
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    \u56fe\u805a\u7c7b\u7b97\u6cd5\u7684\u6bd4\u8f83\u4e0e\u57fa\u51c6;<\/span><\/section>\n<\/li>\n
  • \n
    Keen2Act\uff1a\u5728\u7ebf\u793e\u4ea4\u534f\u4f5c\u5e73\u53f0\u4e2d\u7684\u6d3b\u52a8\u63a8\u8350;<\/span><\/section>\n<\/li>\n
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    \u5e26\u7ebf\u6269\u5c55\u7684\u8d85\u56fe\u5b66\u4e60;<\/span><\/section>\n<\/li>\n
  • \n
    \u5177\u6709\u53cc\u5411\u9608\u503c\u7684\u610f\u89c1\u52a8\u6001\u4e2d\u7684\u5171\u8bc6\u3001\u4e24\u6781\u5316\u548c\u591a\u6837\u6027;<\/span><\/section>\n<\/li>\n
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    \u65f6\u95f4\u77e5\u8bc6\u5e93\u7684\u5b8c\u5584\uff1a\u65b0\u7b97\u6cd5\u548c\u8bc4\u4f30\u534f\u8bae;<\/span><\/section>\n<\/li>\n
  • \n
    \u6269\u6563\u9a71\u52a8\u7684\u4eba\u53e3\u7edf\u8ba1\u5b66\u2014\u2014\u56fe\u7075\u6591\u56fe\u4f5c\u4e3a\u5b9a\u5c45\u6d8c\u73b0\u7684\u6982\u5ff5;<\/span><\/section>\n<\/li>\n
  • \n
    \u80fd\u6e90\u9650\u5236\u5730\u7403\u4e0a\u7684\u56fd\u5185\u751f\u4ea7\u603b\u503c;<\/span><\/section>\n<\/li>\n<\/ul>\n


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    \u4eba\u7c7b\u79fb\u52a8\u7f51\u7edc\u4e2d\u7684<\/strong><\/span><\/p>\n

    \u7a7a\u95f4\u8d85\u7ea7\u4f20\u64ad\u8005\u548c\u8d85\u7ea7\u654f\u611f\u6027<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong> <\/span><\/section>\n
    Spatial super-spreaders and super-susceptibles in human movement networks<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.05063<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong> <\/span><\/section>\n
    Wei Chien Benny Chin, Roland Bouffanais<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u968f\u7740\u5168\u7403\u8303\u56f4\u5185\u89e3\u9664\u7981\u552e\u4ee4\u548c\u7559\u5728\u5bb6\u4e2d\u7684\u8ba2\u5355\uff0c\u5404\u56fd\u653f\u5e9c\u6b63\u52aa\u529b\u5efa\u7acb\u6709\u6548\u4e14\u5b9e\u7528\u7684\u51c6\u5219\u6765\u91cd\u65b0\u5f00\u653e\u7ecf\u6d4e\u3002\u5728\u4eba\u53e3\u7a20\u5bc6\u7684\u57ce\u5e02\u73af\u5883\u4e2d\uff0c\u4eba\u4eec\u91cd\u8fd4\u5de5\u4f5c\u5c97\u4f4d\uff0c\u516c\u5171\u4ea4\u901a\u6062\u590d\u4e86\u6b63\u5e38\u8fd0\u8f6c\uff0c\u5982\u679c\u4e0d\u662f\u5b9e\u9645\u4e0a\u4e0d\u53ef\u80fd\u7684\u8bdd\uff0c\u91c7\u53d6\u4e25\u683c\u7684\u793e\u4f1a\u9694\u79bb\u63aa\u65bd\u5c06\u6781\u5177\u6311\u6218\u6027\u3002\u56e0\u6b64\uff0c\u5404\u56fd\u653f\u5e9c\u6b63\u5728\u5bc6\u5207\u5173\u6ce8\u53ef\u80fd\u6210\u4e3a\u75be\u75c5\u4f20\u64ad\u4e0b\u4e00\u7c07\u7684\u7279\u5b9a\u5730\u70b9\u3002\u786e\u5b9e\uff0c\u67d0\u4e9b\u5730\u65b9\uff0c\u4f8b\u5982\u67d0\u4e9b\u4eba\uff0c\u53ef\u4ee5\u6210\u4e3a\u201c\u8d85\u7ea7\u4f20\u64ad\u8005\u201d\u3002\u4e0e\u5728\u90ca\u533a\u62e5\u6324\u7684\u516c\u4ea4\u4ea4\u6c47\u5904\u76f8\u6bd4\uff0c\u4e2d\u592e\u5546\u52a1\u533a\u7684\u706b\u8f66\u7ad9\u662f\u5426\u6216\u591a\u6216\u5c11\u53d7\u5230\u4e86\u5f71\u54cd\uff1f\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u5b9a\u91cf\u548c\u7cfb\u7edf\u7684\u6846\u67b6\uff0c\u4ee5\u8bc6\u522b\u7a7a\u95f4\u8d85\u7ea7\u4f20\u64ad\u8005\u548c\u8d85\u7ea7\u6613\u611f\u6027\u7684\u65b0\u6982\u5ff5\uff0c\u5373\u5206\u522b\u662f\u6700\u6709\u53ef\u80fd\u4fc3\u8fdb\u75be\u75c5\u4f20\u64ad\u6216\u611f\u67d3\u75be\u75c5\u7684\u5730\u65b9\u3002\u6211\u4eec\u63d0\u51fa\u7684\u6570\u636e\u5206\u6790\u6846\u67b6\u57fa\u4e8e\u65b0\u52a0\u5761\u516c\u5171\u4ea4\u901a\u7684\u6bcf\u65e5\u6c47\u603b\u4e58\u5ba2\u6570\u636e\u3002\u901a\u8fc7\u6784\u9020\u6709\u5411\u7684\u548c\u52a0\u6743\u7684\u4eba\u4f53\u8fd0\u52a8\u7f51\u7edc\uff0c\u5e76\u5c06\u4eba\u4f53\u6d41\u52a8\u5f3a\u5ea6\u4e0e\u4e24\u4e2a\u90bb\u57df\u591a\u6837\u6027\u6307\u6807\u76f8\u7ed3\u5408\uff0c\u6211\u4eec\u53ef\u4ee5\u67e5\u660e\u8d85\u7ea7\u4f20\u64ad\u8005\u548c\u8d85\u7ea7\u6613\u611f\u8005\u7684\u4f4d\u7f6e\u3002\u6211\u4eec\u7684\u7ed3\u679c\u8868\u660e\uff0c\u5927\u591a\u6570\u8d85\u7ea7\u4f20\u64ad\u8005\u4e5f\u662f\u8d85\u7ea7\u654f\u611f\u4eba\u7fa4\uff0c\u5e76\u4e14\u4e0e\u76f4\u89c9\u76f8\u53cd\uff0c\u7e41\u5fd9\u7684\u5916\u56f4\u5df4\u58eb\u6362\u4e58\u7ad9\u70b9\u6bd4\u62e5\u6324\u7684\u4e2d\u592e\u706b\u8f66\u7ad9\u9ad8\u98ce\u9669\u3002\u6211\u4eec\u7684\u5206\u6790\u57fa\u4e8e\u65b0\u52a0\u5761\u7684\u6570\u636e\uff0c\u4f46\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u9002\u7528\u4e8e\u5176\u4ed6\u4e3b\u8981\u57ce\u5e02\u4e2d\u5fc3\u3002\u56e0\u6b64\uff0c\u5b83\u4e3a\u8bbe\u8ba1\u9488\u5bf9\u6027\u7684\uff0c\u5177\u6709\u6210\u672c\u6548\u76ca\u7684\u57ce\u5e02\u89c4\u5212\u548c\u6d41\u884c\u75c5\u5b66\u9884\u9632\u63aa\u65bd\u63d0\u4f9b\u4e86\u6709\u7528\u7684\u6846\u67b6\u3002<\/span><\/section>\n


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    \u901a\u8fc7\u6d41\u884c\u75c5\u91cd\u6574\u5316\u7fa4\u6846\u67b6<\/strong><\/span><\/p>\n

    \u5206\u6790\u793e\u4f1a\u9694\u79bb\u4e0e\u5927\u6d41\u884c\u75c5\u8fb9\u754c<\/strong><\/span><\/p>\n

    \u9650\u5236\uff08COVID-19\uff09\u7684\u76f8\u4e92\u4f5c\u7528<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Interplay of social distancing and border restrictions for pandemics (COVID-19) via the epidemic Renormalisation Group framework<\/span><\/section>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04956<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Giacomo Cacciapaglia, Francesco Sannino<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u8bc1\u660e\u5927\u6d41\u884c\u7684\u91cd\u6574\u5316\u7fa4\u65b9\u6cd5\u63d0\u4f9b\u4e86\u4e00\u79cd\u6709\u6548\u800c\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u8c03\u67e5\u75be\u75c5\u4f20\u64ad\u548c\u5728\u4e16\u754c\u4e0d\u540c\u5730\u533a\u4f20\u64ad\u7684\u52a8\u6001\u3002\u8be5\u6846\u67b6\u8fd8\u53ef\u4ee5\u5bf9\u65c5\u884c\u9650\u5236\u548c\u793e\u4f1a\u758f\u8fdc\u63aa\u65bd\u5bf9\u5168\u7403\u6d41\u884c\u75c5\u4f20\u64ad\u7684\u5f71\u54cd\u505a\u51fa\u53ef\u9760\u7684\u9884\u6d4b\u3002\u6211\u4eec\u5728\u5bf9\u62a5\u544a\u75c5\u4f8b\u8fdb\u884c\u6d4b\u8bd5\u548c\u6821\u51c6\u7684\u540c\u65f6\uff0c\u63ed\u793a\u4e86\u63a7\u5236\u5168\u7403\u4e0d\u540c\u5730\u533a\u65b0\u611f\u67d3\u75c5\u4f8b\u76f8\u5bf9\u9ad8\u5cf0\u5ef6\u8fdf\u7684\u673a\u5236\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5728\u5ef6\u7f13\u6d41\u884c\u9ad8\u5cf0\u671f\u95f4\uff0c\u793e\u4f1a\u758f\u8fdc\u63aa\u65bd\u6bd4\u8de8\u5883\u65c5\u884c\u9650\u5236\u66f4\u4e3a\u6709\u6548\u3002\u6211\u4eec\u8fdb\u4e00\u6b65\u63d0\u4f9b\u4e86\u5230\u9694\u95f4\u6a21\u578b\u7684\u94fe\u63a5\uff0c\u4f8b\u5982\u7b80\u5316\u7684\u548c\u5386\u53f2\u60a0\u4e45\u7684\u7c7b\u4f3c\u4e8eSIR\u7684\u6a21\u578b\u3002\u6211\u4eec\u8fd8\u5c06\u5c55\u793a\u5982\u4f55\u6982\u62ec\u8be5\u6846\u67b6\uff0c\u4ee5\u89e3\u51b3\u4e16\u754c\u4e0a\u591a\u4e2a\u5730\u533a\u4e4b\u95f4\u7684\u4ea4\u4e92\u95ee\u9898\uff0c\u4ee5\u66ff\u4ee3\u6216\u8865\u5145\u5927\u89c4\u6a21\u7684\u6a21\u62df\u3002<\/span><\/section>\n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    COVID-19\u4f20\u64ad\u7684\u98ce\u9669\u56e0\u7d20<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/span><\/section>\n
    COVID-19 transmission risk factors<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.03651<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/span><\/section>\n
    Alessio Notari, Giorgio Torrieri<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u5206\u6790\u4e86\u4e0eCOVID-19\u5927\u6d41\u884c\u7684\u521d\u59cb\u4f20\u64ad\u589e\u957f\u7387\u76f8\u5173\u7684\u98ce\u9669\u56e0\u7d20\u3002\u6848\u4ef6\u6570\u91cf\u8ddf\u968f\u65e9\u671f\u7684\u6307\u6570\u589e\u957f\uff1b\u6211\u4eec\u9009\u62e9\u5728\u6bcf\u4e2a\u56fd\u5bb6\/\u5730\u533a\u4f7f\u752830\u5929\u4e3a\u4f8b\u7684\u7b2c\u4e00\u5929\u4f5c\u4e3a\u5f00\u59cb\u65f6\u95f4\uff0c\u5e76\u4f7f\u7528\u4e8612\u5929\u3002\u6211\u4eec\u4f7f\u7528126\u4e2a\u56fd\u5bb6\/\u5730\u533a\u6765\u5bfb\u627e\u6307\u6570\u4e0e\u5176\u4ed6\u53d8\u91cf\u7684\u7ebf\u6027\u76f8\u5173\u6027\u3002\u6211\u4eec\u53d1\u73b0\u4e0e\u9ad8C.L.\u5448\u6b63\u76f8\u5173\u3002\u5177\u6709\u4ee5\u4e0b\u53d8\u91cf\uff0c\u5206\u522b\u5177\u6709 p \u7684\u503c\uff1a\u4f4e\u6e29\uff08 4  cdot10 ^ -7 \uff09\uff0c\u9ad8\u9f84\u4e0e\u52b3\u52a8\u5e74\u9f84\u4eba\u7fa4\u7684\u6bd4\u7387\uff08 3  cdot10 ^ -6 \uff09\uff0c\u9884\u671f\u5bff\u547d\uff08 8  cdot10 ^ -6 \uff09\uff0c\u56fd\u9645\u6e38\u5ba2\u4eba\u6570\uff08 1  cdot10 ^ -5 \uff09\uff0c\u6d41\u884c\u5f00\u59cb\u65e5\u671f\u8f83\u65e9\uff08 2  cdot10 ^ -5 \uff09\uff0c\u9ad8\u63a5\u89e6\u6c34\u5e73\u95ee\u5019\u4e60\u60ef\uff08 6  cdot 10 ^ -5 \uff09\uff0c\u80ba\u764c\uff08 6  cdot 10 ^ -5 \uff09\uff0c\u7537\u6027\u80a5\u80d6\uff08 1  cdot 10 ^ -4 \uff09\uff0c\u57ce\u5e02\u5316\uff08 2  cdot10 ^ -4 \uff09\uff0c\u764c\u75c7\u60a3\u75c5\u7387\uff08 3  cdot 10 ^ -4 \uff09\uff0c\u996e\u9152\uff08 0.0019 \uff09\uff0c\u6bcf\u65e5\u5438\u70df\u7387\uff08 0.0036 \uff09\uff0c\u7d2b\u5916\u7ebf\u6307\u6570\uff08 0.004 \uff0c\u8f83\u5c0f\u7684\u6837\u672c\uff0c73\u56fd\u5bb6\/\u5730\u533a\uff09\uff0c\u4f4e\u7ef4\u751f\u7d20D\u6c34\u5e73\uff08 p \u503c- 0.002-0.006 \uff0c\u8f83\u5c0f\u6837\u672c\uff0c  sim 50\u4e2a\u56fd\u5bb6\/\u5730\u533a\uff09\u3002\u8840\u578b\u4e5f\u9ad8\u5ea6\u76f8\u5173\uff1a\u4e0eRH-\uff08 2  cdot10 ^ -5 \uff09\u548cA +\uff08 2  cdot10 ^ -3 \uff09\u5448\u6b63\u76f8\u5173\uff0c\u4e0eB +\uff08 2  cdot10 ^ -3 \uff09\u5448\u8d1f\u76f8\u5173\u3002-4 \uff09\u3002\u6211\u4eec\u8fd8\u53d1\u73b0\u4e0e\u4e2d\u5ea6C.L.\u5448\u6b63\u76f8\u5173\u3002\uff08 p -\u503c 0.02  sim0.03 \uff09\uff0c\u5176\u4e2d\u5305\u62ec\uff1aCO  _2 \u7684\u6392\u653e\uff0c1\u578b\u7cd6\u5c3f\u75c5\uff0c\u7ed3\u6838\u75c5\uff08BCG\uff09\u7684\u4f4e\u75ab\u82d7\u63a5\u79cd\u7387\u3002\u51e0\u4e2a\u8fd9\u6837\u7684\u53d8\u91cf\u76f8\u4e92\u5173\u8054\uff0c\u56e0\u6b64\u5b83\u4eec\u53ef\u80fd\u5177\u6709\u5171\u540c\u7684\u89e3\u91ca\u3002\u6211\u4eec\u8fd8\u5206\u6790\u4e86\u8fd9\u79cd\u504f\u5dee\u7684\u53ef\u80fd\u5b58\u5728\uff1a\u4eba\u5747GDP\u8f83\u4f4e\u7684\u56fd\u5bb6\uff08\u901a\u5e38\u4f4d\u4e8e\u6e29\u6696\u5730\u533a\uff09\u7684\u68c0\u9a8c\u5f3a\u5ea6\u53ef\u80fd\u8f83\u4f4e\uff0c\u6211\u4eec\u8ba8\u8bba\u4e0e\u4e0a\u8ff0\u53d8\u91cf\u7684\u76f8\u5173\u6027\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u628a\u63e1COVID-19\u7684\u8109\u640f\uff1a\u65f6\u7a7a\u89c2\u70b9<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/span><\/section>\n
    Taking the pulse of COVID-19: A spatiotemporal perspective<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04224<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/span><\/section>\n
    Chaowei Yang, Dexuan Sha, Qian Liu, Yun Li, Hai Lan, Weihe Wendy Guan, Tao Hu, Zhenlong Li, Zhiran Zhang, John Hoot Thompson, Zifu Wang, David Wong, Shiyang Ruan, Manzhu Yu, Douglas Richardson, Luyao Zhang, Ruizhi Hou, You Zhou, Cheng Zhong, Yifei Tian, Fayez Beaini, Kyla Carte, Colin Flynn, Wei Liu, Dieter Pfoser, Shuming Bao, Mei Li, Haoyuan Zhang, Chunbo Liu, Jie Jiang, Shihong Du, Liang Zhao, Mingyue Lu, Lin Li, Huan Zhou<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u51a0\u72b6\u75c5\u6bd2\u75c5\uff08COVID-19\uff09\u7684\u7a81\u7136\u7206\u53d1\u4e8e2020\u5e74\u521d\u5e2d\u5377\u5168\u7403\uff0c\u5f15\u53d1\u4e86\u8bb8\u591a\u56fd\u5bb6\uff08\u5305\u62ec\u4e2d\u56fd\uff0c\u897f\u73ed\u7259\uff0c\u5370\u5ea6\uff0c\u82f1\u56fd\uff0c\u610f\u5927\u5229\uff0c\u6cd5\u56fd\uff0c\u5fb7\u56fd\u548c\u5927\u591a\u6570\u5dde\uff09\u7684\u6570\u5341\u4ebf\u4eba\u7684\u5c01\u9501\u5728\u7f8e\u56fd\uff0c\u4ee5\u786e\u8bca\u7684\u75c5\u4f8b\u6700\u591a\u7684\u75c5\u6bd2\u4f20\u64ad\u901f\u5ea6\u8fc5\u901f\u52a0\u5feb\uff0c\u52303\u6708\u5e95\uff0c\u7ebd\u7ea6\u5e02\u6210\u4e3a\u5927\u6d41\u884c\u7684\u4e2d\u5fc3\u3002\u4e3a\u4e86\u5e94\u5bf9\u8fd9\u79cd\u56fd\u5bb6\u548c\u5168\u7403\u7d27\u6025\u60c5\u51b5\uff0cNSF\u65f6\u7a7a\u521b\u65b0\u4e2d\u5fc3\u53ec\u96c6\u4e86\u4e00\u652f\u7531\u56fd\u9645\u7814\u7a76\u4eba\u5458\u7ec4\u6210\u7684\u5de5\u4f5c\u7ec4\uff0c\u5e76\u5236\u5b9a\u4e86\u5df2\u5b9e\u65bd\u7684\u6218\u7565\uff0c\u4ee5\u5feb\u901f\u5e94\u5bf9\u8fd9\u4e00\u5371\u673a\uff0c\u4ee5\u652f\u6301\u7814\u7a76\uff0c\u633d\u6551\u751f\u547d\u5e76\u4fdd\u62a4\u5168\u7403\u516c\u6c11\u7684\u5065\u5eb7\u3002\u672c\u89c2\u70b9\u6587\u4ef6\u4ecb\u7ecd\u4e86\u6211\u4eec\u5bf9\u5168\u7403\u536b\u751f\u7a81\u53d1\u4e8b\u4ef6\u7684\u96c6\u4f53\u770b\u6cd5\uff0c\u4ee5\u53ca\u6211\u4eec\u5728\u6536\u96c6\uff0c\u5206\u6790\u548c\u5171\u4eab\u6709\u5173\u5168\u7403\u653f\u7b56\u548c\u653f\u5e9c\u5bf9\u7b56\uff0c\u66b4\u53d1\u7684\u5730\u7406\u7a7a\u95f4\u6307\u6807\u4ee5\u53ca\u4e0d\u65ad\u53d8\u5316\u7684\u9884\u6d4b\u65b9\u9762\u7684\u52aa\u529b\uff1b\u4e0e\u5168\u7403\u79d1\u5b66\u5bb6\u4e00\u8d77\u5f00\u53d1\u7814\u7a76\u80fd\u529b\u548c\u7f13\u89e3\u63aa\u65bd\uff0c\u4fc3\u8fdb\u5173\u4e8e\u66b4\u53d1\u52a8\u6001\u7684\u5408\u4f5c\u7814\u7a76\uff0c\u5e76\u53cd\u601d\u4eba\u7c7b\u793e\u4f1a\u7684\u52a8\u6001\u53cd\u5e94\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
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    <\/p>\n

