{"id":19827,"date":"2020-05-30T18:28:39","date_gmt":"2020-05-30T10:28:39","guid":{"rendered":"https:\/\/swarma.org\/?p=19827"},"modified":"2020-05-30T18:28:39","modified_gmt":"2020-05-30T10:28:39","slug":"%e4%bc%b0%e8%ae%a1covid-19%e5%a4%a7%e6%b5%81%e8%a1%8c%e4%b8%ad%e7%9a%84%e6%84%9f%e6%9f%93%e7%97%85%e4%be%8b%e6%95%b0-%e7%bd%91%e7%bb%9c%e7%a7%91%e5%ad%a6%e8%ae%ba%e6%96%87%e9%80%9f%e9%80%9214","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=19827","title":{"rendered":"\u4f30\u8ba1COVID-19\u5927\u6d41\u884c\u4e2d\u7684\u611f\u67d3\u75c5\u4f8b\u6570 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901214\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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\u6838\u5fc3\u901f\u9012<\/span><\/section>\n

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  • \n
    \u4f30\u8ba1COVID-19\u5927\u6d41\u884c\u4e2d\u7684\u611f\u67d3\u75c5\u4f8b\u6570;<\/span><\/section>\n<\/li>\n
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    \u5728\u65af\u6d1b\u6587\u5c3c\u4e9a\u793e\u4f1a\u7f51\u7edc\u4e0a\u6a21\u62dfCOVID-19\u5927\u6d41\u884c\uff1a\u4f30\u8ba1\u9884\u6d4b\u5185\u751f\u4e0d\u786e\u5b9a\u6027;<\/span><\/section>\n<\/li>\n
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    \u75ab\u60c5\u65b0\u95fb\uff1a\u4e3b\u6d41\u65b0\u95fb\u5a92\u4f53\u7684Facebook\u4e13\u9898\u9875\u9762\u548c\u51a0\u72b6\u75c5\u6bd2\u5371\u673a-\u8ba1\u7b97\u5185\u5bb9\u5206\u6790;<\/span><\/section>\n<\/li>\n
  • \n
    \u745e\u5178SARS-CoV-2\u611f\u67d3\u8005\u7684\u6bd4\u4f8b\u4f30\u8ba1;<\/span><\/section>\n<\/li>\n
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    \u5927\u89c4\u6a21\u53bb\u504f\u5019\u9009\u751f\u6210\u7684\u5bf9\u6bd4\u5b66\u4e60;<\/span><\/section>\n<\/li>\n
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    \u65e0\u7f1d\u7edf\u4e00\u5c5e\u6027\u548c\u9879\u76ee\uff1a\u51b7\u542f\u52a8\u7528\u6237\u7684\u4f1a\u8bdd\u5efa\u8bae;<\/span><\/section>\n<\/li>\n
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    \u53ef\u89e3\u91ca\u7684\u9ad8\u6548\u5f02\u6784\u56fe\u5377\u79ef\u7f51\u7edc;<\/span><\/section>\n<\/li>\n
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    \u4eba\u7c7b\u90bb\u8fd1\u7f51\u7edc\u7684\u53cc\u66f2\u6620\u5c04;<\/span><\/section>\n<\/li>\n
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    \u4e0d\u65ad\u6f14\u5316\u7684\u79d1\u5b66\u7f51\u7edc\u7684\u7ed3\u6784\u52a8\u529b\u5b66;<\/span><\/section>\n<\/li>\n
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    \u590d\u6742\u7f51\u7edc\u7684\u51e0\u4f55\u540c\u4f59\u548c\u6709\u6548\u8d2a\u5a6a\u53ef\u5bfc\u822a\u6027;<\/span><\/section>\n<\/li>\n
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    \u7f51\u7edc\u5206\u6790\u6cd5\u68c0\u6d4b\u865a\u5047\u4fe1\u606f\u6d3b\u52a8;<\/span><\/section>\n<\/li>\n
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    \u7528\u4e8eTwitter\u4e0a\u7684\u8206\u8bba\u9884\u6d4b\u7684\u795e\u7ecf\u65f6\u6001\u8206\u8bba\u5efa\u6a21;<\/span><\/section>\n<\/li>\n
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  • \n
    NARMADA\uff1a\u707e\u96be\u548c\u9006\u5883\u7684\u9700\u6c42\u548c\u53ef\u7528\u8d44\u6e90\u7ba1\u7406\u52a9\u7406;<\/span><\/section>\n<\/li>\n<\/ul>\n


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    \u4f30\u8ba1COVID-19\u5927\u6d41\u884c\u4e2d\u7684\u611f\u67d3\u75c5\u4f8b\u6570<\/strong><\/span><\/strong><\/p>\n

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


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

    Estimating the Number of Infected Cases in COVID-19 Pandemic<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.12993<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Donghui Yan, Ying Xu, Pei Wang<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>COVID-19\u5927\u6d41\u884c\u5bf9\u4eba\u7c7b\u751f\u6d3b\u9020\u6210\u4e86\u91cd\u5927\u5e72\u6270\u3002\u5e7f\u6cdb\u7684\u793e\u4f1a\u7126\u8651\u80cc\u540e\u7684\u4e00\u4e2a\u91cd\u8981\u539f\u56e0\u662f\u5173\u4e8e\u5927\u6d41\u884c\u7684\u5de8\u5927\u4e0d\u786e\u5b9a\u6027\u3002\u4e00\u4e2a\u4e3b\u8981\u7684\u4e0d\u786e\u5b9a\u56e0\u7d20\u662f\u611f\u67d3\u4e86\u591a\u5c11\u4eba\u6216\u767e\u5206\u6bd4\u7684\u4eba\uff1f\u5728\u5730\u65b9\uff0c\u56fd\u5bb6\u6216\u5168\u7403\u8303\u56f4\u5185\u5df2\u53d1\u5e03\u5e76\u7ecf\u5e38\u66f4\u65b0\u6709\u5173\u5927\u6d41\u884c\u7684\u5404\u79cd\u7edf\u8ba1\u6570\u636e\u3002\u4f46\u662f\uff0c\u7531\u4e8e\u79cd\u79cd\u539f\u56e0\uff0c\u8fd9\u4e9b\u62a5\u544a\u7684\u6570\u5b57\u4e2d\u672a\u5305\u62ec\u8bb8\u591a\u6848\u4ef6\u3002<\/span>\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u7ed3\u6784\u5316\u7684\u65b9\u6cd5\u6765\u4f30\u8ba1\u672a\u62a5\u544a\u75c5\u4f8b\u7684\u6570\u91cf\uff0c\u5176\u4e2d\u6211\u4eec\u533a\u5206\u4e86\u62a5\u544a\u75c5\u4f8b\u4e2d\u8fdf\u5230\u7684\u75c5\u4f8b\u4ee5\u53ca\u75c7\u72b6\u8f83\u8f7b\u6216\u6ca1\u6709\u75c7\u72b6\u7684\u75c5\u4f8b\uff0c\u56e0\u6b64\u6839\u672c\u6ca1\u6709\u88ab\u4efb\u4f55\u533b\u7597\u7cfb\u7edf\u6355\u83b7\u3002<\/span>\u6211\u4eec\u5c06\u62a5\u544a\u540e\u7684\u6570\u636e\u7528\u4e8e\u524d\u8005\u7684\u4f30\u7b97\u4ee5\u53ca\u4e0e\u540e\u8005\u7684\u4eba\u53e3\u5339\u914d\u3002<\/span>\u6211\u4eec\u4f30\u8ba1\uff0c\u622a\u81f32020\u5e744\u670820\u65e5\uff0c\u5e94\u901a\u8fc7\u4e58\u4ee5220.54\uff05\u7684\u7cfb\u6570\u6765\u7ea0\u6b63\u7f8e\u56fd\u62a5\u544a\u7684\u611f\u67d3\u75c5\u4f8b\u6570\u3002<\/span>\u7f8e\u56fd\u4eba\u53e3\u4e2d\u7684\u611f\u67d3\u7387\u4f30\u8ba1\u4e3a0.53\uff05\uff0c\u8fd9\u610f\u5473\u7740\u8be5\u75c5\u7684\u6b7b\u4ea1\u7387\u4e3a2.85<\/span>\uff05\uff0c\u63a5\u8fd1\u4e16\u754c\u536b\u751f\u7ec4\u7ec7\u5efa\u8bae\u76843.4\uff05\u3002<\/span><\/section>\n