    \n
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    <\/p>\n

    \u4f7f\u7528\u6539\u8fdb\u7684SEIR\u6a21\u578b<\/strong><\/span><\/p>\n

    \u5206\u6790COVID-19\u9501\u5b9a<\/strong><\/span><\/p>\n

    \u671f\u95f4\u5de5\u4eba\u7684\u5dde\u9645\u8fc1\u79fb\u7684\u542b\u4e49<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/span><\/section>\n
    Implication of Inter-State Movement of Migrant Workers during COVID 19 Lockdown using Modified SEIR Model<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04424<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/span><\/section>\n
    Avijit Maji, M.B. Sushma, Tushar Choudhari<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u4f7f\u7528\u6539\u8fdb\u7684SEIR\u6a21\u578b\u6765\u8bc4\u4f30\u5370\u5ea6\u9501\u5b9a\u671f\u95f4\u5dde\u9645\u79fb\u6c11\u5de5\u4eba\u8fd0\u8f93\u7684\u5f71\u54cd\u3002\u8be5\u6a21\u578b\u8003\u8651\u4e86\u65c5\u884c\u671f\u95f4COVID-19\u4f20\u64ad\u7684\u4e0d\u540c\u6c34\u5e73\uff0c\u6bcf\u65e5\u5230\u8fbe\u7387\u548c\u79fb\u6c11\u5de5\u4eba\u603b\u6570\u3002\u8003\u8651\u5230\u6709\u5927\u91cf\u79fb\u6c11\u5de5\u4eba\u7684\u5370\u5ea6\u5404\u5dde\u4f30\u8ba1\u5df2\u786e\u8bca\u548c\u5728\u804c\u7684COVID-19\u75c5\u4f8b\u7684\u4e0a\u5347\u3002\u636e\u89c2\u5bdf\uff0c\u51cf\u5c11\u79fb\u6c11\u5de5\u4eba\u7684\u6bcf\u65e5\u5230\u8fbe\u7387\u53ef\u4ee5\u5e2e\u52a9\u5317\u65b9\u90a6\u548c\u6bd4\u54c8\u5c14\u90a6\u51cf\u5c11\u786e\u8bca\u548c\u5728\u804c\u75c5\u4f8b\u7684\u4e0a\u5347\u3002\u52302020\u5e745\u6708\u5e95\uff0c\u519c\u6c11\u5de5\u7684\u6bcf\u65e5\u5230\u6765\u7387\u5c06\u5bf9\u62c9\u8d3e\u65af\u5766\u90a6\u4ea7\u751f\u7c7b\u4f3c\u7684\u5f71\u54cd\u3002\u5c31\u6240\u8003\u8651\u7684\u5916\u6765\u52a1\u5de5\u4eba\u5458\u7684\u6bcf\u65e5\u5230\u8fbe\u7387\u800c\u8a00\uff0c\u4e2d\u592e\u90a6\u5728\u786e\u8bca\u548c\u5728\u804c\u75c5\u4f8b\u4e2d\u53ef\u80fd\u4f1a\u6709\u66f4\u9ad8\u7684\u4e0a\u5347\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u9a6c\u54c8\u62c9\u65bd\u7279\u62c9\u90a6\u5728\u786e\u8bca\u548c\u6d3b\u52a8\u7684\u75c5\u4f8b\u4e2d\u53ef\u80fd\u4f1a\u7565\u6709\u4e0a\u5347\u3002\u4e25\u683c\u7684\u653f\u7b56\u4f1a\u5728\u51fa\u5dee\u4e4b\u524d\u5bf9\u79fb\u6c11\u5de5\u4eba\u8fdb\u884c\u7b5b\u67e5\uff0c\u4ee5\u53d1\u73b0\u53ef\u80fd\u7684\u75d5\u91cfCOVID-19\u75c5\u6bd2\uff0c\u5e76\u5728\u8fbe\u5230\u76ee\u7684\u5730\u72b6\u6001\u540e\u91c7\u53d6\u66f4\u4e25\u683c\u7684\u9694\u79bb\u89c4\u8303\uff0c\u8fd9\u6709\u52a9\u4e8e\u51cf\u5c11\u5f52\u56e0\u4e8e\u79fb\u6c11\u5de5\u4eba\u8fd0\u8f93\u7684\u786e\u8bca\u75c5\u4f8b\u548c\u73b0\u5f79\u75c5\u4f8b\u7684\u589e\u52a0\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    COVID-19\u5927\u6d41\u884c\u671f\u95f4\u57fa\u7840\u8bbe\u65bd<\/strong><\/span><\/p>\n

    \u4f7f\u7528\u7684\u57ce\u5e02\u5c3a\u5ea6\u6697\u5149\u7ea4DAS\u6d4b\u91cf<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/span><\/section>\n
    City-scale dark fiber DAS measurements of infrastructure use during the COVID-19 pandemic<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04861<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/span><\/section>\n
    Nathaniel J. Lindsey, Siyuan Yuan, Ariel Lellouch, Lucia Gualtieri, Thomas Lecocq, Biondo Biondi<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u6700\u8fd1\u7684COVID-19\u5927\u6d41\u884c\u4e2d\uff0c\u4e16\u754c\u5404\u5730\u7684\u653f\u5e9c\u5b98\u5458\u547d\u4ee4\u516c\u6c11\u9694\u79bb\u5176\u623f\u5c4b\u5185\uff0c\u6709\u5173\u9053\u8def\uff0c\u533b\u9662\uff0c\u6742\u8d27\u5e97\u548c\u5176\u4ed6\u516c\u5171\u57fa\u7840\u8bbe\u65bd\u4f7f\u7528\u60c5\u51b5\u7684\u5b9e\u65f6\u6d4b\u91cf\u5bf9\u4e8e\u51c6\u786e\u9884\u6d4b\u75c5\u6bd2\u611f\u67d3\u7387\u5e76\u63d0\u4f9b\u4fe1\u606f\u81f3\u5173\u91cd\u8981\u672a\u6765\u7684\u653f\u5e9c\u51b3\u5b9a\u3002\u5c3d\u7ba1\u79fb\u52a8\u7535\u8bdd\u7684\u4f4d\u7f6e\u63d0\u4f9b\u4e86\u4e00\u4e9b\u6709\u5173\u793e\u533a\u6d3b\u52a8\u7684\u4fe1\u606f\uff0c\u4f46\u6574\u4e2a\u57ce\u5e02\u5bf9\u5730\u9762\u8fd0\u52a8\u7684\u5bc6\u96c6\u5206\u5e03\u5f0f\u5730\u7403\u7269\u7406\u4f20\u611f\u66f4\u4e3a\u5b8c\u6574\uff0c\u5e76\u4e14\u672c\u6765\u5c31\u662f\u533f\u540d\u7684\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u6f14\u793a\u4e86\u5982\u4f55\u5728\u52a0\u5dde\u5e15\u6d1b\u963f\u5c14\u6258\u4e0b\u65b9\u7684\u7535\u4fe1\u7535\u7f06\u4e0a\u8fde\u63a5\u5149\u7ea4\u5206\u5e03\u5f0f\u58f0\u5b66\u4f20\u611f\uff08DAS\uff09\u6765\u6355\u83b7\u5728COVID-19\u5927\u6d41\u884c\u7206\u53d1\u548c\u968f\u540e\u7684\u9694\u79bb\u671f\u95f4\u8f66\u8f86\u4ea7\u751f\u7684\u5730\u9707\u548c\u5927\u5730\u4fe1\u53f7\u3002\u6211\u4eec\u5229\u7528\u81ea\u52a8\u6a21\u677f\u5339\u914d\u68c0\u6d4b\u7b97\u6cd5\u4e2d\u7531\u672c\u5730\u6c7d\u8f66\u548c\u5361\u8f66\u5f15\u8d77\u7684\u8def\u57fa\u53d8\u5f62\u7684DAS\u5e94\u53d8\u6d4b\u91cf\uff0c\u6765\u8ba1\u7b97\u65e7\u91d1\u5c71\u6e7e\u533a\u5c31\u5730\u907f\u96be\u5730\u70b9\u5468\u56f4\u4e24\u4e2a\u6708\u671f\u95f4\u6bcf\u5929\u884c\u8fdb\u7684\u8f66\u8f86\u6570\u91cf\u8ba2\u8d2d\u3002\u901a\u8fc7\u5728\u6c99\u4e18\u8def\u4e00\u5bb6\u5927\u578b\u6742\u8d27\u5e97\u9644\u8fd1\u4f7f\u7528\u5149\u7ea4\u7684\u4e00\u90e8\u5206\uff0c\u6211\u4eec\u53d1\u73b0\u8ba2\u8d2d\u540e\u8f66\u8f86\u6570\u91cf\u7acb\u5373\u51cf\u5c11\u4e8650\uff05\uff0c\u4f46\u65af\u5766\u798f\u533b\u9662\u9644\u8fd1\u7684\u6570\u636e\u663e\u793a\uff0c\u7531\u4e8e\u533b\u9662\u6d3b\u52a8\u7684\u6301\u7eed\u8fdb\u884c\uff0c\u7ec6\u5fae\u7684\u53d8\u5316\u8981\u5927\u5f97\u591a\u3002\u6211\u4eec\u5c06DAS\u6d4b\u91cf\u5f97\u51fa\u7684\u4fe1\u606f\u4e0e\u5176\u4ed6\u9694\u79bb\u54cd\u5e94\u6307\u6807\u8fdb\u884c\u4e86\u6bd4\u8f83\uff0c\u53d1\u73b0\u4e0eGoogle\u548cApple\u4f7f\u7528\u624b\u673a\u6570\u636e\u62a5\u544a\u7684\u76f8\u5bf9\u53d8\u5316\u4e4b\u95f4\u5b58\u5728\u5f88\u5f3a\u7684\u76f8\u5173\u6027\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    <\/p>\n


    <\/p>\n

    \n
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    <\/p>\n

    \u4f5b\u7f57\u4f26\u8428\u5730\u533aCOVID-19<\/strong><\/span><\/p>\n

    \u505c\u98de\u5bf9\u673a\u52a8\u6027\u548c\u73af\u5883\u6570\u636e\u7684\u5f71\u54cd<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/span><\/section>\n
    Impact on Mobility and Environmental data of COVID-19 Lockdown on Florence Area<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.05044<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/span><\/section>\n
    C. Badii, P. Bellini, S. Bilotta, D. Bologna, D. Cenni, A. Difino, A. Ipsaro Palesi, N. Mitolo, P. Nesi, G. Pantaleo, I. Paoli, M. Paolucci, M. Soderi<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6839\u636e\u7531\u4e8e\u9501\u5b9a\u548c\u8fde\u7eed\u91cd\u65b0\u6253\u5f00\u800c\u5bfc\u81f4\u7684\u64cd\u4f5c\u6761\u4ef6\u53d8\u5316\uff0c\u53ef\u4ee5\u5206\u6790\u8bb8\u591a\u4e8b\u5b9e\u3002\u5df2\u53d1\u73b0\u4ee5\u4e0b\u4e3b\u8981\u5f71\u54cd\uff1a\u6d41\u52a8\u6027\uff0c\u73af\u5883\uff0c\u793e\u4ea4\u5a92\u4f53\u548c\u4eba\u6d41\u3002\u5728\u6b64\u7b2c\u4e00\u4efd\u62a5\u544a\u4e2d\uff0c\u53ea\u62a5\u544a\u4e86\u6d41\u52a8\u6027\uff0c\u8fd0\u8f93\u548c\u73af\u5883\u3002\u8fdb\u884c\u7684\u5206\u6790\u786e\u5b9a\u4e86\u6d41\u52a8\u6027\u548c\u8fd0\u8f93\u6d3b\u52a8\u4ee5\u53ca\u6c61\u67d3\u7269\u7684\u5927\u91cf\u51cf\u5c11\u3002\u884c\u52a8\u4e0d\u4fbf\u7684\u51cf\u5c11\u7a0b\u5ea6\u5df2\u88ab\u8bc4\u4f30\u4e3a\u4e0eGoogle\u5168\u7403\u884c\u52a8\u62a5\u544a\u6240\u63cf\u8ff0\u7684\u4e00\u81f4\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u672c\u6587\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u5176\u4ed6\u65b9\u9762\u7684\u8bc1\u636e\uff0c\u63d0\u4f9b\u4e86\u6709\u5173\u6d41\u52a8\u6027\u548c\u505c\u8f66\u4f4d\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u4f7f\u6211\u4eec\u53ef\u4ee5\u66f4\u597d\u5730\u5206\u6790\u91cd\u65b0\u5f00\u653e\u5bf9\u6700\u7ec8\u6539\u9020\u611f\u67d3\u7684\u5f71\u54cd\u3002\u4e3a\u6b64\uff0c\u5df2\u7ecf\u4ecegoogle\u4e2d\u6bd4\u8f83\u4e86\u4ece\u5b9e\u5730\u6536\u96c6\u7684\u6570\u636e\uff0c\u5e76\u5f97\u51fa\u4e86\u5173\u4e8e\u5e1d\u56fd\u5927\u5b66\u62a5\u544a20\u7684\u4e00\u4e9b\u6ce8\u610f\u4e8b\u9879\u3002\u5bf9\u4e8e\u6c61\u67d3\u7269\u65b9\u9762\uff0c\u5df2\u6d4b\u91cf\u51fa\u5176\u4e2d\u5927\u90e8\u5206\u6c61\u67d3\u7269\u7684\u76f8\u5173\u51cf\u5c11\u91cf\uff0c\u5e76\u62a5\u544a\u4e86\u7406\u7531\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    \u7b2c\u4e00\u4e2a\u6cd5\u56fdCOVID19<\/strong><\/span><\/p>\n

    \u5c01\u57ceTwitter\u6570\u636e\u96c6<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/span><\/section>\n
    The First French COVID19 Confinement Twitter Dataset<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.05075<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong> <\/span><\/section>\n
    Sophie Balech, Christophe Benavent, Mihai Calciu<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u4e3b\u8981\u7684\u6cd5\u56fd\u51a0\u72b6\u75c5\u6bd2Twitter\u6570\u636e\u96c6\uff0c\u81ea\u4ece\u6cd5\u56fd\u5b9e\u65bd\u9650\u5236\u9650\u5236\uff082020\u5e743\u670817\u65e5\uff09\u4ee5\u6765\uff0c\u6211\u4eec\u4e00\u76f4\u5728\u4e0d\u65ad\u6536\u96c6\u8be5\u6570\u636e\u96c6\u3002\u6211\u4eec\u901a\u8fc7https:\/\/github.com\/calciu\/C0VID19-ContainmentFr\u5411\u7814\u7a76\u793e\u533a\u63d0\u4f9b\u4e86\u4f7f\u7528\u6211\u4eec\u5927\u5b66\u6570\u636e\u4e2d\u5fc3\u7684\u9ad8\u6027\u80fd\u8ba1\u7b97\uff08HPC\uff09\u529f\u80fd\u83b7\u5f97\u7684\u6570\u636e\u96c6\u548c\u60c5\u611f\u5206\u6790\u6ce8\u91ca\u3002\u6211\u4eec\u8ba4\u4e3a\uff0c\u5f53\u9762\u4e34\u7531\u8fd9\u4e00\u5168\u7403\u6027\u75be\u75c5\u7684\u7206\u53d1\u6240\u51b3\u5b9a\u7684\u4e25\u5389\u7684\u5bb6\u5ead\u7981\u95ed\u9650\u5236\u65f6\uff0c\u6211\u4eec\u7684\u8d21\u732e\u53ef\u4ee5\u6709\u52a9\u4e8e\u5206\u6790\u53cd\u6620\u4eba\u4eec\u60c5\u7eea\u7684\u5728\u7ebf\u5bf9\u8bdd\u52a8\u6001\u3002\u6211\u4eec\u5e0c\u671b\u6211\u4eec\u7684\u8d21\u732e\u5c06\u6709\u52a9\u4e8e\u89e3\u7801\u5171\u4eab\u7684\u7ecf\u9a8c\u548c\u5fc3\u60c5\uff0c\u8fd8\u53ef\u4ee5\u6d4b\u8bd5\u60c5\u7eea\u6d4b\u91cf\u5de5\u5177\u7684\u654f\u611f\u6027\uff0c\u5e76\u9f13\u52b1\u5f00\u53d1\u65b0\u7684\u5de5\u5177\uff0c\u65b9\u6cd5\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    \n
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    <\/p>\n

    \u53bb\u4e2d\u5fc3\u5316\uff0c\u9690\u79c1\u4fdd\u62a4\u7684\u8d1d\u53f6\u65af<\/strong><\/span><\/p>\n

    \u63a8\u65ad\uff0c\u7528\u4e8e\u624b\u673a\u8054\u7cfb\u4eba\u8ddf\u8e2a<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/span><\/section>\n
    Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.05086<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/span><\/section>\n
    Daniel Tang<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u76ee\u524d\uff0c\u8bb8\u591a\u56fd\u5bb6\u6b63\u5728\u52a0\u7d27\u4f7f\u7528\u667a\u80fd\u624b\u673a\u5e94\u7528\u7a0b\u5e8f\u8fdb\u884c\u8054\u7cfb\u4eba\u8ddf\u8e2a\uff0c\u8fd9\u662f\u7ba1\u7406COVID-19\u5927\u6d41\u884c\u5e76\u9632\u6b62\u75be\u75c5\u5728\u521d\u6b21\u7206\u53d1\u540e\u518d\u6b21\u51fa\u73b0\u7684\u52aa\u529b\u7684\u4e00\u90e8\u5206\u3002\u968f\u7740Apple \/ Google\u5408\u4f5c\u4f19\u4f34\u5173\u7cfb\u7684\u5ba3\u5e03\uff0c\u5373\u5c06iOS\u548cAndroid\u4e2d\u7684\u8054\u7cfb\u4eba\u8ddf\u8e2a\u529f\u80fd\u5f15\u5165\uff0c\u5b83\u5f88\u53ef\u80fd\u4f1a\u5728\u8bb8\u591a\u56fd\u5bb6\/\u5730\u533a\u91c7\u7528\u3002\u8be5\u5e94\u7528\u7a0b\u5e8f\u529f\u80fd\u7684\u91cd\u8981\u90e8\u5206\u662f\u51b3\u5b9a\u662f\u5426\u5e94\u5efa\u8bae\u4e00\u4e2a\u4eba\u8fdb\u884c\u81ea\u6211\u9694\u79bb\uff0c\u6d4b\u8bd5\u6216\u7ed3\u675f\u9694\u79bb\u3002\u4f46\u662f\uff0cApple \/ Google\u8054\u7cfb\u4eba\u8ddf\u8e2a\u7b97\u6cd5\u7684\u9690\u79c1\u4fdd\u62a4\u6027\u8d28\u610f\u5473\u7740\u65e0\u6cd5\u96c6\u4e2d\u7ba1\u7406\u8fd9\u4e9b\u51b3\u7b56\uff0c\u56e0\u6b64\u6bcf\u90e8\u624b\u673a\u5fc5\u987b\u4f7f\u7528\u81ea\u5df1\u7684\u201c\u98ce\u9669\u6a21\u578b\u201d\u6765\u544a\u77e5\u51b3\u7b56\u3002\u7406\u60f3\u60c5\u51b5\u4e0b\uff0c\u7ed9\u5b9a\u7528\u6237\u548c\u5176\u4ed6\u7528\u6237\u7684\u6d4b\u8bd5\u7ed3\u679c\uff0c\u98ce\u9669\u6a21\u578b\u5e94\u4f7f\u7528\u8d1d\u53f6\u65af\u63a8\u7406\u6765\u786e\u5b9a\u6700\u4f73\u64cd\u4f5c\u65b9\u6848\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u63d0\u51fa\u4e00\u79cd\u53bb\u4e2d\u5fc3\u5316\u7b97\u6cd5\uff0c\u8be5\u7b97\u6cd5\u53ef\u4f30\u8ba1\u75c5\u6bd2\u4f20\u64ad\u4e8b\u4ef6\u7684\u8d1d\u53f6\u65af\u540e\u9a8c\u6982\u7387\uff0c\u5e76\u8bc4\u4f30\u4f55\u65f6\u5e94\u901a\u77e5\u7528\u6237\uff0c\u6d4b\u8bd5\u7528\u6237\u6216\u4ece\u9694\u79bb\u4e2d\u91ca\u653e\u7528\u6237\uff0c\u540c\u65f6\u4fdd\u7559\u7528\u6237\u9690\u79c1\u3002\u8be5\u7b97\u6cd5\u8fd8\u5141\u8bb8\u7535\u8bdd\u4e0a\u7684\u75be\u75c5\u6a21\u578b\u4ece\u6bcf\u4e2a\u4eba\u7684\u63a5\u89e6\u8ddf\u8e2a\u6570\u636e\u4e2d\u5b66\u4e60\uff0c\u5e76\u4f7f\u6d41\u884c\u75c5\u5b66\u5bb6\u53ef\u4ee5\u66f4\u597d\u5730\u4e86\u89e3\u75be\u75c5\u7684\u52a8\u6001\u3002\u8be5\u7b97\u6cd5\u662f\u57fa\u4e8e\u4fe1\u5ff5\u4f20\u64ad\u7684\u6d88\u606f\u4f20\u9012\u7b97\u6cd5\uff0c\u56e0\u6b64\u6bcf\u4e2a\u667a\u80fd\u624b\u673a\u90fd\u53ef\u4ee5\u7528\u4e8e\u6267\u884c\u7b97\u6cd5\u7684\u4e00\u5c0f\u90e8\u5206\uff0c\u800c\u4e0d\u4f1a\u91ca\u653e\u4efb\u4f55\u654f\u611f\u4fe1\u606f\u3002\u4ee5\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6240\u6709\u53c2\u4e0e\u7684\u667a\u80fd\u7535\u8bdd\u7684\u7f51\u7edc\u5f62\u6210\u6267\u884c\u8d1d\u53f6\u65af\u63a8\u7406\u7684\u5206\u5e03\u5f0f\u8ba1\u7b97\u8bbe\u5907\uff0c\u901a\u77e5\u6bcf\u4e2a\u7528\u6237\u4f55\u65f6\u5e94\u8be5\u5f00\u59cb\/\u7ed3\u675f\u9694\u79bb\u6216\u8fdb\u884c\u6d4b\u8bd5\uff0c\u5e76\u4ece\u7528\u6237\u6570\u636e\u4e2d\u4e86\u89e3\u75be\u75c5\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    <\/p>\n

    \n
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    \u4f7f\u7528\u7edf\u8ba1\u548c\u6570\u5b66\u5efa\u6a21\u6765\u4e86\u89e3<\/strong><\/span><\/p>\n

    \u4f20\u67d3\u75c5\u7684\u7206\u53d1\uff1a\u4ee5COVID-19\u4e3a\u4f8b<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span><\/section>\n

    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/span><\/section>\n
    Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04937<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Christopher E. Overton, Helena B. Stage, Shazaad Ahmad, Jacob Curran-Sebastian, Paul Dark, Rajenki Das, Elizabeth Fearon, Timothy Felton, Martyn Fyles, Nick Gent, Ian Hall, Thomas House, Hugo Lewkowicz, Xiaoxi Pang, Lorenzo Pellis, Robert Sawko, Andrew Ustianowski, Bindu Vekaria, Luke Webb<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u4f20\u67d3\u75c5\u66b4\u53d1\u671f\u95f4\uff0c\u6570\u636e\u7684\u504f\u5dee\u548c\u57fa\u672c\u52a8\u6001\u7684\u590d\u6742\u6027\u5728\u6570\u5b66\u4e0a\u6a21\u62df\u66b4\u53d1\u548c\u8bbe\u8ba1\u7b56\u7565\u65f6\u63d0\u51fa\u4e86\u91cd\u5927\u6311\u6218\u3002\u53d7\u5bf9COVID-19\u7684\u6301\u7eed\u54cd\u5e94\u7684\u6fc0\u52b1\uff0c\u6211\u4eec\u63d0\u4f9b\u4e86\u7edf\u8ba1\u548c\u6570\u5b66\u6a21\u578b\u5de5\u5177\u5305\uff0c\u5176\u8303\u56f4\u8d85\u51fa\u4e86\u7b80\u5355\u7684SIR\u578b\u5fae\u5206\u65b9\u7a0b\u6a21\u578b\uff0c\u53ef\u7528\u4e8e\u5206\u6790\u66b4\u53d1\u7684\u65e9\u671f\u9636\u6bb5\u548c\u8bc4\u4f30\u5e72\u9884\u63aa\u65bd\u3002\u7279\u522b\u662f\uff0c\u6211\u4eec\u4e13\u6ce8\u4e8e\u5728\u6570\u636e\u4e2d\u5b58\u5728\u5df2\u77e5\u504f\u5dee\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u53c2\u6570\u4f30\u8ba1\uff0c\u4ee5\u53ca\u975e\u836f\u7269\u5e72\u9884\u63aa\u65bd\u5bf9\u5c01\u95ed\u7684\u4e9a\u4eba\u7fa4\uff08\u5982\u5bb6\u5ead\u548c\u62a4\u7406\u9662\uff09\u7684\u5f71\u54cd\u3002\u6211\u4eec\u901a\u8fc7\u5c06\u5176\u5e94\u7528\u4e8eCOVID-19\u5927\u6d41\u884c\u6765\u8bf4\u660e\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5c01\u57ce\uff1aCOVID-19\u65f6\u671f<\/strong><\/span><\/p>\n

    \u7684\u7f51\u7edc\u589e\u5f3a\u7684\u60c5\u7eea\u5206\u6790<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    lockdown: network-enhanced emotional profiling at the times of COVID-19<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04404<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Massimo Stella, Valerio Restocchi, Simon De Deyne<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>COVID-19\u5927\u6d41\u884c\u8feb\u4f7f\u4e16\u754c\u5404\u5730\u7684\u56fd\u5bb6\u91c7\u53d6\u524d\u6240\u672a\u6709\u7684\u63aa\u65bd\uff0c\u4f8b\u5982\u5728\u5168\u56fd\u8303\u56f4\u5185\u5b9e\u884c\u5c01\u9501\u3002\u4e3a\u4e86\u5145\u5206\u7406\u89e3\u60c5\u611f\u548c\u793e\u4f1a\u5f71\u54cd\uff0c\u6709\u5fc5\u8981\u5bf9\u4eba\u4eec\u5982\u4f55\u770b\u5f85\u8fd9\u4e9b\u610f\u5916\u4e8b\u4ef6\u8fdb\u884c\u5927\u89c4\u6a21\u7684\u91cd\u5efa\uff0c\u4f46\u76ee\u524d\u5c1a\u4e0d\u5b58\u5728\u3002\u6211\u4eec\u901a\u8fc7\u5f15\u5165MERCURIAL\uff08\u60c5\u611f\u5206\u6790\u7684\u591a\u5c42\u5171\u73b0\u7f51\u7edc\uff09\u6765\u901a\u8fc7\u793e\u4ea4\u5a92\u4f53\u89e3\u51b3\u8fd9\u4e00\u5dee\u8ddd\uff0cMERCURIAL\u662f\u5229\u7528\u5355\u8bcd\u548c\u6807\u7b7e\u7684\u8bed\u8a00\u7f51\u7edc\u91cd\u6784\u63cf\u8ff0\u73b0\u5b9e\u4e16\u754c\u4e8b\u4ef6\u7684\u793e\u4f1a\u8bdd\u8bed\u7684\u6846\u67b6\u3002\u6211\u4eec\u4f7f\u7528MERCURIAL\u5206\u6790\u4e86\u6765\u81ea\u610f\u5927\u5229\u7684101,767\u6761\u63a8\u6587\uff0c\u8fd9\u662f\u7b2c\u4e00\u4e2a\u5728\u5168\u56fd\u8303\u56f4\u5185\u5bf9COVID-19\u5a01\u80c1\u505a\u51fa\u53cd\u5e94\u7684\u56fd\u5bb6\u3002\u5728\u610f\u5927\u5229\u5c01\u9501\u5ba3\u5e03\u548c\u4e16\u754c\u536b\u751f\u7ec4\u7ec7\u5ba3\u5e03COVID-19\u5927\u6d41\u884c\u4e4b\u540e\uff0c3\u670811\u65e5\u81f317\u65e5\u6536\u96c6\u4e86\u8fd9\u4e9b\u6570\u636e\u3002\u6211\u4eec\u7684\u5206\u6790\u63d0\u4f9b\u4e86\u5173\u4e8e\u8fd9\u573a\u5371\u673a\u7684\u5fc3\u7406\u8d1f\u62c5\u7684\u72ec\u7279\u89c1\u89e3\uff0c\u91cd\u70b9\u5728\u4e8e\uff1a\uff08i\uff09\u610f\u5927\u5229\u5b98\u65b9\u8fdb\u884c\u81ea\u6211\u68c0\u75ab\u8fd0\u52a8\uff08#iorestoacasa\uff0c\uff08ii\uff09\u56fd\u5bb6\u5c01\u9501\uff08#italylockdown\uff09\uff0c\u4ee5\u53ca\uff08iii\uff09\u793e\u4f1a\u8c34\u8d23\uff08 #sciacalli\uff09\u3002\u6211\u4eec\u7684\u63a2\u7d22\u63ed\u793a\u4e86\u590d\u6742\u7684\u60c5\u7eea\u7279\u5f81\u51fa\u73b0\u7684\u8bc1\u636e\uff0c\u5176\u4e2d\u6124\u6012\u548c\u6050\u60e7\uff08\u9488\u5bf9\u653f\u6cbb\u8fa9\u8bba\u548c\u793e\u4f1a\u7ecf\u6d4e\u5f71\u54cd\uff09\u4e0e\u4fe1\u4efb\uff0c\u56e2\u7ed3\u548c\u5e0c\u671b\uff08\u4e0e\u673a\u6784\u548c\u5730\u65b9\u793e\u533a\u6709\u5173\uff09\u5e76\u5b58\u3002\u6211\u4eec\u8ba8\u8bba\u4e86\u4e0e\u5fc3\u7406\u5065\u5eb7\u95ee\u9898\u548c\u5e94\u5bf9\u673a\u5236\uff08\u4f8b\u5982\u717d\u52a8\u66b4\u529b\uff0c\u60b2\u4f24\u548c\u56e2\u7ed3\uff09\u6709\u5173\u7684\u53d1\u73b0\u3002\u6211\u4eec\u8ba4\u4e3a\uff0c\u6211\u4eec\u7684\u6846\u67b6\u4ee3\u8868\u4e86\u4e00\u79cd\u521b\u65b0\u7684\u60c5\u7eea\u72b6\u6001\u6e29\u5ea6\u8ba1\uff0c\u662f\u51b3\u7b56\u8005\u5feb\u901f\u8bc4\u4f30\u5927\u91cf\u53d7\u4f17\u611f\u53d7\u5e76\u6839\u636e\u8ba4\u77e5\u6570\u636e\u5236\u5b9a\u9002\u5f53\u5e94\u5bf9\u63aa\u65bd\u7684\u5f3a\u5927\u5de5\u5177\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7528\u65c5\u884c\u4f20\u67d3\u6765\u6a21\u62df<\/strong><\/span><\/p>\n