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    \u5728\u65af\u6d1b\u6587\u5c3c\u4e9a\u793e\u4f1a\u7f51\u7edc\u4e0a<\/strong><\/span><\/p>\n

    \u6a21\u62dfCOVID-19\u5927\u6d41\u884c\uff1a<\/strong><\/span><\/p>\n

    \u4f30\u8ba1\u9884\u6d4b\u5185\u751f\u4e0d\u786e\u5b9a\u6027<\/strong><\/span><\/strong><\/p>\n

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

    Simulation of the COVID-19 pandemic on the social network of Slovenia: estimating the intrinsic forecast uncertainty<\/span>
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    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13282<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Ziga Zaplotnik, Aleksandar Gavric, Luka Medic<\/span><\/section>\n

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    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u672c\u6587\u4e2d\uff0c\u75c5\u6bd2\u4f20\u64ad\u6a21\u578b\u662f\u5728\u7b80\u5316\u7684\u793e\u4f1a\u7f51\u7edc\u4e0a\u6784\u5efa\u7684\u3002\u8be5\u793e\u4f1a\u7f51\u7edc\u7531\u8d85\u8fc7200\u4e07\u4e2a\u8282\u70b9\u7ec4\u6210\uff0c\u6bcf\u4e2a\u8282\u70b9\u4ee3\u8868\u65af\u6d1b\u6587\u5c3c\u4e9a\u7684\u5c45\u6c11\u3002\u8fd9\u4e9b\u8282\u70b9\u6839\u636e\u5b9e\u9645\u7684\u5bb6\u5ead\u548c\u517b\u8001\u4e2d\u5fc3\u7684\u5206\u5e03\u8fdb\u884c\u7ec4\u7ec7\u548c\u4e92\u8fde\uff0c\u800c\u5b83\u4eec\u5728\u8fd9\u4e9b\u96c6\u7fa4\u5916\u90e8\u7684\u8fde\u63a5\u5219\u662f\u534a\u968f\u673a\u5206\u5e03\u548c\u5b8c\u5168\u94fe\u63a5\u7684\u3002\u75c5\u6bd2\u4f20\u64ad\u6a21\u578b\u4e0e\u75be\u75c5\u8fdb\u5c55\u6a21\u578b\u8026\u5408\u3002\u5177\u6709\u6270\u52a8\u7684\u4f20\u64ad\u548c\u75be\u75c5\u53c2\u6570\u7684\u96c6\u6210\u65b9\u6cd5\u7528\u4e8e\u91cf\u5316\u96c6\u6210\u4f20\u64ad\uff0c\u8fd9\u662f\u9884\u6d4b\u4e0d\u786e\u5b9a\u6027\u7684\u4e3b\u4f53\u3002\u5c06\u65af\u6d1b\u6587\u5c3c\u4e9a\u76ee\u524d\u5bf9COVID-19\u6d41\u884c\u75c5\u7684\u6301\u7eed\u9884\u6d4b\u4e0e\u6240\u6536\u96c6\u7684\u65af\u6d1b\u6587\u5c3c\u4e9a\u6570\u636e\u8fdb\u884c\u6bd4\u8f83\u3002\u7ed3\u679c\u8868\u660e\uff0c\u76ee\u524d\u5728\u5bb6\u5ead\/\u517b\u8001\u9662\u5185\u90e8\u4f20\u64ad\u7684\u53ef\u80fd\u6027\u662f\u5728\u5bb6\u5ead\u4e4b\u5916\u7684\u4e24\u500d\u3002\u6211\u4eec\u4f7f\u7528\u4e00\u7ec4\u6a21\u62df\uff08N = 1000\uff09\u6765\u53cd\u6f14\u83b7\u5f97\u6a21\u578b\u53c2\u6570\u7684\u540e\u9a8c\u5206\u5e03\uff0c\u5e76\u4f30\u8ba1COVID-19\u9884\u6d4b\u7684\u4e0d\u786e\u5b9a\u6027\u3002\u6211\u4eec\u53d1\u73b0\u5728\u4e0d\u53d7\u63a7\u5236\u7684\u6d41\u884c\u4e2d\uff0c\u5185\u5728\u7684\u4e0d\u786e\u5b9a\u6027\u4e3b\u8981\u6e90\u4e8e\u75c5\u6bd2\u751f\u7269\u5b66\u7684\u4e0d\u786e\u5b9a\u6027\uff0c\u5373\u5176\u7e41\u6b96\u6570\u91cf\u3002\u5728\u611f\u67d3\u4eba\u53e3\u6bd4\u4f8b\u8f83\u4f4e\u7684\u53d7\u63a7\u6d41\u884c\u75c5\u4e2d\uff0c\u793e\u4f1a\u7f51\u7edc\u7684\u968f\u673a\u6027\u6210\u4e3a\u9884\u6d4b\u4e0d\u786e\u5b9a\u6027\u7684\u4e3b\u8981\u6765\u6e90\uff0c\u5c24\u5176\u662f\u5bf9\u4e8e\u77ed\u671f\u9884\u6d4b\u800c\u8a00\u3002\u56e0\u6b64\uff0c\u57fa\u4e8e\u793e\u4f1a\u7f51\u7edc\u7684\u6a21\u578b\u5bf9\u4e8e\u6539\u5584\u6d41\u884c\u75c5\u9884\u6d4b\u81f3\u5173\u91cd\u8981\u3002<\/span><\/section>\n


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    \u75ab\u60c5\u65b0\u95fb\uff1a<\/strong><\/span><\/p>\n

    \u4e3b\u6d41\u65b0\u95fb\u5a92\u4f53\u7684Facebook\u4e13\u9898<\/strong><\/span><\/p>\n

    \u9875\u9762\u548c\u51a0\u72b6\u75c5\u6bd2\u5371\u673a-\u8ba1\u7b97\u5185\u5bb9\u5206\u6790<\/strong><\/span><\/strong><\/p>\n