    \u4f20\u67d3\u75c5\u5728\u57ce\u5e02\u5730\u533a\u7684\u4f20\u64ad<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Modeling th<\/span>e spread of infectious disease in urban areas with travel contagion<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04583<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Xinwu Qian, Satish V. Ukkusuri<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u5efa\u7acb\u4e86\u6570\u5b66\u6a21\u578b\u6765\u7406\u89e3\u4f20\u67d3\u75c5\u4f20\u64ad\u52a8\u529b\u5b66\u4e0e\u901a\u8fc7\u57ce\u5e02\u4ea4\u901a\u7cfb\u7edf\u7684\u6d41\u52a8\u6027\u4e4b\u95f4\u7684\u8026\u5408\u3002\u6211\u4eec\u9996\u5148\u5c06\u57ce\u5e02\u4eba\u53e3\u7684\u6d41\u52a8\u52a8\u6001\u63cf\u8ff0\u4e3a\u4ece\u5bb6\u4e2d\u79bb\u5f00\uff0c\u5f80\u8fd4\u6d3b\u52a8\u5730\u70b9\u548c\u8fdb\u884c\u6d3b\u52a8\u7684\u8fc7\u7a0b\u3002\u7136\u540e\uff0c\u6211\u4eec\u5c06\u6613\u611f\u66b4\u9732\u4f20\u67d3\u6062\u590d\uff08SEIR\uff09\u8fc7\u7a0b\u5d4c\u5165\u5230\u79fb\u52a8\u52a8\u529b\u5b66\u4e2d\uff0c\u5e76\u5f00\u53d1\u4e86\u5e26\u6709\u65c5\u884c\u4f20\u67d3\uff08Trans-SEIR\uff09\u7684\u7a7a\u95f4SEIR\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u660e\u786e\u8bf4\u660e\u4e86\u65c5\u884c\u548c\u65e5\u5e38\u6d3b\u52a8\u4e2d\u7684\u4f20\u67d3\u3002\u6211\u4eec\u8c03\u67e5\u4e86\u63d0\u51fa\u7684\u6a21\u578b\u7684\u7406\u8bba\u6027\u8d28\uff0c\u5e76\u663e\u793a\u4e86\u6d3b\u52a8\u6027\u4f20\u67d3\u548c\u65c5\u884c\u6027\u4f20\u67d3\u5982\u4f55\u5f71\u54cd\u7ee7\u53d1\u611f\u67d3\u7684\u5e73\u5747\u6570\u91cf\u3002\u5728\u6570\u503c\u5b9e\u9a8c\u4e2d\uff0c\u6211\u4eec\u63a2\u7d22\u4e86\u57ce\u5e02\u4ea4\u901a\u7cfb\u7edf\u5982\u4f55\u6539\u53d8\u4f20\u67d3\u75c5\u7684\u57fa\u672c\u52a8\u6001\uff0c\u6539\u53d8\u7ee7\u53d1\u611f\u67d3\u7684\u6570\u91cf\uff0c\u4fc3\u8fdb\u6574\u4e2a\u57ce\u5e02\u75be\u75c5\u7684\u540c\u6b65\u5316\u4ee5\u53ca\u5f71\u54cd\u75be\u75c5\u7206\u53d1\u7684\u9ad8\u5cf0\u3002Trans-SEIR\u6a21\u578b\u8fdb\u4e00\u6b65\u5e94\u7528\u4e8e\u4e86\u89e3\u7ebd\u7ea6\u5e02COVID-19\u66b4\u53d1\u671f\u95f4\u7684\u75be\u75c5\u52a8\u6001\uff0c\u5728\u8fd9\u91cc\u6211\u4eec\u5c55\u793a\u4e86\u6d3b\u52a8\u548c\u65c5\u884c\u4f20\u67d3\u5982\u4f55\u5206\u5e03\u4ee5\u53ca\u5982\u4f55\u4ec5\u7528\u6709\u9650\u7684\u8d44\u6e90\u5c31\u80fd\u5b9e\u73b0\u6709\u6548\u7684\u65c5\u884c\u63a7\u5236\u3002Trans-SEIR\u6a21\u578b\u4ee5\u53ca\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u53ef\u80fd\u5bf9\u589e\u8fdb\u6211\u4eec\u5bf9\u57ce\u5e02\u4ea4\u901a\u4e0e\u75be\u75c5\u52a8\u529b\u5b66\u4e4b\u95f4\u7684\u8026\u5408\uff0c\u68c0\u75ab\u548c\u75be\u75c5\u7cfb\u7edf\u63a7\u5236\u63aa\u65bd\u7684\u53d1\u5c55\u7684\u7406\u89e3\uff0c\u4ee5\u53ca\u4fc3\u8fdb\u5bf9\u75be\u75c5\u5177\u6709\u62b5\u6297\u529b\u7684\u57ce\u5e02\u6982\u5ff5\u7684\u7406\u89e3\u505a\u51fa\u91cd\u5927\u8d21\u732e\u3002\u4ea4\u901a\u7f51\u7edc\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    ConvoKit\uff1a\u7528\u4e8e\u5206\u6790\u4f1a\u8bdd\u7684\u5de5\u5177\u5305<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    ConvoKit: A Toolkit for the Analysis of Conversations<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04246<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Jonathan P. Chang, Caleb Chiam, Liye Fu, Andrew Z. Wang, Justine Zhang, Cristian Danescu-Niculescu-Mizil<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u4ecb\u7ecd\u4e86ConvoKit\u7684\u8bbe\u8ba1\u548c\u529f\u80fd\uff0cConvoKit\u662f\u4e00\u79cd\u7528\u4e8e\u5206\u6790\u5bf9\u8bdd\u548c\u5d4c\u5165\u5176\u4e2d\u7684\u793e\u4ea4\u4e92\u52a8\u7684\u5f00\u6e90\u5de5\u5177\u5305\u3002ConvoKit\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7528\u4e8e\u8868\u793a\u548c\u5904\u7406\u5bf9\u8bdd\u6570\u636e\u7684\u7edf\u4e00\u6846\u67b6\uff0c\u4ee5\u53ca\u5927\u91cf\u591a\u6837\u7684\u5bf9\u8bdd\u6570\u636e\u96c6\u3002\u901a\u8fc7\u63d0\u4f9b\u7528\u4e8e\u6d4f\u89c8\u5bf9\u8bdd\u6570\u636e\u5e76\u4e0e\u4e4b\u4ea4\u4e92\u7684\u76f4\u89c2\u754c\u9762\uff0c\u8be5\u5de5\u5177\u5305\u964d\u4f4e\u4e86\u5e7f\u6cdb\u91c7\u7528\u5bf9\u8bdd\u5206\u6790\u8ba1\u7b97\u65b9\u6cd5\u7684\u6280\u672f\u969c\u788d\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    HiJoD\uff1a\u4f7f\u7528\u5206\u5c42\u8054\u5408\u5206\u89e3\u5bf9<\/strong><\/span><\/p>\n

    \u9519\u8bef\u4fe1\u606f\u8fdb\u884c\u534a\u76d1\u7763\u591a\u65b9\u9762\u68c0\u6d4b<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    HiJoD: Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04310<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Sara Abdali, Neil Shah, Evangelos E. Papalexakis<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u5f53\u4eca\u4e92\u8054\u4e92\u901a\u7684\u4e16\u754c\u4e2d\uff0c\u533a\u5206\u9519\u8bef\u4fe1\u606f\u548c\u771f\u5b9e\u4fe1\u606f\u662f\u6700\u5177\u6311\u6218\u6027\u7684\u95ee\u9898\u4e4b\u4e00\u3002\u5728\u68c0\u6d4b\u9519\u8bef\u4fe1\u606f\u65b9\u9762\uff0c\u7edd\u5927\u591a\u6570\u6700\u65b0\u6280\u672f\u90fd\u53d7\u5230\u5145\u5206\u76d1\u7763\uff0c\u9700\u8981\u5927\u91cf\u9ad8\u8d28\u91cf\u7684\u4eba\u7c7b\u6ce8\u91ca\u3002\u4f46\u662f\uff0c\u8fd9\u6837\u7684\u6ce8\u91ca\u7684\u53ef\u7528\u6027\u4e0d\u80fd\u88ab\u8ba4\u4e3a\u662f\u7406\u6240\u5f53\u7136\u7684\uff0c\u56e0\u4e3a\u8fd9\u6837\u505a\u975e\u5e38\u6602\u8d35\uff0c\u8d39\u65f6\u4e14\u5177\u6709\u6311\u6218\u6027\uff0c\u4ee5\u8ddf\u4e0a\u9519\u8bef\u4fe1\u606f\u6cdb\u6ee5\u7684\u65b9\u5f0f\u8fdb\u884c\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u6709\u5174\u8da3\u63a2\u7d22\u6ce8\u91ca\u6570\u91cf\u6709\u9650\u7684\u573a\u666f\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u5982\u4f55\u5229\u7528\u8868\u5f81\u65b0\u95fb\u6587\u7ae0\u7684\u591a\u79cd\u8d44\u6e90\uff08\u6b64\u540e\u79f0\u4e3a\u201c\u65b9\u9762\u201d\uff09\u53ef\u4ee5\u5f25\u8865\u6807\u7b7e\u7684\u4e0d\u8db3\u3002\u7279\u522b\u662f\uff0c\u6211\u4eec\u5728\u672c\u6587\u4e2d\u7684\u8d21\u732e\u662f\u53cc\u91cd\u7684\uff1a1\uff09\u6211\u4eec\u5efa\u8bae\u4f7f\u7528\u4e09\u4e2a\u4e0d\u540c\u65b9\u9762\uff1a\u6587\u7ae0\u5185\u5bb9\uff0c\u793e\u4ea4\u5171\u4eab\u884c\u4e3a\u7684\u4e0a\u4e0b\u6587\u4ee5\u53ca\u5bbf\u4e3b\u7f51\u7ad9\/\u57df\u529f\u80fd\uff0c\u4ee5\u53ca2\uff09\u6211\u4eec\u5f15\u5165\u4e86\u57fa\u4e8e\u5f20\u91cf\u7684\u6709\u539f\u5219\u7684\u5d4c\u5165\u6846\u67b6\uff0c\u6709\u6548\u5730\u7ed3\u5408\u4e86\u6240\u6709\u8fd9\u4e9b\u65b9\u9762\u3002\u6211\u4eec\u63d0\u51fa\u4e86HiJoD 2\u7ea7\u5206\u89e3\u6d41\u6c34\u7ebf\uff0c\u5b83\u4e0d\u4ec5\u5728Twitter\u548cPolitifact\u6570\u636e\u96c6\u4e0a\u7684F1\u5206\u6570\u5206\u522b\u4f18\u4e8e74\uff05\u548c81\uff05\u7684\u6700\u65b0\u65b9\u6cd5\uff0c\u800c\u4e14\u6bd4\u7c7b\u4f3c\u7684\u96c6\u6210\u65b9\u6cd5\u5feb\u4e00\u4e2a\u6570\u91cf\u7ea7\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
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    <\/p>\n

    \u5927\u578b\u793e\u4f1a\u7f51\u7edc\u7684\u793e\u4ea4\u641c\u7d22\u6a21\u578b<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    A Social Search Model for Large Scale Social Networks<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04356<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Yunzhong He, Wenyuan Li, Liang-Wei Chen, Gabriel Forgues, Xunlong Gui, Sui Liang, Bo Hou<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u968f\u7740\u793e\u4f1a\u7f51\u7edc\u7684\u5174\u8d77\uff0c\u4e92\u8054\u7f51\u4e0a\u7684\u4fe1\u606f\u4e0d\u518d\u4ec5\u7531\u7f51\u9875\u7ec4\u7ec7\u3002\u76f8\u53cd\uff0c\u5185\u5bb9\u662f\u5728\u7528\u6237\u4e4b\u95f4\u751f\u6210\u548c\u5171\u4eab\u7684\uff0c\u5e76\u56f4\u7ed5\u4ed6\u4eec\u5728\u793e\u4f1a\u7f51\u7edc\u4e0a\u7684\u793e\u4f1a\u5173\u7cfb\u8fdb\u884c\u7ec4\u7ec7\u3002\u8fd9\u7ed9\u4fe1\u606f\u68c0\u7d22\u7cfb\u7edf\u63d0\u51fa\u4e86\u65b0\u7684\u6311\u6218\u3002\u5728\u793e\u4f1a\u7f51\u7edc\u641c\u7d22\u7cfb\u7edf\u4e0a\uff0c\u7ed3\u679c\u96c6\u7684\u751f\u6210\u4e0d\u4ec5\u9700\u8981\u50cf\u4f20\u7edf\u7684Web\u641c\u7d22\u5f15\u64ce\u4e00\u6837\u8003\u8651\u5173\u952e\u5b57\u5339\u914d\uff0c\u800c\u4e14\u8fd8\u9700\u8981\u8003\u8651\u641c\u7d22\u8005\u7684\u793e\u4ea4\u5173\u7cfb\u548c\u5185\u5bb9\u7684\u53ef\u89c1\u6027\u8bbe\u7f6e\u3002\u6b64\u5916\uff0c\u641c\u7d22\u6392\u540d\u5e94\u8be5\u80fd\u591f\u5904\u7406\u6587\u672c\u76f8\u5173\u6027\u548c\u6765\u81ea\u793e\u4f1a\u7f51\u7edc\u7684\u4e30\u5bcc\u7684\u793e\u4ea4\u4e92\u52a8\u4fe1\u53f7\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4ecb\u7ecd\u4e00\u79cd\u793e\u4f1a\u68c0\u7d22\u673a\u5236\uff0c\u7136\u540e\u9488\u5bf9\u6392\u540d\u95ee\u9898\u7814\u7a76\u65b0\u9896\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff0c\u4ece\u800c\u63d0\u51fa\u9488\u5bf9\u8fd9\u4e24\u4e2a\u6311\u6218\u7684\u89e3\u51b3\u65b9\u6848\u3002\u68c0\u7d22\u7cfb\u7edf\u5c06\u793e\u4ea4\u8054\u7cfb\u89c6\u4e3a\u7d22\u5f15\u9879\uff0c\u5e76\u901a\u8fc7\u4ee5\u53d7\u9650\u7684\u4f18\u5316\u65b9\u5f0f\u504f\u5411\u7d27\u5bc6\u7684\u793e\u4ea4\u8054\u7cfb\u6765\u751f\u6210\u6709\u610f\u4e49\u7684\u7ed3\u679c\u96c6\u3002\u7136\u540e\uff0c\u901a\u8fc7\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5bf9\u7ed3\u679c\u96c6\u8fdb\u884c\u6392\u540d\uff0c\u8be5\u795e\u7ecf\u7f51\u7edc\u4ee5\u4e24\u5854\u5f0f\u65b9\u6cd5\u5904\u7406\u6587\u672c\u548c\u793e\u4ea4\u76f8\u5173\u6027\uff0c\u5176\u4e2d\u4e2a\u6027\u5316\u548c\u6587\u672c\u76f8\u5173\u6027\u53ef\u4ee5\u5171\u540c\u89e3\u51b3\u3002\u8be5\u68c0\u7d22\u673a\u5236\u5df2\u90e8\u7f72\u5728Facebook\u4e0a\uff0c\u6b63\u5728\u5e2e\u52a9\u6570\u5341\u4ebf\u7528\u6237\u6709\u6548\u5730\u4ece\u5176\u8054\u7cfb\u4e2d\u67e5\u627e\u5e16\u5b50\u3002\u6839\u636e\u68c0\u7d22\u5230\u7684\u5e16\u5b50\uff0c\u6211\u4eec\u8bc4\u4f30\u4e24\u5854\u4e2d\u7acb\u7f51\u7edc\uff0c\u5e76\u68c0\u67e5\u4e2a\u6027\u5316\u548c\u6587\u672c\u4fe1\u53f7\u5728\u6392\u540d\u95ee\u9898\u4e2d\u7684\u91cd\u8981\u6027\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    SocialTrans\uff1aWeb\u89c4\u6a21\u63a8\u8350\u7cfb<\/strong><\/span><\/p>\n

    \u7edf\u7684\u5177\u6709\u793e\u4ea4\u4fe1\u606f\u7684\u6df1\u5ea6\u5e8f\u5217\u6a21\u578b<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span><\/section>\n

    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04361<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Qiaoan Chen, Hao Gu, Lingling Yi, Yishi Lin, Peng He, Chuan Chen, Yangqiu Song<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u793e\u4f1a\u7f51\u7edc\u5e73\u53f0\u4e0a\uff0c\u7528\u6237\u7684\u884c\u4e3a\u57fa\u4e8e\u4ed6\/\u5979\u7684\u4e2a\u4eba\u5174\u8da3\uff0c\u6216\u53d7\u4ed6\/\u5979\u7684\u670b\u53cb\u7684\u5f71\u54cd\u3002\u5728\u6587\u732e\u4e2d\uff0c\u901a\u5e38\u5bf9\u7528\u6237\u7684\u4e2a\u4eba\u504f\u597d\u6216\u4ed6\u4eec\u7684\u793e\u4f1a\u5f71\u54cd\u504f\u597d\u5efa\u6a21\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4e3a\u793e\u4ea4\u63a8\u8350\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u9896\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578bSocialTrans\uff0c\u4ee5\u6574\u5408\u8fd9\u4e24\u79cd\u7c7b\u578b\u7684\u504f\u597d\u3002SocialTrans\u7531\u4e09\u4e2a\u6a21\u5757\u7ec4\u6210\u3002\u7b2c\u4e00\u4e2a\u6a21\u5757\u57fa\u4e8e\u591a\u5c42\u53d8\u538b\u5668\u6765\u6a21\u62df\u7528\u6237\u7684\u4e2a\u4eba\u559c\u597d\u3002\u7b2c\u4e8c\u4e2a\u6a21\u5757\u662f\u591a\u5c42\u56fe\u6ce8\u610f\u529b\u795e\u7ecf\u7f51\u7edc\uff08GAT\uff09\uff0c\u7528\u4e8e\u5efa\u6a21\u793e\u4f1a\u7f51\u7edc\u4e2d\u670b\u53cb\u4e4b\u95f4\u7684\u793e\u4ea4\u5f71\u54cd\u529b\u3002\u6700\u540e\u4e00\u4e2a\u6a21\u5757\u5c06\u7528\u6237\u7684\u4e2a\u4eba\u504f\u7231\u548c\u53d7\u793e\u4f1a\u5f71\u54cd\u7684\u504f\u7231\u5408\u5e76\u4ee5\u4ea7\u751f\u63a8\u8350\u3002\u6211\u4eec\u7684\u6a21\u578b\u53ef\u4ee5\u6709\u6548\u5730\u62df\u5408\u5927\u89c4\u6a21\u6570\u636e\uff0c\u5e76\u4e14\u6211\u4eec\u5c06SocialTrans\u90e8\u7f72\u5230\u4e86\u4e2d\u56fd\u7684\u4e3b\u8981\u6587\u7ae0\u63a8\u8350\u7cfb\u7edf\u3002\u5728\u4e09\u4e2a\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u7684\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u6211\u4eec\u6a21\u578b\u7684\u6709\u6548\u6027\uff0c\u5e76\u8868\u660e\u5b83\u4f18\u4e8e\u6700\u65b0\u7684\u793e\u4f1a\u63a8\u8350\u65b9\u6cd5\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    <\/p>\n

    \n
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    \u5728\u7f8e\u56fd\u4e2d\u671f\u9009\u4e3e\u4e2d\u8bc4\u4f30\u9488<\/strong><\/span><\/p>\n

    \u5bf9\u5019\u9009\u4eba\u7684Twitter\u5bf9\u6297\u6027\u4e92\u52a8<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Towards Measuring Adversarial Twitter Interactions against Candidates in the US Midterm Elections<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04411<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Yiqing Hua, Thomas Ristenpart, Mor Naaman<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728Twitter\u7b49\u793e\u4ea4\u5a92\u4f53\u4e0a\u4e0e\u653f\u5ba2\u7684\u5bf9\u6297\u6027\u4e92\u52a8\u5bf9\u793e\u4f1a\u4ea7\u751f\u4e86\u91cd\u5927\u5f71\u54cd\u3002\u7279\u522b\u662f\uff0c\u5b83\u4eec\u6253\u4e71\u4e86\u5728\u7ebf\u4e0a\u7684\u5b9e\u8d28\u6027\u653f\u6cbb\u8ba8\u8bba\uff0c\u5e76\u53ef\u80fd\u963b\u6b62\u4eba\u4eec\u5bfb\u6c42\u516c\u804c\u3002\u5728\u672c\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u57282018\u5e74\u7f8e\u56fd\u5927\u9009\u524d\u5915\u8bc4\u4f30\u4e0e\u7f8e\u56fd\u4f17\u8bae\u9662\u5019\u9009\u4eba\u7684\u5bf9\u6297\u6027\u4e92\u52a8\u3002\u6211\u4eec\u6536\u96c6\u4e86\u4e00\u4e2a\u65b0\u6570\u636e\u96c6\uff0c\u5176\u4e2d\u5305\u542b\u6d89\u53ca\u5019\u9009\u4eba\u7684170\u4e07\u6761\u63a8\u6587\uff0c\u8fd9\u662f\u5173\u6ce8\u653f\u6cbb\u8a00\u8bba\u7684\u6700\u5927\u8bed\u6599\u5e93\u4e4b\u4e00\u3002\u7136\u540e\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u79cd\u65b0\u6280\u672f\u6765\u68c0\u6d4b\u9488\u5bf9\u4efb\u4f55\u7279\u5b9a\u5019\u9009\u4eba\u7684\u6709\u6bd2\u5185\u5bb9\u63a8\u6587\uff0c\u8fd9\u79cd\u6280\u672f\u4f7f\u6211\u4eec\u80fd\u591f\u66f4\u51c6\u786e\u5730\u91cf\u5316\u4e0e\u653f\u6cbb\u5019\u9009\u4eba\u7684\u5bf9\u6297\u6027\u4e92\u52a8\u3002\u6b64\u5916\uff0c\u6211\u4eec\u5f15\u5165\u4e86\u4e00\u79cd\u7b97\u6cd5\uff0c\u4ee5\u8bf1\u5bfc\u7279\u5b9a\u4e8e\u5019\u9009\u4eba\u7684\u5bf9\u6297\u6027\u8bcd\u8bed\u4ee5\u6355\u83b7\u4ee5\u524d\u7684\u6280\u672f\u53ef\u80fd\u6ca1\u6709\u6bd2\u6027\u7684\u66f4\u7ec6\u5fae\u7684\u5bf9\u6297\u6027\u76f8\u4e92\u4f5c\u7528\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528\u8fd9\u4e9b\u6280\u672f\u6765\u6982\u8ff0\u9009\u4e3e\u4e2d\u770b\u5230\u7684\u5bf9\u6297\u6027\u4e92\u52a8\u7684\u5e7f\u5ea6\uff0c\u5305\u62ec\u5192\u72af\u6027\u7684\u540d\u5b57\u53ec\u5524\uff0c\u66b4\u529b\u5a01\u80c1\uff0c\u53d1\u5e03\u4fe1\u8a89\u4e0d\u826f\u4fe1\u606f\uff0c\u5bf9\u8eab\u4efd\u7684\u653b\u51fb\u4ee5\u53ca\u5bf9\u6297\u6027\u6d88\u606f\u7684\u91cd\u590d\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    \u901a\u8fc7\u591a\u91cd\u4ea4\u4e92\u7f51\u7edc\u9884\u6d4b\u79d1\u5b66\u5408\u4f5c<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Prediction of scientific collaborations through multiplex interaction networks<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04432<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Marta Tuninetti, Alberto Aleta, Daniela Paolotti, Yamir Moreno, Michele Starnini<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u94fe\u8def\u9884\u6d4b\u7b97\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u60a8\u4e86\u89e3\u79d1\u5b66\u5408\u4f5c\u7684\u7ed3\u6784\u548c\u52a8\u6001\u4ee5\u53ca\u79d1\u5b66\u7684\u53d1\u5c55\u3002\u4f46\u662f\uff0c\u57fa\u4e8e\u534f\u4f5c\u7f51\u7edc\u8282\u70b9\u4e4b\u95f4\u76f8\u4f3c\u6027\u7684\u53ef\u7528\u7b97\u6cd5\u53d7\u5230\u8fd9\u4e9b\u7f51\u7edc\u4e2d\u5b58\u5728\u7684\u6709\u9650\u6570\u91cf\u7684\u94fe\u63a5\u7684\u9650\u5236\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u5c06Adamic-Adar\u65b9\u6cd5\u63a8\u5e7f\u5230\u7531\u4efb\u610f\u6570\u91cf\u7684\u5c42\u7ec4\u6210\u7684\u7f51\u7edc\u8fdb\u884c\u591a\u8def\uff0c\u4ece\u800c\u51cf\u5c11\u4e86\u540e\u8005\u56fa\u6709\u7684\u5c40\u9650\u6027\uff0c\u8fd9\u4e9b\u5c42\u5bf9\u5404\u79cd\u5f62\u5f0f\u7684\u79d1\u5b66\u76f8\u4e92\u4f5c\u7528\u8fdb\u884c\u7f16\u7801\u3002\u6211\u4eec\u8868\u660e\uff0c\u65b0\u6307\u6807\u4f18\u4e8e\u5176\u4ed6\u57fa\u4e8e\u76f8\u4f3c\u5ea6\u7684\u5355\u5c42\u8bc4\u5206\uff0c\u4ee5\u5f15\u7528\u548c\u5171\u540c\u5174\u8da3\uff08\u901a\u8fc7\u4f7f\u7528\u5e38\u89c1\u5173\u952e\u5b57\u6765\u8861\u91cf\uff09\u8868\u793a\u7684\u79d1\u5b66\u4fe1\u8a89\u53ef\u4ee5\u9884\u6d4b\u65b0\u5408\u4f5c\u3002\u6211\u4eec\u7684\u5de5\u4f5c\u4e3a\u66f4\u6df1\u5165\u5730\u4e86\u89e3\u63a8\u52a8\u79d1\u5b66\u5408\u4f5c\u7684\u52a8\u6001\u6027\u94fa\u5e73\u4e86\u9053\u8def\uff0c\u5e76\u63d0\u4f9b\u4e86\u53ef\u7528\u4e8e\u591a\u79cd\u7cfb\u7edf\u7684\u591a\u8def\u7f51\u7edc\u4e2d\u94fe\u8def\u9884\u6d4b\u7684\u65b0\u7b97\u6cd5\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u591a\u65b9\u7ade\u9009<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Multi-Party Campaigning<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04455<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Martin Kouteck\u00fd, Nimrod Talmon<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u7814\u7a76\u9009\u4e3e\u4e2d\u64cd\u7eb5\u7684\u793e\u4f1a\u9009\u62e9\u8bbe\u7f6e\uff0c\u5e76\u901a\u8fc7\u4e24\u79cd\u4e3b\u8981\u65b9\u5f0f\u6269\u5c55\u901a\u5e38\u7684\u6a21\u578b\uff1a\u9996\u5148\uff0c\u5728\u6211\u4eec\u7684\u8bbe\u7f6e\u4e2d\uff0c\u4e0d\u8003\u8651\u5355\u4e2a\u64cd\u7eb5\u4e3b\u4f53\uff0c\u800c\u662f\u6709\u591a\u4e2a\u53ef\u80fd\u7ade\u4e89\u7684\u4e3b\u4f53\u3002\u7b2c\u4e8c\uff0c\u6211\u4eec\u4e0d\u8fdb\u884c\u7b2c\u4e00\u6b21\u64cd\u7eb5\u4e4b\u540e\u7684\u9009\u4e3e\u8bc4\u4f30\uff0c\u800c\u5141\u8bb8\u8fdb\u884c\u6570\u6b21\u6765\u56de\u56de\u5408\u3002\u6211\u4eec\u8868\u660e\uff0c\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f8b\u5982\u5728\u53ea\u6709\u51e0\u4e2a\u5019\u9009\u4eba\u7684\u9009\u4e3e\u4e2d\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u8ba1\u7b97\u51fa\u6bcf\u4e2a\u64cd\u7eb5\u8005\u7684\u6700\u4f73\u7b56\u7565\u3002\u6211\u4eec\u7684\u7b97\u6cd5\u7ed3\u679c\u4f9d\u8d56\u4e8e\u516c\u5f0f\u5316\u7684\u95ee\u9898\uff0c\u5373\u627e\u5230\u4e00\u4e2a\u6700\u4f73\u7b56\u7565\u7684\u95ee\u9898\u662fPresburger\u7b97\u672f\u8bed\u53e5\u77ed\u4e14\u4ec5\u6d89\u53ca\u5c0f\u7cfb\u6570\uff0c\u8fd9\u8868\u660e\u5b83\u662f\u56fa\u5b9a\u53c2\u6570\u6613\u5904\u7406\u7684-\u5b9e\u9645\u4e0a\uff0c\u6211\u4eec\u7684\u8d21\u732e\u4e4b\u4e00\u662f\u5173\u4e8e\u56fa\u5b9a\u53c2\u6570\u7684\u4e00\u822c\u7ed3\u679c\u3002Presburger\u7b97\u672f\u7684\u53c2\u6570\u6613\u5904\u7406\u6027\uff0c\u5728\u5176\u4ed6\u8bbe\u7f6e\u4e2d\u53ef\u80fd\u6709\u7528\u3002\u6839\u636e\u6211\u4eec\u7684\u4e00\u822c\u5b9a\u7406\uff0c\u6211\u4eec\u8bbe\u8ba1\u4e86\u975e\u5e38\u4e00\u822c\u7684\u7b97\u6cd5\u3002\u7279\u522b\u662f\uff0c\u6211\u4eec\u63cf\u8ff0\u4e86\u5982\u4f55\u4e3a\u5404\u79cd\u8bbe\u7f6e\u8bbe\u8ba1\u6709\u6548\u7684\u7b97\u6cd5\uff0c\u5305\u62ec\u5728\u793e\u4f1a\u7f51\u7edc\u4e2d\u5bf9\u610f\u89c1\u4f20\u64ad\u8fdb\u884c\u5efa\u6a21\u7684\u8bbe\u7f6e\uff0c\u64cd\u7eb5\u8005\u53ef\u7528\u7684\u590d\u6742\u9884\u7b97\u65b9\u6848\u4ee5\u53ca\u5bf9\u654c\u624b\u884c\u52a8\u7684\u5404\u79cd\u5b9e\u9645\u9650\u5236\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5229\u7528\u89d2\u5ea6\u5ea6\u91cf\u7684\u5e73\u9762\u70b9\u5d4c\u5165\u53ef\u5b9e\u73b0\u6027<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Realizability of Planar Point Embeddings from Angle Measurements<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04469<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Frederike D\u00fcmbgen, Majed El Helou, Adam Scholefield<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8282\u70b9\u96c6\u7684\u672c\u5730\u5316\u662f\u673a\u5668\u4eba\u6280\u672f\u548c\u4f20\u611f\u5668\u7f51\u7edc\u4e2d\u4e00\u4e2a\u91cd\u8981\u4e14\u7ecf\u8fc7\u6df1\u5165\u7814\u7a76\u7684\u95ee\u9898\u3002\u672c\u6587\u6d89\u53ca\u5185\u89d2\u6d4b\u91cf\u4e2d\u7684\u5b9a\u4f4d\u7406\u8bba\u3002\u6211\u4eec\u4e13\u6ce8\u4e8e\u6ca1\u6709\u951a\u70b9\u4f4d\u7f6e\u7684\u6311\u6218\u6027\u6848\u4f8b\u3002\u53d7\u6b27\u51e0\u91cc\u5f97\u8ddd\u79bb\u77e9\u9635\u7684\u542f\u53d1\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u4e00\u7ec4\u5185\u89d2\u4f55\u65f6\u5bf9\u5e94\u4e8e\u53ef\u5b9e\u73b0\u7684\u70b9\u96c6\u3002\u7279\u522b\u662f\uff0c\u6211\u4eec\u53d1\u73b0\u7ebf\u6027\u548c\u975e\u7ebf\u6027\u7ea6\u675f\u88ab\u8bc1\u660e\u662f\u5fc5\u9700\u7684\uff0c\u5e76\u4e14\u6211\u4eec\u63a8\u6d4b\u4e5f\u8db3\u4ee5\u8868\u5f81\u53ef\u5b9e\u73b0\u7684\u89d2\u5ea6\u96c6\u3002\u6211\u4eec\u5728\u5e7f\u6cdb\u7684\u6570\u503c\u6a21\u62df\u4e2d\u8bc1\u5b9e\u4e86\u8fd9\u4e00\u70b9\uff0c\u5e76\u8bf4\u660e\u4e86\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u7ea6\u675f\u5bf9\u89d2\u5ea6\u6d4b\u91cf\u8fdb\u884c\u964d\u566a\u4ee5\u53ca\u6709\u6548\u70b9\u96c6\u7684\u91cd\u5efa\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u591a\u8def\u7f51\u7edc\u4e2d\u7684\u76f8\u5173\u7ed3\u6784\u6f14\u53d8<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Correlated structural evolution within multiplex networks<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04487<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Haochen Wu, Ryan G. James, James P. Crutchfield, Raissa M. D\u2019Souza<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u53ef\u4ee5\u4f7f\u7528\u5206\u5c42\u7f51\u7edc\u7684\u6846\u67b6\u6765\u8868\u793a\u8bb8\u591a\u81ea\u7136\u7684\uff0c\u5de5\u7a0b\u7684\u548c\u793e\u4ea4\u7684\u7cfb\u7edf\uff0c\u5176\u4e2d\u6bcf\u4e2a\u5c42\u6355\u83b7\u540c\u4e00\u7ec4\u8282\u70b9\u4e4b\u95f4\u7684\u4e0d\u540c\u7c7b\u578b\u7684\u4ea4\u4e92\u3002\u8fd9\u79cd\u591a\u8def\u7f51\u7edc\u7684\u7814\u7a76\u662f\u4e00\u4e2a\u5145\u6ee1\u6d3b\u529b\u7684\u7814\u7a76\u9886\u57df\u3002\u7136\u800c\uff0c\u7f3a\u4e4f\u5bf9\u5982\u4f55\u91cf\u5316\u5c42\u5bf9\u4e4b\u95f4\u5b58\u5728\u7684\u76f8\u5173\u6027\u4ee5\u53ca\u5728\u5b83\u4eec\u7684\u5171\u540c\u6f14\u5316\u4e2d\u5b58\u5728\u7684\u76f8\u5173\u6027\u7684\u66f4\u591a\u4e86\u89e3\u3002\u8fd9\u79cd\u65b9\u6cd5\u5c06\u4f7f\u6211\u4eec\u80fd\u591f\u89e3\u51b3\u6d89\u53ca\u529f\u80fd\uff0c\u5197\u4f59\u548c\u6f5c\u5728\u7834\u574f\u7b49\u95ee\u9898\u7684\u57fa\u672c\u95ee\u9898\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u9996\u5148\u5c55\u793a\u5982\u4f55\u4f7f\u7528\u591a\u8def\u7f51\u7edc\u7684\u8fb9\u96c6\u6765\u6784\u5efa\u63cf\u8ff0\u6240\u6709\u5c42\u4e0a\u8fb9\u5b58\u5728\u7684\u8054\u5408\u6982\u7387\u5206\u5e03\u7684\u4f30\u8ba1\u91cf\u3002\u7136\u540e\uff0c\u6211\u4eec\u91c7\u7528\u4e00\u79cd\u79f0\u4e3a\u6761\u4ef6\u4e92\u4fe1\u606f\u7684\u4e00\u822c\u76f8\u5173\u6027\u7684\u4fe1\u606f\u8bba\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u4f7f\u7528\u4f30\u8ba1\u7684\u8054\u5408\u6982\u7387\u5206\u5e03\u6765\u91cf\u5316\u5404\u5c42\u4e4b\u95f4\u5b58\u5728\u7684\u6210\u5bf9\u76f8\u5173\u6027\u3002\u6210\u5bf9\u6bd4\u8f83\u4e5f\u53ef\u4ee5\u662f\u6682\u65f6\u7684\uff0c\u4ece\u800c\u4f7f\u6211\u4eec\u80fd\u591f\u786e\u5b9a\u67d0\u4e2a\u5c42\u7684\u77e5\u8bc6\u662f\u5426\u53ef\u4ee5\u63d0\u4f9b\u6709\u5173\u53e6\u4e00\u5c42\u6f14\u53d8\u7684\u5176\u4ed6\u4fe1\u606f\u3002\u6211\u4eec\u5206\u6790\u4e86\u6765\u81ea\u4e09\u4e2a\u4e0d\u540c\u9886\u57df\u7684\u6570\u636e\u96c6-\u7ecf\u6d4e\uff0c\u653f\u6cbb\u548c\u822a\u7a7a\u516c\u53f8\u7f51\u7edc-\u5c55\u793a\u4e86\u5982\u4f55\u8bc6\u522b\u5c42\u4e0e\u5c42\u4e4b\u95f4\u7684\u7ed3\u6784\u548c\u52a8\u6001\u6f14\u5316\u7684\u6210\u5bf9\u76f8\u5173\u6027\uff0c\u5e76\u8868\u660e\u5f02\u5e38\u53ef\u4ee5\u4f5c\u4e3a\u91cd\u5927\u4e8b\u4ef6\uff08\u4f8b\u5982\u51b2\u51fb\uff09\u7684\u6f5c\u5728\u6307\u6807\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u590d\u73b0\u5e02\u573a\uff1a\u4eba\u5de5\u667a\u80fd\u590d\u73b0\u7684<\/strong><\/span><\/p>\n