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

    Pandemic News: Facebook Pages of Mainstream News Media and the Coronavirus Crisis \u2014 A Computational Content Analysis<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13290<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong> <\/span><\/section>\n
    Thorsten Quand, Svenja Boberg, Tim Schatto-Eckrodt, Lena Frischlich<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5bf9\u4e8e\u5168\u7403\u65b0\u95fb\u5a92\u4f53\u800c\u8a00\uff0cCOVID-19\u5927\u6d41\u884c\u7684\u8513\u5ef6\u4e00\u76f4\u662f\u524d\u6240\u672a\u6709\u7684\u6311\u6218\u3002\u5c3d\u7ba1\u65b0\u95fb\u4e1a\u672c\u6765\u662f\u8981\u901a\u8fc7\u8bbe\u8ba1\u6765\u5904\u7406\u672a\u77e5\u4e8b\u4ef6\uff0c\u4f46\u52a8\u6001\u53d1\u5c55\u7684\u5f62\u52bf\u5374\u4ee5\u6df1\u523b\u7684\u65b9\u5f0f\u5f71\u54cd\u7740\u751f\u6d3b\u7684\u5404\u4e2a\u65b9\u9762\uff0c\u751a\u81f3\u5371\u673a\u62a5\u544a\u7684\u5e38\u89c4\u7a0b\u5e8f\u4f3c\u4e4e\u4e5f\u4e0d\u591f\u7528\u3002\u8bc4\u8bba\u5bb6\u6307\u51fa\uff0c\u8d5b\u9a6c\u62a5\u9053\u8d8b\u5411\u4e8e\u4e0d\u52a0\u6279\u8bc4\uff0c\u65b0\u95fb\u62a5\u9053\u8fc7\u4e8e\u63a5\u8fd1\u5b98\u65b9\u58f0\u660e\uff0c\u5bf9\u653f\u6cbb\u51b3\u5b9a\u4e5f\u6301\u80af\u5b9a\u6001\u5ea6\u3002\u4f46\u662f\uff0c\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u8fd8\u7f3a\u4e4f\u6709\u5173\u5371\u673a\u671f\u95f4\u65b0\u95fb\u5a92\u4f53\u8868\u73b0\u7684\u7ecf\u9a8c\u6570\u636e\u3002\u672c\u7814\u7a76\u57fa\u4e8e2020\u5e741\u6708\u81f32020\u5e743\u6708\u7684\u5927\u91cf\u5fb7\u56fd\u6570\u636e\uff0c\u5206\u6790\u4e86\u5728\u51a0\u72b6\u75c5\u6bd2\u5371\u673a\u521d\u671f\u7684\u65b0\u95fb\u5a92\u4f53\u7684Facebook\u6d88\u606f\u3002\u4f7f\u7528\u8ba1\u7b97\u5185\u5bb9\u5206\u6790\u65b9\u6cd5\uff0c\u8986\u76d6\u7387\u548c\u4ea4\u4e92\u4f5c\u7528\uff0c\u4e3b\u9898\u7ed3\u6784\uff0c\u76f8\u5173\u89d2\u8272\uff0c\u6d88\u606f\u5426\u5b9a\u6027\uff0c\u4ee5\u53ca\u865a\u5047\u65b0\u95fb\u548c\u9634\u8c0b\u7406\u8bba\u7684\u8986\u76d6\u8303\u56f4\u8fdb\u884c\u4e86\u68c0\u67e5\u3002\u5728\u5371\u673a\u7684\u5404\u4e2a\u9636\u6bb5\uff0c\u8fd1\u671fFacebook\u62a5\u9053\u7684\u4e3b\u9898\u7ed3\u6784\u53d1\u751f\u4e86\u53d8\u5316\uff0c\u53ea\u662f\u90e8\u5206\u652f\u6301\u4e86\u6279\u8bc4\u5bb6\u7684\u4e3b\u5f20\u3002\u521d\u59cb\u9636\u6bb5\u7684\u8bdd\u9898\u5e7f\u5ea6\u6709\u6240\u6b20\u7f3a\uff0c\u4f46\u540e\u671f\u9636\u6bb5\u5219\u6db5\u76d6\u4e86\u6709\u5173\u7535\u6655\u76f8\u5173\u95ee\u9898\u548c\u793e\u4f1a\u5173\u6ce8\u7684\u5e7f\u6cdb\u8bdd\u9898\u3002\u6b64\u5916\uff0c\u65b0\u95fb\u5a92\u4f53\u5728\u5371\u673a\u671f\u95f4\u62a5\u9053\u4e86\u865a\u5047\u65b0\u95fb\u548c\u9634\u8c0b\u8bba\uff0c\u4f46\u4ed6\u4eec\u59cb\u7ec8\u5c06\u5b83\u4eec\u89c6\u4e3a\u771f\u5b9e\u60c5\u51b5\uff0c\u5e76\u63ed\u7a7f\u4e86\u5728\u516c\u4f17\u4e2d\u6d41\u4f20\u7684\u865a\u5047\u8bf4\u6cd5\u3002\u5c3d\u7ba1\u5bf9\u5371\u673a\u671f\u95f4\u65b0\u95fb\u4e1a\u8868\u73b0\u7684\u4e00\u4e9b\u6279\u8bc4\u5f97\u5230\u4e86\u6e29\u548c\u7684\u7ecf\u9a8c\u652f\u6301\uff0c\u4f46\u8be5\u5206\u6790\u5e76\u672a\u53d1\u73b0\u7cfb\u7edf\u529f\u80fd\u5931\u8c03\u7684\u538b\u5012\u6027\u8ff9\u8c61\u3002\u603b\u4f53\u800c\u8a00\uff0c\u65b0\u95fb\u5a92\u4f53\u65e2\u6ca1\u6709\u505a\u51fa\u7edf\u4e00\u7684\u53cd\u5e94\uff0c\u4e5f\u6ca1\u6709\u51fa\u73b0\u8513\u5ef6\u7684\u3001\u4fe1\u606f\u532e\u4e4f\u7684\u5927\u6d41\u884c\u65b0\u95fb\uff0c\u4f46\u662f\u4ed6\u4eec\u4ee5\u591a\u89d2\u5ea6\u62a5\u9053\u4e86\u5371\u673a\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    \u745e\u5178SARS-CoV-2\u611f\u67d3\u8005\u7684\u6bd4\u4f8b\u4f30\u8ba1<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Estimates of the proportion of SARS-CoV-2 infected individuals in Sweden<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13519<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Henrik Hult, Martina Favero<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u7814\u7a76\u4e86\u8d1d\u53f6\u65afSEIR\u6a21\u578b\uff0c\u4ee5\u4f30\u8ba1\u611f\u67d3SARS-CoV-2\uff08\u8d1f\u8d23COVID-19\u7684\u75c5\u6bd2\uff09\u7684\u4eba\u53e3\u6bd4\u4f8b\u3002\u4e3a\u4e86\u6355\u83b7\u4eba\u53e3\u4e2d\u7684\u5f02\u8d28\u6027\u4ee5\u53ca\u91c7\u53d6\u5e72\u9884\u63aa\u65bd\u4ee5\u51cf\u5c11\u6d41\u884c\u75c5\u6269\u6563\u7684\u901f\u5ea6\uff0c\u8be5\u6a21\u578b\u4f7f\u7528\u4e86\u968f\u65f6\u95f4\u53d8\u5316\u7684\u63a5\u89e6\u7387\uff0c\u5176\u5bf9\u6570\u5148\u4e8e\u9ad8\u65af\u8fc7\u7a0b\u3002\u4f7f\u7528Poisson\u70b9\u8fc7\u7a0b\u5bf9\u56e0COVID-19\u9020\u6210\u7684\u6b7b\u4ea1\u7684\u53d1\u751f\u8fdb\u884c\u5efa\u6a21\uff0c\u5e76\u4f7f\u7528\u6bcf\u65e5\u6b7b\u4ea1\u8ba1\u6570\u6570\u636e\u548c3\u6708\u4e0b\u65ec\u5728\u65af\u5fb7\u54e5\u5c14\u6469\u8fdb\u884c\u7684\u611f\u67d3\u6d3b\u8dc3\u4e2a\u4f53\u7684\u6bd4\u4f8b\u5feb\u7167\u8fdb\u884c\u6821\u51c6\u3002\u8be5\u65b9\u6cd5\u9002\u7528\u4e8e\u745e\u5178\u5730\u533a\u3002\u7ed3\u679c\u8868\u660e\uff0c\u52302020\u5e745\u670815\u65e5\uff0c\u65af\u5fb7\u54e5\u5c14\u6469\u53d7\u611f\u67d3\u4eba\u53e3\u7684\u4f30\u8ba1\u6bd4\u4f8b\u7ea6\u4e3a13.5\uff05\uff0c\u5728\u5176\u4ed6\u8c03\u67e5\u533a\u57df\u4e2d\uff0c\u8fd9\u4e00\u6bd4\u4f8b\u57282.5\uff05\u81f315.6\uff05\u4e4b\u95f4\u3002\u5728\u65af\u5fb7\u54e5\u5c14\u6469\uff0c\u6bcf\u65e5\u6b7b\u4ea1\u4eba\u6570\u7684\u9ad8\u5cf0\u53ef\u80fd\u5df2\u7ecf\u8fc7\u53bb\uff0c\u53c2\u6570\u4e0d\u786e\u5b9a\u6027\u4e0d\u4f1a\u4e25\u91cd\u5f71\u54cd\u9884\u671f\u7684\u6bcf\u65e5\u6b7b\u4ea1\u4eba\u6570\u6216\u9884\u671f\u7684\u7d2f\u8ba1\u6b7b\u4ea1\u4eba\u6570\u3002\u4f46\u662f\uff0c\u5b83\u786e\u5b9e\u4f1a\u5f71\u54cd\u53d7\u611f\u67d3\u4e2a\u4f53\u7684\u4f30\u8ba1\u7d2f\u79ef\u6570\u91cf\u3002\u5728\u5176\u4ed6\u5730\u533a\uff0c\u65e0\u6cd5\u83b7\u5f97\u6d3b\u52a8\u611f\u67d3\u6570\u91cf\u7684\u968f\u673a\u6837\u672c\uff0c\u53ef\u4ee5\u4f7f\u7528\u53c2\u6570\u5171\u4eab\u6765\u6539\u5584\u4f30\u8ba1\u503c\uff0c\u4f46\u662f\u53c2\u6570\u4e0d\u786e\u5b9a\u6027\u4ecd\u7136\u5f88\u5927\u3002<\/span><\/section>\n


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    \u5927\u89c4\u6a21\u53bb\u504f\u5019\u9009\u751f\u6210\u7684\u5bf9\u6bd4\u5b66\u4e60<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Contrastive Learning for Debiased Candidate Generation at Scale<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.12964<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6df1\u5ea6\u5019\u9009\u751f\u6210\u5df2\u7ecf\u6210\u4e3a\u8bb8\u591a\u5de5\u4e1a\u641c\u7d22\uff0c\u63a8\u8350\u548c\u5e7f\u544a\u7cfb\u7edf\u4e2d\u8d8a\u6765\u8d8a\u53d7\u6b22\u8fce\u7684\u9009\u62e9\u3002\u968f\u7740\u8bed\u8a00\u5efa\u6a21\u793e\u533a\u7684\u53d1\u5c55\uff0c\u6807\u51c6\u7684\u6df1\u5c42\u5019\u9009\u751f\u6210\u6a21\u578b\u4f9d\u8d56\u4e8e\u590d\u6742\u7684\u91c7\u6837\u6280\u672f\u6765\u8fd1\u4f3c\u8fdb\u884c\u7528\u6237\u4e0e\u9879\u76ee\u4ea4\u4e92\u7684\u6700\u5927\u4f3c\u7136\u4f30\u8ba1\u3002\u7136\u800c\uff0c\u5c1a\u4e0d\u6e05\u695a\u8fd9\u4e9b\u91c7\u6837\u7b56\u7565\u662f\u5426\u662f\u63a8\u8350\u7cfb\u7edf\u4e2d\u5019\u9009\u751f\u6210\u7684\u6700\u4f73\u9009\u62e9\uff0c\u56e0\u4e3a\u6211\u4eec\u5728\u8bad\u7ec3\u6570\u636e\u4e2d\u9762\u4e34\u7740\u5de8\u5927\u7684\u5019\u9009\u96c6\u548c\u5404\u79cd\u7c7b\u578b\u7684\u4e30\u5bcc\u7279\u5f81\u7684\u4e25\u91cd\u9009\u62e9\u504f\u89c1\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86CLRec\uff0c\u4e00\u79cd\u7528\u4e8e\u63a8\u8350\u7cfb\u7edf\u4e2d\u5927\u89c4\u6a21\u5019\u9009\u4eba\u751f\u6210\u7684\u5bf9\u6bd4\u5b66\u4e60\u8303\u4f8b\u3002CLRec\u4f7f\u7528\u57fa\u4e8e\u961f\u5217\u7684\u7f13\u51b2\u533a\u5c06\u4ee5\u524d\u7684\u793a\u4f8b\u6216\u8868\u793a\u5f62\u5f0f\u4fdd\u5b58\u4e3a\u5426\u5b9a\u6807\u7b7e\uff0c\u5728\u5176\u4e2d\u4f18\u5316\u4e86\u5bf9\u6bd4\u635f\u5931\u3002\u8be5\u6846\u67b6\u53ef\u5b9e\u73b0\u66f4\u597d\u7684\u6027\u80fd\uff0c\u800c\u65e0\u9700\u663e\u5f0f\u91c7\u6837\uff0c\u4ece\u800c\u5728\u6807\u7b7e\u4fa7\u5bf9\u4e30\u5bcc\u7c7b\u578b\u7684\u7279\u5f81\u8fdb\u884c\u7f16\u7801\u65f6\u63d0\u4f9b\u4e86\u6781\u5927\u7684\u6548\u7387\u3002\u6211\u4eec\u5728\u7406\u8bba\u548c\u7ecf\u9a8c\u4e0a\u90fd\u5206\u6790\u4e86CLRec\u5b9e\u9645\u4e0a\u53ef\u4ee5\u51cf\u8f7b\u9009\u62e9\u504f\u89c1\uff0c\u4ece\u800c\u5bfc\u81f4\u66f4\u591a\u6837\u5316\u548c\u66f4\u516c\u5e73\u7684\u5efa\u8bae\u3002\u6211\u4eec\u5728\u6dd8\u5b9d\u4e0a\u90e8\u7f72\u4e86CLRec\uff0c\u5e76\u5728\u4ea4\u901a\u7e41\u5fd9\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u4e86\u5728\u7ebfA \/ B\u6d4b\u8bd5\uff0c\u663e\u793a\u51fa\u5728\u6027\u80fd\u548c\u6548\u7387\u4e0a\u90fd\u6709\u8f83\u5927\u5e45\u5ea6\u7684\u63d0\u9ad8\uff0c\u5e76\u4e14\u663e\u8457\u51cf\u5c11\u4e86\u201c\u81f4\u5bcc\u201d\u73b0\u8c61\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    \u65e0\u7f1d\u7edf\u4e00\u5c5e\u6027\u548c\u9879\u76ee\uff1a<\/strong><\/span><\/p>\n