    \u7ed3\u679c\u3001\u7ecf\u9a8c\u6559\u8bad\u3001\u6311\u6218\u548c\u673a\u9047<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Replication Markets: Results, Lessons, Challenges and Opportunities in AI Replication<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04543<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Yang Liu, Michael Gordon, Juntao Wang, Michael Bishop, Yiling Chen, Thomas Pfeiffer, Charles Twardy, Domenico Viganola<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u8fc7\u53bb\u7684\u5341\u5e74\u4e2d\uff0c\u793e\u4f1a\u548c\u884c\u4e3a\u79d1\u5b66\u4e2d\u51fa\u73b0\u4e86\u7cfb\u7edf\u7684\u5927\u89c4\u6a21\u590d\u5236\u9879\u76ee\uff08Camerer\u7b49\uff0c2016,2018; Ebersole\u7b49\uff0c2016; Klein\u7b49\uff0c2014,2018; Collaboration\uff0c2015\uff09 \u3002\u8fd9\u4e9b\u9879\u76ee\u662f\u53d7\u5230\u79d1\u5b66\u51fa\u7248\u7269\uff08Ioannidis\uff0c2005\u5e74\uff09\u4e2d\u5927\u91cf\u201c\u5047\u9633\u6027\u201d\u7684\u7406\u8bba\u548c\u6982\u5ff5\u5173\u6ce8\uff08\u4ee5\u53ca\u201c\u53ef\u7591\u7684\u7814\u7a76\u5b9e\u8df5\u201d\u7684\u76db\u884c\uff08Simmons\uff0cNelson\u548cSimonsohn\uff0c2011\u5e74\uff09\uff09\u9a71\u52a8\u7684\u3002\u5173\u4e8e\u7814\u7a76\u7ed3\u679c\u7684\u53ef\u4fe1\u5ea6\u5e76\u975e\u884c\u4e3a\u79d1\u5b66\u548c\u793e\u4f1a\u79d1\u5b66\u72ec\u6709;\u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\uff0c\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u548c\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u662f\u7279\u522b\u4ee4\u4eba\u5173\u6ce8\u7684\u9886\u57df\uff08Lucic\u7b49\u4eba\uff0c2018\u5e74; Freire\uff0cBonnet\u548cShasha \uff082012\u5e74\uff1bGundersen\u548cKjensmo\uff0c2018\u5e74\uff1bHenderson\u7b49\u4eba\uff0c2018\u5e74\uff09\u3002\u9274\u4e8e\u884c\u4e3a\u548c\u793e\u4f1a\u79d1\u5b66\u5728\u4fc3\u8fdb\u65b0\u9896\u65b9\u6cd5\u5b66\u4ee5\u63d0\u9ad8\u7814\u7a76\u53ef\u4fe1\u5ea6\u65b9\u9762\u7684\u5f00\u62d3\u6027\u4f5c\u7528\uff0c\u8fd9\u662f\u4e00\u79cd\u6709\u524d\u9014\u7684\u5206\u6790\u7ecf\u9a8c\u6559\u8bad\u7684\u65b9\u6cd5\u4ece\u8fd9\u4e2a\u9886\u57df\u5e76\u8c03\u6574\u8ba1\u7b97\u673a\u79d1\u5b66\uff0c\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u7684\u7b56\u7565\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u56de\u987e\u4e86\u884c\u4e3a\u548c\u793e\u4f1a\u79d1\u5b66\u4ee5\u53caDARPA SCORE\u9879\u76ee\u4e2d\u4f7f\u7528\u7684\u65b9\u6cd5\uff0c\u6211\u4eec\u7279\u522b\u5173\u6ce8\u4eba\u5de5\u9884\u6d4b\u590d\u5236\u7ed3\u679c\u7684\u65b9\u6cd5\uff0c\u4ee5\u53ca\u9884\u6d4b\u5982\u4f55\u5229\u7528\u4ece\u76f8\u5bf9\u52b3\u52a8\u548c\u8d44\u6e90\u5bc6\u96c6\u578b\u590d\u5236\u4e2d\u83b7\u5f97\u7684\u4fe1\u606f\u3002\u6211\u4eec\u5c06\u8ba8\u8bba\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u76d1\u89c6\u548c\u63d0\u9ad8\u8ba1\u7b97\u673a\u79d1\u5b66\uff0c\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u7814\u7a76\u9886\u57df\u7684\u4fe1\u8a89\u7684\u673a\u9047\u548c\u6311\u6218\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u8026\u5408\u53ef\u4f38\u7f29\u8d1d\u53f6\u65af\u9c81\u68d2\u5f20\u91cf<\/strong><\/span><\/p>\n

    \u5206\u89e3\u6a21\u578b\u7684\u975e\u7ecf\u5e38\u6027\u4ea4\u901a\u62e5\u5835\u68c0\u6d4b<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04567<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Qin Li, Huachun Tan, Xizhu Jiang, Yuankai Wu, Linhui Ye<\/span><\/section>\n

    <\/span><\/strong><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u975e\u7ecf\u5e38\u6027\u4ea4\u901a\u62e5\u5835\uff08NRTC\uff09\u901a\u5e38\u4f1a\u7ed9\u901a\u52e4\u8005\u5e26\u6765\u610f\u60f3\u4e0d\u5230\u7684\u5ef6\u8bef\u3002\u56e0\u6b64\uff0c\u5b9e\u65f6\u51c6\u786e\u5730\u68c0\u6d4b\u548c\u8bc6\u522bNRTC\u81f3\u5173\u91cd\u8981\u3002\u9053\u8def\u4ea4\u901a\u68c0\u6d4b\u5668\u548c\u73af\u8def\u68c0\u6d4b\u5668\u7684\u53d1\u5c55\u4e3a\u7814\u7a76\u4eba\u5458\u63d0\u4f9b\u4e86\u5927\u89c4\u6a21\u7684\u591a\u53d8\u91cf\u65f6\u7a7a\u4ea4\u901a\u6570\u636e\uff0c\u8fd9\u4f7f\u5f97\u5bf9NRTC\u7684\u6df1\u5165\u7814\u7a76\u6210\u4e3a\u53ef\u80fd\u3002\u4f46\u662f\uff0c\u6784\u5efa\u4e00\u4e2a\u5206\u6790\u6846\u67b6\u4ecd\u7136\u662f\u4e00\u9879\u8270\u5de8\u7684\u4efb\u52a1\uff0c\u901a\u8fc7\u8be5\u6846\u67b6\u53ef\u4ee5\u6709\u6548\u5730\u8868\u793a\u548c\u5229\u7528\u591a\u53d8\u91cf\u4ea4\u901a\u4fe1\u606f\u7684\u81ea\u7136\u65f6\u7a7a\u7ed3\u6784\u7279\u6027\uff0c\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u548c\u68c0\u6d4bNRTC\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u8026\u5408\u53ef\u4f38\u7f29\u8d1d\u53f6\u65af\u9c81\u68d2\u5f20\u91cf\u56e0\u5b50\u5206\u89e3\uff08\u8026\u5408SBRTF\uff09\u7684\u65b0\u9896\u7684\u65e0\u5206\u6790\u8bad\u7ec3\u6846\u67b6\u3002\u8be5\u6846\u67b6\u53ef\u4ee5\u901a\u8fc7\u5171\u4eab\u76f8\u4f3c\u6216\u76f8\u540c\u7684\u7a00\u758f\u7ed3\u6784\u6765\u8026\u5408\u591a\u53d8\u91cf\u4ea4\u901a\u6570\u636e\uff0c\u5305\u62ec\u4ea4\u901a\u6d41\u91cf\uff0c\u9053\u8def\u901f\u5ea6\u548c\u5360\u7528\u7387\u3002\u5e76\u4e14\uff0c\u5b83\u81ea\u7136\u5730\u901a\u8fc7\u5f20\u91cf\u5206\u89e3\u6765\u6355\u83b7\u4ea4\u901a\u6570\u636e\u7684\u9ad8\u7ef4\u65f6\u7a7a\u7ed3\u6784\u7279\u6027\u3002\u901a\u8fc7\u5176\u6761\u76ee\u63ed\u793a\u4e86NRTC\u7684\u5206\u5e03\u548c\u7a0b\u5ea6\uff0c\u8be5\u6846\u67b6\u7684\u5171\u4eab\u7a00\u758f\u7ed3\u6784\u7f57\u5217\u51fa\u4e86\u5173\u4e8eNRTC\u7684\u8db3\u591f\u4e30\u5bcc\u7684\u4fe1\u606f\u3002\u800c\u6846\u67b6\u7684\u4f4e\u7aef\u90e8\u5206\u5219\u8868\u793a\u4e00\u822c\u9884\u671f\u4ea4\u901a\u72b6\u51b5\u7684\u5206\u5e03\u4f5c\u4e3a\u8f85\u52a9\u4ea7\u54c1\u3002\u5b9e\u9645\u4ea4\u901a\u6570\u636e\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u8be5\u65b9\u6cd5\u5728\u68c0\u6d4bNRTC\u65b9\u9762\u4f18\u4e8e\u8d1d\u53f6\u65af\u9c81\u68d2\u4e3b\u6210\u5206\u5206\u6790\uff08BRPCA\u8026\u5408\uff09\uff0c\u7a00\u758f\u5f20\u91cf\u5206\u89e3\uff08RSTD\uff09\u548c\u6807\u51c6\u6b63\u6001\u504f\u5dee\uff08SND\uff09\u3002\u5f53\u4ec5\u5229\u7528\u5de5\u4f5c\u65e5\u4e2d\u7684\u4ea4\u901a\u6570\u636e\u65f6\uff0c\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u751a\u81f3\u8868\u73b0\u5f97\u66f4\u597d\uff0c\u56e0\u6b64\u53ef\u4ee5\u4e3a\u65e5\u5e38\u901a\u52e4\u8005\u63d0\u4f9b\u66f4\u7cbe\u786e\u7684NRTC\u4f30\u7b97\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u8282\u70b9\u5d4c\u5165\u7684\u4e00\u81f4\u7f51\u7edc\u5bf9\u9f50<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Consistent Network Alignment with Node Embedding<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04725<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Xiyuan Chen, Mark Heimann, Fatemeh Vahedian, Danai Koutra<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u7f51\u7edc\u5bf9\u9f50\u662f\u5728\u4e0d\u540c\u56fe\u4e2d\u67e5\u627e\u8282\u70b9\u4e4b\u95f4\u5bf9\u5e94\u5173\u7cfb\u7684\u8fc7\u7a0b\uff0c\u5177\u6709\u91cd\u8981\u7684\u79d1\u5b66\u548c\u5de5\u4e1a\u5e94\u7528\u3002\u6211\u4eec\u53d1\u73b0\u8bb8\u591a\u73b0\u6709\u7684\u7f51\u7edc\u5bf9\u9f50\u65b9\u6cd5\u65e0\u6cd5\u5b9e\u73b0\u7cbe\u786e\u5bf9\u9f50\uff0c\u56e0\u4e3a\u5b83\u4eec\u5728\u5bf9\u9f50\u8fc7\u7a0b\u4e2d\u4f1a\u7834\u574f\u8282\u70b9\u90bb\u57df\uff0c\u4ece\u800c\u65e0\u6cd5\u4fdd\u6301\u5339\u914d\u7684\u90bb\u57df\u4e00\u81f4\u6027\u3002\u4e3a\u4e86\u6539\u5584\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u63d0\u51fa\u4e86CONE-Align\uff0c\u5b83\u57fa\u4e8e\u5bf9\u7f51\u7edc\u5185\u90e8\u90bb\u8fd1\u5ea6\u8fdb\u884c\u5efa\u6a21\u7684\u5d4c\u5165\u6765\u5339\u914d\u8282\u70b9\uff0c\u5e76\u8fdb\u884c\u5bf9\u9f50\u4ee5\u5728\u6574\u4e2a\u7f51\u7edc\u4e4b\u95f4\u5177\u6709\u53ef\u6bd4\u6027\u3002\u5728\u5177\u6709\u6311\u6218\u6027\u7684\u5404\u79cd\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u7684\u5b9e\u9a8c\u8868\u660e\uff0c\u4e0e\u6700\u65b0\u7684\u56fe\u5bf9\u9f50\u7b97\u6cd5\u76f8\u6bd4\uff0cCONE-Align\u5177\u6709\u8f83\u5f3a\u7684\u9c81\u68d2\u6027\uff0c\u5e76\u4e14\u53ef\u83b7\u5f97\u9ad8\u8fbe49\uff05\u7684\u7cbe\u5ea6\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
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    <\/p>\n