    \u51b7\u542f\u52a8\u7528\u6237\u7684\u4f1a\u8bdd\u5efa\u8bae<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.12979<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8bf8\u5982\u534f\u4f5c\u8fc7\u6ee4\u4e4b\u7c7b\u7684\u9759\u6001\u63a8\u8350\u65b9\u6cd5\u53d7\u5236\u4e8e\u4e3a\u51b7\u542f\u52a8\u7528\u6237\u6267\u884c\u5b9e\u65f6\u4e2a\u6027\u5316\u8bbe\u7f6e\u7684\u56fa\u6709\u5c40\u9650\u6027\u3002\u5728\u7ebf\u63a8\u8350\uff08\u4f8b\u5982\uff0c\u591a\u81c2bandit\u65b9\u6cd5\uff09\u901a\u8fc7\u5728\u7ebf\u4e92\u52a8\u5730\u63a2\u7d22\u7528\u6237\u504f\u597d\u5e76\u8fdb\u884c\u63a2\u7d22-\u5f00\u53d1\uff08EE\uff09\u6743\u8861\u6765\u89e3\u51b3\u8fd9\u4e00\u9650\u5236\u3002\u4f46\u662f\uff0c\u73b0\u6709\u7684\u57fa\u4e8ebandit\u7684\u65b9\u6cd5\u5bf9\u63a8\u8350\u52a8\u4f5c\u8fdb\u884c\u4e86\u5747\u5300\u5efa\u6a21\u3002\u5177\u4f53\u5730\uff0c\u4ed6\u4eec\u4ec5\u5c06\u7269\u54c1\u89c6\u4e3a\u6b66\u5668\uff0c\u4e0d\u80fd\u5904\u7406\u7269\u54c1\u5c5e\u6027\uff0c\u81ea\u7136\u53ef\u4ee5\u63d0\u4f9b\u7528\u6237\u5f53\u524d\u9700\u6c42\u7684\u53ef\u89e3\u91ca\u4fe1\u606f\uff0c\u5e76\u53ef\u4ee5\u6709\u6548\u5730\u8fc7\u6ee4\u6389\u4e0d\u9700\u8981\u7684\u7269\u54c1\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u8003\u8651\u4e86\u5bf9\u51b7\u542f\u52a8\u7528\u6237\u7684\u5bf9\u8bdd\u63a8\u8350\uff0c\u7cfb\u7edf\u53ef\u4ee5\u540c\u65f6\u5411\u7528\u6237\u8be2\u95ee\u5c5e\u6027\u548c\u5411\u7528\u6237\u63a8\u8350\u9879\u76ee\u3002\u5728\u6700\u8fd1\u7684\u5de5\u4f5c\u4e2d\u7814\u7a76\u4e86\u8fd9\u4e00\u91cd\u8981\u573a\u666f\u3002\u4f46\u662f\uff0c\u5b83\u91c7\u7528\u624b\u5de5\u5236\u4f5c\u7684\u529f\u80fd\u6765\u51b3\u5b9a\u4f55\u65f6\u8be2\u95ee\u5c5e\u6027\u6216\u63d0\u51fa\u5efa\u8bae\u3002\u5c5e\u6027\u548c\u9879\u76ee\u7684\u8fd9\u79cd\u5355\u72ec\u5efa\u6a21\u4f7f\u7cfb\u7edf\u7684\u6709\u6548\u6027\u9ad8\u5ea6\u4f9d\u8d56\u4e8e\u624b\u5de5\u529f\u80fd\u7684\u9009\u62e9\uff0c\u4ece\u800c\u7ed9\u7cfb\u7edf\u5e26\u6765\u4e86\u8106\u5f31\u6027\u3002\u4e3a\u4e86\u89e3\u51b3\u6b64\u9650\u5236\uff0c\u6211\u4eec\u65e0\u7f1d\u5730\u7edf\u4e00\u4e86\u540c\u4e00\u624b\u81c2\u7a7a\u95f4\u4e2d\u7684\u5c5e\u6027\u548c\u9879\uff0c\u5e76\u4f7f\u7528Thompson Sampling\u6846\u67b6\u81ea\u52a8\u5b9e\u73b0\u4e86\u5b83\u4eec\u7684EE\u6298\u8877\u3002\u6211\u4eec\u7684\u4f1a\u8bdd\u6c64\u666e\u68ee\u62bd\u6837\uff08ConTS\uff09\u6a21\u578b\u901a\u8fc7\u9009\u62e9\u5177\u6709\u6700\u5927\u5956\u52b1\u7684\u624b\u81c2\u6765\u5168\u9762\u89e3\u51b3\u4f1a\u8bdd\u63a8\u8350\u4e2d\u7684\u6240\u6709\u95ee\u9898\u3002\u5728\u4e09\u4e2a\u57fa\u51c6\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u7684\u5927\u91cf\u5b9e\u9a8c\u8868\u660e\uff0c\u5728\u6210\u529f\u7387\u548c\u5e73\u5747\u4f1a\u8bdd\u8f6c\u6570\u65b9\u9762\uff0cConTS\u4f18\u4e8e\u6700\u65b0\u7684\u4f1a\u8bddUCB\uff08ConUCB\uff09\u548cEstimation-Action-Reflection\u6a21\u578b\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u53ef\u89e3\u91ca\u7684\u9ad8\u6548\u5f02\u6784\u56fe\u5377\u79ef\u7f51\u7edc<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Interpretable and Efficient Heterogeneous Graph Convolutional Network<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13183<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Yaming Yang, Ziyu Guan, Jianxin Li, Jianbin Huang, Wei Zhao<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u56fe\u5377\u79ef\u7f51\u7edc\uff08GCN\uff09\u5728\u5b66\u4e60\u56fe\u4e2d\u8282\u70b9\u7684\u6709\u6548\u9ad8\u7ea7\u8868\u793a\u5f62\u5f0f\u65b9\u9762\u53d6\u5f97\u4e86\u975e\u51e1\u7684\u6210\u529f\u3002\u4f46\u662f\uff0c\u5173\u4e8e\u5f02\u6784\u4fe1\u606f\u7f51\u7edc\uff08HIN\uff09\u7684\u7814\u7a76\u4ecd\u7136\u5f88\u6709\u9650\uff0c\u56e0\u4e3a\u73b0\u6709\u7684\u9762\u5411HIN\u7684GCN\u65b9\u6cd5\u5b58\u5728\u4e24\u4e2a\u7f3a\u9677\uff1a\uff081\uff09\u5b83\u4eec\u65e0\u6cd5\u7075\u6d3b\u5730\u5229\u7528\u6240\u6709\u53ef\u80fd\u7684\u5143\u8def\u5f84\uff0c\u6709\u4e9b\u751a\u81f3\u8981\u6c42\u7528\u6237\u6307\u5b9a\u6709\u7528\u7684\u5143\u8def\u5f84\u3002\u90a3\u4e9b; \uff082\uff09\u4ed6\u4eec\u901a\u5e38\u9700\u8981\u9996\u5148\u901a\u8fc7\u8ba1\u7b97\u901a\u52e4\u77e9\u9635\u5c06HIN\u8f6c\u6362\u4e3a\u57fa\u4e8e\u5143\u8def\u5f84\u7684\u56fe\uff0c\u8fd9\u5177\u6709\u8f83\u9ad8\u7684\u65f6\u95f4\u590d\u6742\u5ea6\uff0c\u5bfc\u81f4\u53ef\u4f38\u7f29\u6027\u8f83\u5dee\u3002\u4e3a\u4e86\u89e3\u51b3\u4e0a\u8ff0\u95ee\u9898\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u53ef\u89e3\u91ca\u4e14\u6709\u6548\u7684\u5f02\u6784\u56fe\u5377\u79ef\u7f51\u7edc\uff08\u5373HGCN\uff09\uff0c\u4ee5\u5b66\u4e60HIN\u4e2d\u8282\u70b9\u7684\u8868\u793a\u5f62\u5f0f\u3002\u5b83\u4f1a\u81ea\u52a8\u4ece\u6240\u6709\u53ef\u80fd\u7684\u5143\u8def\u5f84\uff08\u5728\u7531\u6a21\u578b\u6df1\u5ea6\u786e\u5b9a\u7684\u957f\u5ea6\u9650\u5236\u5185\uff09\u4e2d\u4e3a\u6bcf\u4e2a\u8282\u70b9\u63d0\u53d6\u6709\u7528\u7684\u5143\u8def\u5f84\uff0c\u4ece\u800c\u5e26\u6765\u826f\u597d\u7684\u6a21\u578b\u53ef\u89e3\u91ca\u6027\u3002\u5b83\u76f4\u63a5\u5c06\u6574\u4e2aHIN\u4f5c\u4e3a\u8f93\u5165\uff0c\u5e76\u907f\u514d\u4e86\u4e2d\u95f4HIN\u8f6c\u6362\u3002\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u5206\u5c42\u805a\u5408\u4f53\u7cfb\u7ed3\u6784\u907f\u514d\u4e86\u8ba1\u7b97\u6548\u7387\u4f4e\u4e0b\u7684\u90bb\u57df\u5173\u6ce8\u3002\u56e0\u6b64\uff0c\u5b83\u6bd4\u4ee5\u524d\u7684\u65b9\u6cd5\u6709\u6548\u5f97\u591a\u3002\u6211\u4eec\u6b63\u5f0f\u8bc1\u660eie-HGCN\u5728\u957f\u5ea6\u9650\u5236\uff08\u6a21\u578b\u6df1\u5ea6\uff09\u5185\u8bc4\u4f30\u6240\u6709\u53ef\u80fd\u7684\u5143\u8def\u5f84\u7684\u6709\u7528\u6027\uff0c\u8868\u660e\u5b83\u672c\u8d28\u4e0a\u5bf9HIN\u6267\u884c\u8c31\u56fe\u5377\u79ef\uff0c\u5e76\u5206\u6790\u65f6\u95f4\u590d\u6742\u5ea6\u4ee5\u9a8c\u8bc1\u5176\u51c6\u7ebf\u6027\u53ef\u6269\u5c55\u6027\u3002\u5728\u4e09\u4e2a\u771f\u5b9e\u4e16\u754c\u7f51\u7edc\u4e0a\u7684\u5927\u91cf\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cie-HGCN\u4f18\u4e8e\u6700\u5148\u8fdb\u7684\u65b9\u6cd5\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4eba\u7c7b\u90bb\u8fd1\u7f51\u7edc\u7684\u53cc\u66f2\u6620\u5c04<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Hyperbolic