    <\/p>\n

    \n
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    <\/p>\n

    PageRank\u548cK-Means\u805a\u7c7b\u7b97\u6cd5<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    PageRank and The K-Means Clustering Algorithm<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04774<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Mustafa Hajij, Eyad Said, Robert Todd<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u5f15\u5165\u4e86\u4e00\u79cd\u56fe\u805a\u7c7b\u7b97\u6cd5\uff0c\u8be5\u7b97\u6cd5\u5c06 k  -means\u63a8\u5e7f\u5230\u56fe\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u5229\u7528\u56fe\u4e0a\u7684PageRank\u5ea6\u91cf\u6765\u5feb\u901f\u800c\u7a33\u5065\u5730\u8ba1\u7b97\u7ed9\u5b9a\u56fe\u4e2d\u8282\u70b9\u7684\u4e2d\u5fc3\u5ea6\u3002\u6b64\u5916\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u6211\u4eec\u7684\u65b9\u6cd5\u63a8\u5e7f\u5230\u5ea6\u91cf\u7a7a\u95f4\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u4e8e\u5176\u4ed6\u9886\u57df\uff0c\u4f8b\u5982\u70b9\u4e91\u548c\u4e09\u89d2\u7f51\u683c\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u56fe\u805a\u7c7b\u7b97\u6cd5\u7684\u6bd4\u8f83\u4e0e\u57fa\u51c6<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/strong><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Comparison and Benchmark of Graph Clustering Algorithms<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04806<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Lizhen Shi, Bo Chen<\/span><\/section>\n

    <\/span><\/strong><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u56fe\u805a\u7c7b\u88ab\u5e7f\u6cdb\u7528\u4e8e\u751f\u7269\u7f51\u7edc\uff0c\u793e\u4f1a\u7f51\u7edc\u7b49\u7684\u5206\u6790\u3002\u5341\u591a\u5e74\u6765\uff0c\u8bb8\u591a\u56fe\u805a\u7c7b\u7b97\u6cd5\u5df2\u7ecf\u53d1\u5e03\uff0c\u4f46\u662f\u5c1a\u65e0\u6cd5\u8fdb\u884c\u5168\u9762\u800c\u4e00\u81f4\u7684\u6027\u80fd\u6bd4\u8f83\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5bf970\u591a\u4e2a\u56fe\u805a\u7c7b\u7a0b\u5e8f\u8fdb\u884c\u4e86\u57fa\u51c6\u6d4b\u8bd5\uff0c\u4ee5\u8bc4\u4f30\u5b83\u4eec\u5728\u52a0\u6743\u56fe\u548c\u975e\u52a0\u6743\u56fe\u4e0a\u7684\u8fd0\u884c\u65f6\u95f4\u548c\u8d28\u91cf\u6027\u80fd\u3002\u6211\u4eec\u8fd8\u5206\u6790\u4e86\u5f71\u54cd\u8868\u73b0\u7684\u5730\u9762\u4e8b\u5b9e\u7684\u7279\u5f81\u3002\u6211\u4eec\u7684\u5de5\u4f5c\u4e0d\u4ec5\u53ef\u4ee5\u4e3a\u5de5\u7a0b\u5e08\u9009\u62e9\u805a\u7c7b\u7b97\u6cd5\u63d0\u4f9b\u4e00\u4e2a\u8d77\u70b9\uff0c\u8fd8\u53ef\u4ee5\u4e3a\u7814\u7a76\u4eba\u5458\u8bbe\u8ba1\u65b0\u7b97\u6cd5\u63d0\u4f9b\u4e00\u4e2a\u89c2\u70b9\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    Keen2Act\uff1a\u5728\u7ebf\u793e\u4ea4<\/strong><\/span><\/p>\n

    \u534f\u4f5c\u5e73\u53f0\u4e2d\u7684\u6d3b\u52a8\u63a8\u8350<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span><\/section>\n

    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Keen2Act: Activity Recommendation in Online Social Collaborative Platforms<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04833<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Roy Ka-Wei Lee, Thong Hoang, Richard J. Oentaryo, David Lo<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8bf8\u5982GitHub\u548cStack Overflow\u4e4b\u7c7b\u7684\u793e\u4ea4\u534f\u4f5c\u5e73\u53f0\u5df2\u88ab\u8d8a\u6765\u8d8a\u591a\u5730\u7528\u4e8e\u901a\u8fc7\u534f\u4f5c\u6765\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002\u4e3a\u4e86\u6539\u5584\u5728\u8fd9\u4e9b\u5e73\u53f0\u4e0a\u7684\u7528\u6237\u4f53\u9a8c\uff0c\u5e0c\u671b\u6709\u4e00\u4e2a\u63a8\u8350\u7cfb\u7edf\uff0c\u8be5\u7cfb\u7edf\u4e0d\u4ec5\u53ef\u4ee5\u5411\u7528\u6237\u5efa\u8bae\u9879\u76ee\uff08\u4f8b\u5982GitHub\u5b58\u50a8\u5e93\uff09\uff0c\u800c\u4e14\u8fd8\u53ef\u4ee5\u5bf9\u5efa\u8bae\u9879\u76ee\u6267\u884c\u7684\u6d3b\u52a8\uff08\u4f8b\u5982\u5206\u53c9\u5b58\u50a8\u5e93\uff09 \u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u79f0\u4e3aKeen2Act\u7684\u65b0\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u5c06\u63a8\u8350\u95ee\u9898\u5206\u89e3\u4e3a\u4e24\u4e2a\u9636\u6bb5\uff1aKeen\u548cAct\u6b65\u9aa4\u3002\u654f\u9510\u6b65\u9aa4\u4e3a\u7ed9\u5b9a\u7684\u7528\u6237\u6807\u8bc6\u4e86\u4ed6\/\u5979\u53ef\u80fd\u611f\u5174\u8da3\u7684\u9879\u76ee\uff08\u5b50\u96c6\uff09\u3002\u7136\u540e\uff0c\u201c\u64cd\u4f5c\u201d\u6b65\u9aa4\u5411\u7528\u6237\u5efa\u8bae\u5bf9\u6240\u6807\u8bc6\u7684\u9879\u76ee\u96c6\u6267\u884c\u54ea\u4e9b\u6d3b\u52a8\u3002\u8fd9\u79cd\u5206\u89e3\u4e3a\u5904\u7406\u590d\u6742\u7684\u6d3b\u52a8\u63a8\u8350\u4efb\u52a1\u63d0\u4f9b\u4e86\u4e00\u79cd\u5b9e\u7528\u7684\u65b9\u6cd5\uff0c\u540c\u65f6\u53c8\u53ef\u4ee5\u63d0\u9ad8\u63a8\u8350\u8d28\u91cf\u3002\u6211\u4eec\u4f7f\u7528\u4e24\u4e2a\u73b0\u5b9e\u4e16\u754c\u7684\u6570\u636e\u96c6\u8bc4\u4f30\u4e86\u6211\u4eec\u63d0\u51fa\u7684\u65b9\u6cd5\uff0c\u5e76\u83b7\u5f97\u4e86\u6709\u5e0c\u671b\u7684\u7ed3\u679c\uff0c\u5176\u4e2dKeen2Act\u7684\u8868\u73b0\u4f18\u4e8e\u51e0\u79cd\u57fa\u51c6\u6a21\u578b\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5e26\u7ebf\u6269\u5c55\u7684\u8d85\u56fe\u5b66\u4e60<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Hypergraph Learning with Line Expansion<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04843<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek Abdelzaher<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5148\u524d\u7684\u8d85\u56fe\u6269\u5c55\u4ec5\u5728\u9876\u70b9\u7ea7\u522b\u6216\u8d85\u8fb9\u7ea7\u522b\u4e0a\u6267\u884c\uff0c\u56e0\u6b64\u7f3a\u5c11\u6570\u636e\u5171\u73b0\u7684\u5bf9\u79f0\u6027\uff0c\u5e76\u5bfc\u81f4\u4fe1\u606f\u4e22\u5931\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u672c\u6587\u5c06\u9876\u70b9\u548c\u8d85\u8fb9\u540c\u7b49\u5bf9\u5f85\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u8d85\u56fe\u516c\u5f0f\uff0c\u79f0\u4e3a emph \u7ebf\u6269\u5c55\uff08LE\uff09\uff0c\u7528\u4e8e\u8d85\u56fe\u5b66\u4e60\u3002\u901a\u8fc7\u5c06\u9876\u70b9-\u8d85\u8fb9\u5bf9\u89c6\u4e3a\u201c\u7ebf\u8282\u70b9\u201d\uff0c\u65b0\u7684\u6269\u5c55\u53cc\u5c04\u5730\u4ece\u8d85\u56fe\u4e0a\u8bf1\u5bfc\u51fa\u540c\u8d28\u7ed3\u6784\u3002\u901a\u8fc7\u5c06\u8d85\u56fe\u7b80\u5316\u4e3a\u7b80\u5355\u56fe\uff0c\u6240\u63d0\u51fa\u7684 emph line\u5c55\u5f00\u4f7f\u73b0\u6709\u7684\u56fe\u5b66\u4e60\u7b97\u6cd5\u4e0e\u9ad8\u9636\u7ed3\u6784\u517c\u5bb9\uff0c\u5e76\u5df2\u88ab\u8bc1\u660e\u662f\u5404\u79cd\u8d85\u56fe\u6269\u5c55\u7684\u7edf\u4e00\u6846\u67b6\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u56fe\uff0c\u6211\u4eec\u8bc1\u660e\u4e86 emph LE\u4e0a\u5b9a\u4e49\u7684\u5b66\u4e60\u7b97\u6cd5\u4e0e\u5b83\u4eec\u5728\u539f\u59cb\u56fe\u4e0a\u7684\u6027\u80fd\u76f8\u5173\uff0c\u8fd9\u610f\u5473\u7740\u5728\u6269\u5c55\u4e2d\u4e0d\u4f1a\u53d1\u751f\u4fe1\u606f\u4e22\u5931\u3002\u5bf9\u4e8e\u8d85\u56fe\uff0c\u6211\u4eec\u8868\u660e\u5bf9\u65b0\u8868\u793a\u7684\u5b66\u4e60\u5bfc\u81f4\u7b97\u6cd5\u8d85\u8d8a\u4e86\u6240\u6709\u73b0\u6709\u7684\u6700\u65b0\u8d85\u56fe\u5b66\u4e60\u57fa\u7ebf\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5177\u6709\u53cc\u5411\u9608\u503c\u7684\u610f\u89c1\u52a8\u6001<\/strong><\/span><\/p>\n

    \u4e2d\u7684\u5171\u8bc6\u3001\u4e24\u6781\u5316\u548c\u591a\u6837\u6027<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Consensus, Bi-polarization and Multiformity in Opinion Dynamics with Bidirectional Thresholds<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.04948<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Shuo Liu, Xiwang Guan, Shuangling Luo, Haoxiang Xia<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8bb8\u591a\u7ecf\u9a8c\u7f51\u7edc\u672c\u8d28\u4e0a\u662f\u591a\u5143\u5316\u7684\uff0c\u76f8\u4e92\u4f5c\u7528\u53d1\u751f\u5728\u4efb\u610f\u4e3b\u4f53\u7684\u7fa4\u4f53\u5185\u3002\u7136\u540e\uff0c\u7f51\u7edc\u4e2d\u7684\u4e3b\u4f53\u53ef\u80fd\u4f1a\u53d7\u5230\u90bb\u5c45\u7c7b\u578b\u7684\u5f71\u54cd\uff0c\u5e38\u89c1\u793a\u4f8b\u5305\u62ec\u76f8\u4f3c\u6027\uff0c\u5bf9\u7acb\u6027\u548c\u53ef\u5ffd\u7565\u6027\u3002\u5c3d\u7ba1\u53ef\u4ee5\u5c06\u90bb\u5c45\u7684\u5f71\u54cd\u51c6\u786e\u5730\u63cf\u8ff0\u4e3a\u590d\u6742\u7684\u73b0\u5b9e\u4e16\u754c\u7cfb\u7edf\u4e2d\u7684\u53cb\u597d\u548c\u5bf9\u7acb\u5173\u7cfb\uff0c\u5e76\u4e14\u5bf9\u5177\u6709\u4e0d\u540c\u5f71\u54cd\u7c7b\u578b\u7684\u8206\u8bba\u6f14\u53d8\u7684\u52a8\u6001\u8fc7\u7a0b\u8fdb\u884c\u7814\u7a76\u662f\u6709\u4ef7\u503c\u7684\uff0c\u4f46\u5f88\u5c11\u6709\u7814\u7a76\u63d0\u5230\u8be5\u95ee\u9898\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u79cd\u5177\u6709\u53cc\u5411\u6709\u754c\u9608\u503c\u7684\u667a\u80fd\u4f53\u7f51\u7edc\u6a21\u578b\uff0c\u7528\u4e8e\u7814\u7a76\u89c2\u70b9\u52a8\u6001\u7684\u6f14\u53d8\u3002\u6211\u4eec\u5b9a\u4e49\u4e2a\u4f53\u540c\u5316\u548c\u6392\u65a5\u7684\u8303\u56f4\uff0c\u4ee5\u8bc6\u522b\u4e0d\u540c\u7c7b\u578b\u7684\u90bb\u5c45\uff0c\u5e76\u901a\u8fc7\u8f6c\u6362\u610f\u89c1\u5dee\u5f02\u6765\u8ba1\u7b97\u76f8\u5e94\u90bb\u5c45\u5bf9\u4e2a\u4f53\u7684\u5f71\u54cd\u3002\u4eff\u771f\u7ed3\u679c\u8868\u660e\uff0c\u6240\u63d0\u51fa\u7684\u673a\u5236\u53ef\u4ee5\u6709\u6548\u5730\u89e3\u91ca\u610f\u89c1\u6f14\u53d8\u8fc7\u7a0b\u4e2d\u7684\u4e24\u6781\u5316\u73b0\u8c61\uff0c\u53cc\u5411\u6709\u754c\u9608\u503c\u7684\u8bbe\u7f6e\u5bf9\u610f\u89c1\u7684\u6700\u7ec8\u5206\u5e03\u6709\u5f88\u5927\u5f71\u54cd\u3002\u6b64\u5916\uff0c\u6211\u4eec\u63a2\u8ba8\u4e86\u521d\u59cb\u6761\u4ef6\u548c\u5c0f\u4e16\u754c\u7f51\u7edc\u7ed3\u6784\u5bf9\u89c2\u70b9\u6f14\u53d8\u7684\u5f71\u54cd\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u65f6\u95f4\u77e5\u8bc6\u5e93\u7684\u5b8c\u5584\uff1a<\/strong><\/span><\/p>\n

    \u65b0\u7b97\u6cd5\u548c\u8bc4\u4f30\u534f\u8bae<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

    \u539f\u6587\u6807\u9898\uff1a<\/strong><\/h3>\n

    Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols<\/span><\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.05035<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5f53\u5173\u7cfb\u6709\u6548\u65f6\uff0c\u65f6\u95f4\u77e5\u8bc6\u5e93\u5c06\u5173\u7cfb\uff08s\uff0cr\uff0co\uff09\u4e09\u5143\u7ec4\u4e0e\u4e00\u7ec4\u65f6\u95f4\uff08\u6216\u5355\u4e2a\u65f6\u523b\uff09\u76f8\u5173\u8054\u3002\u5c3d\u7ba1\u65f6\u95f4\u4e0d\u53ef\u77e5\u7684KB\u5b8c\u6210\uff08KBC\uff09\u5df2\u6709\u5927\u91cf\u7814\u7a76\uff0c\u4f46\u6682\u65f6\u6027\u7684KB\u5b8c\u6210\uff08TKBC\uff09\u5c1a\u5904\u4e8e\u521d\u671f\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u9884\u6d4b\u7f3a\u5931\u7684\u5b9e\u4f53\uff08\u94fe\u8def\u9884\u6d4b\uff09\u548c\u7f3a\u5931\u7684\u65f6\u95f4\u95f4\u9694\uff08\u65f6\u95f4\u9884\u6d4b\uff09\u89c6\u4e3a\u8054\u5408TKBC\u4efb\u52a1\uff0c\u5176\u4e2d\u5b9e\u4f53\uff0c\u5173\u7cfb\u548c\u65f6\u95f4\u90fd\u5d4c\u5165\u4e00\u4e2a\u7edf\u4e00\u7684\u517c\u5bb9\u7a7a\u95f4\u4e2d\u3002\u6211\u4eec\u4ecb\u7ecd\u4e86TIMEPLEX\uff0c\u8fd9\u662f\u4e00\u79cd\u65b0\u9896\u7684\u53ef\u611f\u77e5\u65f6\u95f4\u7684KBC\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u8fd8\u81ea\u52a8\u5229\u7528\u4e86\u67d0\u4e9b\u5173\u7cfb\u4ee5\u53ca\u5173\u7cfb\u5bf9\u4e4b\u95f4\u7684\u65f6\u95f4\u4ea4\u4e92\u4f5c\u7528\u7684\u5faa\u73af\u6027\u8d28\u3002TIMEPLEX\u5728\u8fd9\u4e24\u4e2a\u9884\u6d4b\u4efb\u52a1\u4e0a\u5747\u8fbe\u5230\u4e86\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002\u6211\u4eec\u8fd8\u53d1\u73b0\uff0c\u7531\u4e8e\u8bc4\u4f30\u673a\u5236\u4e0d\u5b8c\u5584\uff0c\u73b0\u6709\u7684TKBC\u6a21\u578b\u4e25\u91cd\u9ad8\u4f30\u4e86\u94fe\u8def\u9884\u6d4b\u6027\u80fd\u3002\u4f5c\u4e3a\u56de\u5e94\uff0c\u6211\u4eec\u9488\u5bf9\u94fe\u63a5\u548c\u65f6\u95f4\u9884\u6d4b\u4efb\u52a1\u63d0\u51fa\u4e86\u6539\u8fdb\u7684TKBC\u8bc4\u4f30\u534f\u8bae\uff0c\u5904\u7406\u4e86\u91d1\u5b9e\u4f8b\u548c\u7cfb\u7edf\u9884\u6d4b\u4e2d\u65f6\u95f4\u95f4\u9694\u7684\u90e8\u5206\u91cd\u53e0\u5f15\u8d77\u7684\u7ec6\u5fae\u95ee\u9898\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u6269\u6563\u9a71\u52a8\u7684\u4eba\u53e3\u7edf\u8ba1\u5b66\u2014\u2014<\/strong><\/span><\/p>\n

    \u56fe\u7075\u6591\u56fe\u4f5c\u4e3a\u5b9a\u5c45\u6d8c\u73b0\u7684\u6982\u5ff5<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Diffusion-driven demographics \u2014 Turing model as a concept for the emergence of sedentism<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.05107<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    John Friesen, Jakob Hartig, Katharina Henn, Peter F. Pelz<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u4e45\u5750\u662f\u4eba\u7c7b\u5386\u53f2\u4e0a\u7684\u51b3\u5b9a\u6027\u65f6\u523b\u3002\u51ef\uff08Kay\uff09\u548c\u5361\u666e\u5170\uff08Kaplan\uff09\u5728\u4e00\u7bc7\u8bc4\u8bba\u6587\u7ae0\u4e2d\u5bf9\u65e9\u671f\u4eba\u7c7b\u4f4f\u533a\u7684\u571f\u5730\u5229\u7528\u8fdb\u884c\u4e86\u91cf\u5316\uff0c\u53d1\u73b0\u4e45\u5750\u4e0e\u519c\u4e1a\u7684\u53d1\u5c55\u662f\u5bc6\u4e0d\u53ef\u5206\u7684\u3002\u5bf9\u4e8e\u8fd9\u4e9b\u5b9a\u5c45\u70b9\uff0c\u53ef\u4ee5\u786e\u5b9a\u4e24\u79cd\u4e3b\u8981\u7684\u571f\u5730\u5229\u7528\u7c7b\u522b\uff0c\u5373\u8015\u4f5c\u548c\u751f\u6d3b\uff0c\u800c\u5bf9\u4e8e\u730e\u4eba\u6536\u96c6\u8005\u793e\u4f1a\uff0c\u5219\u6ca1\u6709\u660e\u663e\u7684\u533a\u522b\u3002\u5728\u5b9a\u5c45\u8005\u548c\u519c\u6c11\u8fd9\u4e24\u4e2a\u4e0d\u540c\u7fa4\u4f53\u7684\u884c\u4e3a\u4e2d\u8fdb\u884c\u641c\u7d22\u662f\u5f88\u81ea\u7136\u7684\u3002\u4e24\u4e2a\u4e0d\u540c\u533a\u57df\u548c\u4e24\u7ec4\u7684\u53d1\u5c55\u4f7f\u6211\u4eec\u5f97\u51fa\u8fd9\u6837\u4e00\u4e2a\u5047\u8bbe\uff1a\u5b9a\u5c45\u70b9\u7684\u51fa\u73b0\u662f\u6269\u6563\u9a71\u52a8\u7684\u56fe\u7075\u4e0d\u7a33\u5b9a\u6027\u7684\u7ed3\u679c\u3002\u5728\u8fd9\u4efd\u7b80\u77ed\u7684\u901a\u8baf\u4e2d\uff0c\u6211\u4eec\u8fdb\u4e00\u6b65\u8bf4\u660e\u4e86\u8fd9\u4e00\u70b9\uff0c\u5e76\u8868\u660e\u8fd9\u5bfc\u81f4\u4e86\u5b9a\u671f\u7684\u5b89\u7f6e\u5b89\u6392\uff0c\u5c31\u50cf\u4eca\u5929\u5728\u519c\u4e1a\u5730\u533a\u4ecd\u7136\u53ef\u4ee5\u770b\u5230\u7684\u90a3\u6837\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    <\/p>\n


    <\/p>\n

    \n
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    \u80fd\u6e90\u9650\u5236\u5730\u7403\u4e0a\u7684\u56fd\u5185\u751f\u4ea7\u603b\u503c<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Energy Limits to the Gross Domestic Product on Earth<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.05244<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Andreas M. Hein, Jean-Baptiste Rudelle<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u4e00\u65e6\u5b9e\u73b0\u4e86\u78b3\u6392\u653e\u4e2d\u7acb\u548c\u5176\u4ed6\u53ef\u6301\u7eed\u6027\u76ee\u6807\uff0c\u4e00\u4e2a\u5e7f\u6cdb\u7684\u5047\u8bbe\u662f\uff0c\u4ee5\u5f53\u524d\u7684\u901f\u5ea6\u589e\u957f\u7684\u7ecf\u6d4e\u53ef\u4ee5\u4fdd\u6301\u523021\u4e16\u7eaa\u4e4b\u540e\u3002\u4f46\u662f\uff0c\u5373\u4f7f\u6211\u4eec\u5b9e\u73b0\u4e86\u8fd9\u4e9b\u76ee\u6807\uff0c\u672c\u6587\u4e5f\u8868\u660e\uff0c\u4ec5\u7531\u4e8e\u80fd\u6e90\u548c\u70ed\u529b\u5b66\u56e0\u7d20\uff0c\u5730\u7403\u5168\u7403\u7ecf\u6d4e\u7684\u6574\u4f53\u89c4\u6a21\u4ecd\u9762\u4e34\u7740\u4e0a\u9650\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u5c06\u5168\u7403\u53d8\u6696\u5206\u89e3\u4e3a\u4e24\u4e2a\u90e8\u5206\uff1a\u6e29\u5ba4\u6c14\u4f53\u6548\u5e94\u548c\u4e0e\u7ecf\u6d4e\u6d3b\u52a8\u6709\u5173\u7684\u80fd\u6e90\u6d88\u8017\u6240\u4ea7\u751f\u7684\u70ed\u8017\u6563\u3002\u5bf9\u4e8e\u7531\u4e8e\u6e29\u5ba4\u6c14\u4f53\u6392\u653e\u5f15\u8d77\u7684\u6e29\u5ea6\u5347\u9ad8\uff0c\u6211\u4eec\u5c062  deg\u548c5  deg C\u4f5c\u4e3a\u6211\u4eec\u7684\u4e0a\u4e0b\u9650\u3002\u5bf9\u4e8e\u4e0e\u80fd\u6e90\u6d88\u8017\u76f8\u5173\u7684\u6563\u70ed\u7684\u5347\u6e29\u6548\u5e94\uff0c\u6211\u4eec\u4f7f\u7528\u7b80\u5316\u7684\u6a21\u578b\u8fdb\u884c\u5168\u7403\u5347\u6e29\uff0c\u5e76\u5bf9\u5168\u7403\u56fd\u5185\u751f\u4ea7\u603b\u503c\uff08GDP\uff09\u4e0e\u4e00\u6b21\u80fd\u6e90\u751f\u4ea7\u4e4b\u95f4\u7684\u5386\u53f2\u76f8\u5173\u6027\u8fdb\u884c\u63a8\u65ad\u3002\u7ed3\u5408\u8fd9\u4e24\u79cd\u5f71\u54cd\uff0c\u6211\u4eec\u5c06\u53ef\u63a5\u53d7\u7684\u5168\u7403\u53d8\u6696\u6e29\u5ea6\u6781\u9650\u8bbe\u7f6e\u4e3a\u6bd4\u5de5\u4e1a\u5316\u524d\u6c34\u5e73\u9ad87 C\u3002\u6211\u4eec\u57fa\u4e8e\u5927\u89c4\u6a21\u90e8\u7f72\u78b3\u4e2d\u548c\u80fd\u6e90\u7684\u53ef\u884c\u6027\uff0c\u5f00\u53d1\u4e86\u56db\u79cd\u65b9\u6848\u3002\u6211\u4eec\u7684\u7ed3\u679c\u8868\u660e\uff0c\u5373\u4f7f\u5e74\u5747GDP\u589e\u957f2\uff05\uff0c\u6700\u591a\u4e5f\u8981\u5728\u51e0\u4e2a\u4e16\u7eaa\u5185\u8fbe\u5230\u4e0a\u9650\uff0c\u5373\u4f7f\u5728\u5927\u89c4\u6a21\u90e8\u7f72\u878d\u5408\u80fd\u6e90\u7b49\u65b0\u80fd\u6e90\u7684\u6709\u5229\u65b9\u6848\u4e2d\u4e5f\u662f\u5982\u6b64\u3002\u6211\u4eec\u5f97\u51fa\u7684\u7ed3\u8bba\u662f\uff0c\u9664\u975eGDP\u53ef\u4ee5\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u4e0e\u80fd\u6e90\u6d88\u8017\u8131\u94a9\uff0c\u5426\u5219\u70ed\u529b\u5b66\u5c06\u5bf9\u5730\u7403\u7ecf\u6d4e\u7684\u89c4\u6a21\u65bd\u52a0\u786c\u6027\u9650\u5236\u3002\u8fdb\u4e00\u6b65\u7684\u7ecf\u6d4e\u589e\u957f\u5fc5\u7136\u9700\u8981\u5c06\u7ecf\u6d4e\u6d3b\u52a8\u6269\u5927\u5230\u592a\u7a7a\u3002<\/span><\/section>\n

    <\/span><\/section>\n
    \n
    \n
    \u6765\u6e90\uff1a\u7f51\u7edc\u79d1\u5b66\u7814\u7a76\u901f\u9012<\/section>\n
    \u7f16\u8f91\uff1a\u5f20\u723d
    <\/section>\n<\/section>\n<\/blockquote>\n

    <\/section>\n
    \n

    \u58f0\u660e\uff1aArxiv\u6587\u7ae0\u6458\u8981\u7248\u6743\u5f52\u8bba\u6587\u539f\u4f5c\u8005\u6240\u6709\uff0c\u7531\u672c\u4eba\u8fdb\u884c\u7ffb\u8bd1\u6574\u7406\uff0c\u672a\u7ecf\u540c\u610f\u8bf7\u52ff\u968f\u610f\u8f6c\u8f7d\u3002\u672c\u7cfb\u5217\u5728\u5fae\u4fe1\u516c\u4f17\u53f7\u201c\u7f51\u7edc\u79d1\u5b66\u7814\u7a76\u901f\u9012\u201d\uff08\u5fae\u4fe1\u53f7netsci\uff09\u548c\u4e2a\u4eba\u535a\u5ba2 https:\/\/www.complexly.me \uff08\u63d0\u4f9bRSS\u8ba2\u9605\uff09\u8fdb\u884c\u540c\u6b65\u66f4\u65b0\u3002<\/p>\n<\/blockquote>\n


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    \u8fd1\u671f\u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u9012<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

    \u56fe\u4e0a\u7684\u673a\u5668\u5b66\u4e60\uff1a\u6a21\u578b\u548c\u7efc\u5408\u5206\u7c7b\u6cd5 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901214\u7bc7<\/a>
    <\/p>\n

    \u4f7f\u7528\u4eba\u7c7b\u79fb\u52a8\u6570\u636e\u91cf\u5316COVID-19\u5728\u4e2d\u56fd\u5927\u9646\u7684\u7ecf\u6d4e\u5f71\u54cd | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901218\u7bc7<\/a>
    <\/p>\n

    \u5229\u7528\u591c\u5149\u548c\u7a7a\u6c14\u6570\u636e\u6d4b\u7b97COVID-19\u5bf9\u4e2d\u56fd\u4eba\u53e3\u6d3b\u52a8\u7684\u5f71\u54cd | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901216\u7bc7<\/a>
    <\/p>\n

    \u5f31\u5173\u7cfb\u52a0\u5267\u4e86\u793e\u4ea4\u5a92\u4f53\u4e2d\u7684\u6124\u6012\u60c5\u7eea\u8513\u5ef6 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901215\u7bc7<\/a>
    <\/p>\n

    \u63d0\u524d\u91c7\u53d6\u9488\u5bf9COVID-19\u7684\u904f\u5236\u63aa\u65bd\u7684\u51b3\u5b9a\u6709\u591a\u91cd\u8981\uff1f| \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901221\u7bc7<\/a><\/p>\n

    \u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/a>
    <\/p>\n

    <\/strong><\/h3>\n

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    \u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n

    \u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
    <\/span><\/strong><\/p>\n

    \n

    \u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n

    \u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


    <\/p>\n

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    \n

    <\/p>\n<\/section>\n

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