Mapping of Human Proximity Networks<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13216<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Marco A. Rodr\u00edguez-Flores, Fragkiskos Papadopoulos<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u4eba\u7c7b\u90bb\u8fd1\u7f51\u7edc\u662f\u4ee3\u8868\u7269\u7406\u7a7a\u95f4\u4e2d\u4eba\u7c7b\u4e4b\u95f4\u8fd1\u8ddd\u79bb\u90bb\u8fd1\u7684\u65f6\u95f4\u7f51\u7edc\u3002\u5728\u8fc7\u53bb\u768415\u5e74\u4e2d\uff0c\u5bf9\u5b83\u4eec\u8fdb\u884c\u4e86\u5e7f\u6cdb\u7684\u7814\u7a76\uff0c\u56e0\u4e3a\u5b83\u4eec\u5bf9\u4e8e\u4e86\u89e3\u4eba\u7c7b\u4e2d\u75be\u75c5\u548c\u4fe1\u606f\u7684\u4f20\u64ad\u81f3\u5173\u91cd\u8981\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u89e3\u51b3\u4e86\u5c06\u4eba\u7c7b\u90bb\u8fd1\u7f51\u7edc\u6620\u5c04\u5230\u53cc\u66f2\u7a7a\u95f4\u7684\u95ee\u9898\u3002\u8fd9\u4e9b\u7f51\u7edc\u7684\u6bcf\u4e2a\u5feb\u7167\u901a\u5e38\u975e\u5e38\u7a00\u758f\uff0c\u7531\u5c11\u91cf\u7684\u4ea4\u4e92\uff08\u5373\u975e\u96f6\u5ea6\uff09\u8282\u70b9\u7ec4\u6210\u3002\u7136\u800c\uff0c\u6211\u4eec\u8868\u660e\uff0c\u4f7f\u7528\u4f20\u7edf\u590d\u6742\u7f51\u7edc\u5f00\u53d1\u7684\u73b0\u6709\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5c06\u6b64\u7c7b\u7cfb\u7edf\u5728\u8db3\u591f\u5927\u7684\u65f6\u95f4\u8303\u56f4\u5185\u7684\u65f6\u95f4\u6c47\u603b\u8868\u793a\u5f62\u5f0f\u6709\u610f\u4e49\u5730\u5d4c\u5165\u5230\u53cc\u66f2\u7a7a\u95f4\u4e2d\u3002\u6211\u4eec\u4ece\u7406\u8bba\u4e0a\u8bc1\u660e\u8fd9\u79cd\u517c\u5bb9\u6027\uff0c\u5e76\u901a\u8fc7\u5b9e\u9a8c\u8fdb\u884c\u9a8c\u8bc1\u3002\u6211\u4eec\u751f\u6210\u4e86\u516d\u4e2a\u4e0d\u540c\u7684\u5b9e\u9645\u7cfb\u7edf\u7684\u53cc\u66f2\u56fe\uff0c\u5e76\u8868\u660e\u8be5\u56fe\u53ef\u7528\u4e8e\u8bc6\u522b\u793e\u533a\uff0c\u4fc3\u8fdb\u65f6\u6001\u7f51\u7edc\u4e0a\u7684\u9ad8\u6548\u8d2a\u5a6a\u8def\u7531\u4ee5\u53ca\u4ee5\u663e\u8457\u7684\u7cbe\u5ea6\u9884\u6d4b\u672a\u6765\u7684\u94fe\u63a5\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4e0d\u65ad\u6f14\u5316\u7684\u79d1\u5b66\u7f51\u7edc\u7684\u7ed3\u6784\u52a8\u529b\u5b66<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Structure dynamics of evolving scientific networks<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13251<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Demival Vasques Filho, Dion R. J. O\u2019Neale<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u7f51\u7edc\u79d1\u5b66\u4e2d\uff0c\u5171\u540c\u4f5c\u8005\u7f51\u7edc\u88ab\u5e7f\u6cdb\u7814\u7a76\uff0c\u56e0\u4e3a\u5b83\u4eec\u6784\u6210\u4e86\u7cfb\u7edf\u7684\u5355\u4e2a\u5143\u7d20\u5982\u4f55\u5728\u590d\u6742\u7684\uff0c\u975e\u5e73\u51e1\u7684\u4ea4\u4e92\u7ed3\u6784\u4e0a\u4ea7\u751f\u96c6\u4f53\u73b0\u8c61\u7684\u5b8c\u7f8e\u793a\u4f8b\u3002\u4f46\u662f\uff0c\u5171\u540c\u4f5c\u8005\u7f51\u7edc\u5b9e\u9645\u4e0a\u662f\u539f\u59cb\u4e24\u65b9\u7f51\u7edc\u7684\u5355\u6a21\u6295\u5f71\uff0c\u6211\u4eec\u5728\u8fd9\u91cc\u5c06\u5176\u79f0\u4e3a\u79d1\u5b66\u7f51\u7edc\uff0c\u5176\u4e2d\u4f5c\u8005\u662f\u4e0e\u4eba\u5de5\u5236\u54c1\u76f8\u5173\u7684\u4e3b\u4f53-\u4ed6\u4eec\u5df2\u53d1\u8868\u7684\u8bba\u6587\u3002\u4f46\u662f\uff0c\u5f88\u5c11\u6709\u7814\u7a76\u8003\u8651\u539f\u59cb\u7684\u4e8c\u5206\u7f51\u7edc\u7684\u7ed3\u6784\u6765\u7406\u89e3\u548c\u89e3\u91ca\u6295\u5f71\u7f51\u7edc\u7684\u62d3\u6251\u7279\u6027\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u4f7f\u7528\u6765\u81ea\u7f8e\u56fd\u7269\u7406\u5b66\u4f1a\uff08APS\uff09\u7684\u5e7f\u6cdb\u6570\u636e\u96c6\uff08\u53ef\u8ffd\u6eaf\u52301893\u5e74\u81f32015\u5e74\uff0c\u5305\u62ec2015\u5e74\uff09\u548carXiv\uff081986-2015\u5e74\uff09\u521b\u5efa\u53cc\u5411\u7f51\u7edc\u3002\u6211\u4eec\u8003\u8651\u4e86\u4e24\u65b9\u7f51\u7edc\u7684\u56db\u4e2a\u4e3b\u8981\u7279\u5f81\uff0c\u5373\u7a0b\u5ea6\u5206\u5e03\uff0c\u5bc6\u5ea6\uff0c\u5197\u4f59\u5ea6\u548c\u5468\u671f\uff0c\u7814\u7a76\u4e86\u51fa\u7248\u7269\u7684\u65f6\u95f4\u6f14\u53d8\u548c\u79d1\u5b66\u7f51\u7edc\u7684\u52a8\u6001\u7ed3\u6784\u3002\u6211\u4eec\u5c55\u793a\u4e86\u8fd9\u4e9b\u7279\u5f81\u5982\u4f55\u5851\u9020\u5171\u540c\u4f5c\u8005\u7f51\u7edc\u7684\u5f62\u6210\u53ca\u5176\u89c2\u5bdf\u5230\u7684\u7ed3\u6784\u7279\u6027\u3002\u5c3d\u7ba1\u5927\u591a\u6570\u5b66\u79d1\u7684\u7f51\u7edc\u7ed3\u6784\u5e76\u672a\u663e\u793a\u51fa\u968f\u65f6\u95f4\u53d8\u5316\u7684\u663e\u8457\u53d8\u5316\uff0c\u4f46\u5728\u7269\u7406\u5b66\u4e2d\uff0c\u5927\u578b\u534f\u4f5c\u7684\u51fa\u73b0\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u5bfc\u81f4\u4e86\u9876\u7ea7\u8282\u70b9\u7684\u503e\u659c\u5ea6\u5206\u5e03\u3002\u540e\u8005\u53cd\u8fc7\u6765\u5728\u6295\u5f71\u4e2d\u5f15\u8d77\u5927\u91cf\u6d3e\u522b\uff0c\u5f15\u53d1\u4e86\u5171\u540c\u4f5c\u8005\u7f51\u7edc\u7684\u76f8\u5f53\u5927\u7684\u81f4\u5bc6\u5316\uff0c\u800c\u539f\u59cb\u4e24\u65b9\u7f51\u7edc\u7684\u5bc6\u5ea6\u4fdd\u6301\u5728\u540c\u4e00\u6c34\u5e73\u3002<\/span><\/section>\n


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

    \n
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    \u590d\u6742\u7f51\u7edc\u7684\u51e0\u4f55\u540c\u4f59<\/strong><\/span><\/p>\n

    \u548c\u6709\u6548\u8d2a\u5a6a\u53ef\u5bfc\u822a\u6027<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Geometrical congruence and efficient greedy navigability of complex networks<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13255<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Carlo Vittorio Cannistraci, Alessandro Muscoloni<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u53cc\u66f2\u7f51\u7edc\u88ab\u8ba4\u4e3a\u4e0e\u5176\u6f5c\u5728\u7684\u51e0\u4f55\u5f62\u72b6\u662f\u4e00\u81f4\u7684\uff0c\u53cc\u66f2\u7a7a\u95f4\u4e2d\u7684\u6d4b\u5730\u7ebf\u88ab\u8ba4\u4e3a\u7b49\u6548\u4e8e\u901a\u8fc7\u62d3\u6251\u6700\u77ed\u8def\u5f84\uff08TSP\uff09\u5bfc\u822a\u3002\u8fd9\u79cd\u51e0\u4f55\u4e0a\u4e00\u81f4\u7684\u5047\u8bbe\u88ab\u8ba4\u4e3a\u662f\u53cc\u66f2\u7f51\u7edc\u51e0\u4e4e\u6700\u5927\u6709\u6548\u8d2a\u5a6a\u5bfc\u822a\u7684\u539f\u56e0\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u79f0\u4e3a\u51e0\u4f55\u4e00\u81f4\u6027\uff08GC\uff09\u7684\u590d\u6742\u7f51\u7edc\u5ea6\u91cf\uff0c\u5e76\u4e14\u6211\u4eec\u8868\u660e\u53ef\u80fd\u5b58\u5728\u4e0d\u540c\u7684TSP\uff0c\u5176\u53cc\u66f2\u7a7a\u95f4\u4e2d\u7684\u6295\u5f71\uff08pTSP\uff09\u5dee\u5f02\u5f88\u5927\uff0c\u5e76\u4e14\u4e0e\u5404\u81ea\u7684\u6d4b\u5730\u7ebf\u663e\u8457\u4e0d\u540c\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u4e0e\u5f53\u524d\u7684\u770b\u6cd5\u76f8\u53cd\uff0c\u53cc\u66f2\u7f51\u7edc\u6ca1\u6709\u8868\u73b0\u51fa\u4e00\u822c\u7684\u51e0\u4f55\u4e00\u81f4\u6027\u548c\u6709\u6548\u7684\u53ef\u5bfc\u822a\u6027\uff0c\u5728\u4f7f\u7528nPSO\u6a21\u578b\u751f\u6210\u7684\u7f51\u7edc\u4e2d\uff0c\u53cc\u66f2\u7f51\u7edc\u4f3c\u4e4e\u4ec5\u5728\u5e42\u5f8b\u6307\u6570\u63a5\u8fd12\u65f6\u624d\u51fa\u73b0\u3002\u4e5f\u4f1a\u5f71\u54cd\u771f\u5b9e\u7684\u7f51\u7edc\u5206\u6790\uff0c\u5b9e\u9645\u4e0a\uff0c\u5b83\u4f1a\u6309\u6027\u522b\u6216\u5e74\u9f84\u5206\u7ec4\u663e\u8457\u6539\u53d8\u7ed3\u6784\u6027\u5927\u8111\u8fde\u63a5\u7ec4\u3002<\/span><\/section>\n


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

    \n
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    <\/p>\n

    \u7f51\u7edc\u5206\u6790\u6cd5\u68c0\u6d4b\u865a\u5047\u4fe1\u606f\u6d3b\u52a8<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    On the Detection of Disinformation Campaign Activity with Network Analysis<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13466<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Luis Vargas, Patrick Emami, Patrick Traynor<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8fd1\u5e74\u6765\uff0c\u968f\u7740\u865a\u5047\u4fe1\u606f\u8fd0\u52a8\u8bd5\u56fe\u5206\u5316\u653f\u6cbb\u8bdd\u9898\uff0c\u5728\u7ebf\u64cd\u7eb5\u4fe1\u606f\u5df2\u53d8\u5f97\u666e\u904d\u3002\u5c3d\u7ba1\u6211\u4eec\u77e5\u9053\u5b58\u5728\u865a\u5047\u5ba3\u4f20\u6d3b\u52a8\uff0c\u4f46\u8981\u68c0\u6d4b\u5176\u5728\u7ebf\u5b58\u5728\u4ecd\u7136\u5f88\u56f0\u96be\u3002\u7814\u7a76\u4eba\u5458\u5efa\u8bae\u901a\u8fc7\u5bfb\u627e\u7279\u5b9a\u7684\u534f\u8c03\u6a21\u5f0f\u6765\u68c0\u6d4bTwitter\u4e0a\u7684\u865a\u5047\u4fe1\u606f\u6d3b\u52a8\uff08\u4f8b\u5982\uff0c\u5728\u77ed\u65f6\u95f4\u5185\u5171\u4eab\u76f8\u540c\u7684\u4e3b\u9898\u6807\u7b7e\uff09\u3002\u7136\u800c\uff0c\u8fd9\u79cd\u65b9\u6cd5\u7684\u95ee\u9898\u5728\u4e8e\uff0c\u5c3d\u7ba1\u6240\u63d0\u8bae\u7684\u534f\u8c03\u6a21\u5f0f\u53ef\u80fd\u662f\u6240\u7814\u7a76\u7684\u865a\u5047\u4fe1\u606f\u8fd0\u52a8\u6240\u72ec\u6709\u7684\uff0c\u4f46\u8fd9\u79cd\u6a21\u5f0f\u5c1a\u672a\u9488\u5bf9\u975e\u968f\u673a\u6837\u672c\u6216\u5728\u5404\u79cd\u8fd0\u52a8\u4e2d\u5f97\u5230\u5145\u5206\u9a8c\u8bc1\u3002\u6211\u4eec\u7814\u7a76\u4e86\u8fd9\u4e9b\u534f\u8c03\u6a21\u5f0f\u5bf9\u4ece\u5176\u4ed6Twitter\u6d3b\u52a8\u4e2d\u8bc6\u522b\u865a\u5047\u5ba3\u4f20\u6d3b\u52a8\u7684\u6709\u6548\u6027\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u901a\u8fc7\u5728\u7531\u5341\u4e2a\u5dde\u653f\u5e9c\u53d1\u8d77\u7684\u7ade\u9009\u6d3b\u52a8\u548c\u5404\u79cd\u826f\u6027Twitter\u793e\u533a\u7ec4\u6210\u7684\u5927\u89c4\u6a21\u6570\u636e\u96c6\u4e0a\u6d4b\u8bd5\u5efa\u8bae\u7684\u534f\u8c03\u6a21\u5f0f\uff0c\u4ee5\u5728\u5f7c\u6b64\u4e4b\u95f4\u534f\u8c03\u548c\u5171\u4eab\u4fe1\u606f\u3002\u6211\u4eec\u8868\u660e\uff0c\u8fd9\u79cd\u6a21\u5f0f\u6709\u5f88\u5927\u7684\u5c40\u9650\u6027\u3002\u9996\u5148\uff0cTwitter\u793e\u533a\u4e2d\u7684\u534f\u8c03\u5e76\u4e0d\u5c11\u89c1\uff0c\u7279\u522b\u662f\u5f53\u5728\u7ebf\u4e16\u754c\u5bf9\u771f\u5b9e\u4e16\u754c\u7684\u65b0\u95fb\u505a\u51fa\u53cd\u5e94\u65f6\uff08\u4f8b\u5982\uff0c\u7f8e\u56fd\u5f39each\u5ba1\u5224\uff09\u3002\u5176\u6b21\uff0c\u7531\u4e8eCOVID-19\u5927\u6d41\u884c\uff0c\u6211\u4eec\u53d1\u73b0\u653f\u6cbb\u673a\u6784\u589e\u52a0\u4e86\u5176\u534f\u8c03\u6d3b\u52a8\u3002\u8fd9\u79cd\u534f\u8c03\u6027\u6fc0\u589e\u6076\u5316\u4e86\u53ef\u7528\u6027\u548c\u68c0\u6d4b\u7387\u4e4b\u95f4\u7684\u6743\u8861\u3002\u4e3a\u4e86\u8bc6\u522b\u5927\u6d41\u884c\u671f\u95f4\u7684\u5927\u591a\u6570\u826f\u6027\u6d3b\u52a8\uff0c\u5206\u7c7b\u5668\u4f1a\u5ffd\u7565\u8fd125\uff05\u7684\u865a\u5047\u4fe1\u606f\u6d3b\u52a8\u3002\u76f8\u53cd\uff0c\u5982\u679c\u5206\u7c7b\u5668\u68c0\u6d4b\u5230\u6076\u610f\u534f\u8c03\u7684\u6bd4\u7387\u5f88\u9ad8\uff0c\u5219\u4f1a\u5bf946\uff05\u7684\u5408\u6cd5\u534f\u8c03\u6d3b\u52a8\u8fdb\u884c\u9519\u8bef\u5206\u7c7b\u3002\u5728\u8fdb\u884c\u8fd9\u9879\u835f\u8403\u5206\u6790\u65f6\uff0c\u6211\u4eec\u8868\u660e\uff0c\u5c3d\u7ba1\u534f\u8c03\u6a21\u5f0f\u5bf9\u4e8e\u68c0\u6d4b\u865a\u5047\u4fe1\u606f\u6d3b\u52a8\u53ef\u80fd\u6709\u7528\uff0c\u4f46\u4ecd\u9700\u8981\u8fdb\u4e00\u6b65\u5206\u6790\u4ee5\u786e\u5b9a\u793e\u533a\u7684\u610f\u56fe\u3002<\/span><\/section>\n


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

    \n
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    \u7528\u4e8eTwitter\u4e0a\u7684\u8206\u8bba<\/strong><\/span><\/p>\n

    \u9884\u6d4b\u7684\u795e\u7ecf\u65f6\u6001\u8206\u8bba\u5efa\u6a21<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Neural Temporal Opinion Modelling for Opinion Prediction on Twitter<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13486<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Lixing Zhu, Yulan He, Deyu Zhou<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u7531\u4e8e\u63a8\u6587\u5185\u5bb9\u548c\u793e\u533a\u73af\u5883\u7684\u77ed\u6682\u6027\uff0cTwitter\u4e0a\u7684\u89c2\u70b9\u9884\u6d4b\u5177\u6709\u6311\u6218\u6027\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u7528\u6237\u7684tweet\u53d1\u5e03\u884c\u4e3a\u5efa\u6a21\u4e3a\u4e00\u4e2a\u65f6\u95f4\u70b9\u8fc7\u7a0b\uff0c\u4ee5\u5728\u7ed9\u5b9a\u7528\u6237\u7684\u5386\u53f2tweet\u5e8f\u5217\u548c\u90bb\u5c45\u53d1\u5e03\u7684tweet\u7684\u60c5\u51b5\u4e0b\uff0c\u5171\u540c\u9884\u6d4b\u53d1\u5e03\u65f6\u95f4\u548c\u4e0b\u4e00\u6761tweet\u7684\u7acb\u573a\u6807\u7b7e\u3002\u6211\u4eec\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u4e3b\u9898\u9a71\u52a8\u7684\u6ce8\u610f\u529b\u673a\u5236\uff0c\u4ee5\u6355\u83b7\u90bb\u5c45\u4e0a\u4e0b\u6587\u4e2d\u7684\u52a8\u6001\u4e3b\u9898\u8f6c\u79fb\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u4e0e\u8bb8\u591a\u7ade\u4e89\u57fa\u51c6\u76f8\u6bd4\uff0c\u8be5\u6a21\u578b\u53ef\u4ee5\u66f4\u51c6\u786e\u5730\u9884\u6d4b\u53d1\u5e03\u65f6\u95f4\u548c\u672a\u6765\u63a8\u6587\u7684\u7acb\u573a\u6807\u7b7e\u3002<\/span><\/section>\n


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

    \n
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    <\/p>\n

    \u542b\u65f6\u79d1\u5b66\u4f5c\u8005\u7f51\u7edc\u4e2d\u7684\u6027\u522b\u548c\u534f\u4f5c\u6a21\u5f0f<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Gender and collaboration patterns in a temporal scientific authorship network<\/span><\/h3>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13512<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Gecia Bravo-Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria, Yael Niv<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u53ef\u4ee5\u6307\u51faSTEM\u4e2d\u6027\u522b\u5e73\u7b49\u7684\u5404\u79cd\u5386\u53f2\u6027\u91cc\u7a0b\u7891\uff08\u79d1\u5b66\uff0c\u6280\u672f\uff0c\u5de5\u7a0b\u548c\u6570\u5b66\uff09\uff0c\u4f46\u662f\uff0c\u5b9e\u9645\u6548\u679c\u662f\u6e10\u8fdb\u7684\u4e14\u6301\u7eed\u4e0d\u65ad\u7684\u3002\u91cd\u8981\u7684\u662f\uff0c\u91cf\u5316\u79d1\u5b66\u5de5\u4f5c\u5b50\u57df\u4e2d\u7684\u6027\u522b\u5dee\u5f02\uff0c\u4ee5\u53d1\u73b0\u6f5c\u5728\u7684\u504f\u89c1\u5e76\u76d1\u63a7\u8fdb\u5ea6\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u5728\u8fd0\u8425\u7814\u7a76\u4e0e\u7ba1\u7406\u79d1\u5b66\u5b66\u9662\uff08INFORMS\uff09\u4e2d\u7814\u7a76\u4e86\u6027\u522b\u5728\u79d1\u5b66\u5408\u4f5c\u6a21\u5f0f\u4e2d\u7684\u76f8\u5173\u6027\uff0c\u8be5\u7814\u7a76\u6240\u662f\u4e00\u4e2a\u62e5\u6709\u5341\u516d\u79cd\u540c\u884c\u8bc4\u5ba1\u671f\u520a\u7684\u4e13\u4e1a\u534f\u4f1a\u3002\u5229\u7528\u4ed6\u4eec\u4ece1952\u5e74\u52302016\u5e74\u7684\u51fa\u7248\u6570\u636e\uff0c\u6211\u4eec\u5728\u4f5c\u8005\u548c\u51fa\u7248\u7269\u4e4b\u95f4\u5efa\u7acb\u4e86\u4e00\u4e2a\u5927\u578b\u7684\u65f6\u95f4\u53cc\u5411\u7f51\u7edc\uff0c\u5e76\u4f7f\u7528\u6027\u522b\u6807\u7b7e\u6269\u5c55\u4e86\u4f5c\u8005\u8282\u70b9\u3002\u6211\u4eec\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\uff0c\u5bf9\u8be5\u7f51\u7edc\u7684\u51e0\u4e2a\u57fa\u672c\u7edf\u8ba1\u6570\u636e\u4e2d\u7684\u5dee\u5f02\u8fdb\u884c\u4e86\u7279\u5f81\u63cf\u8ff0\uff0c\u5f3a\u8c03\u4e86\u5b83\u4eec\u5728\u76f8\u5173\u5386\u53f2\u4e8b\u4ef6\u65b9\u9762\u7684\u53d8\u5316\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u4ece1980\u5e74\u5de6\u53f3\u5f00\u59cb\uff0c\u5987\u5973\u7684\u53c2\u4e0e\u7387\u7a33\u6b65\u4e0a\u5347\uff08\u4f8b\u5982\uff0c\u5987\u5973\u548c\u65b0\u5973\u6027\u4f5c\u8005\u7684\u8457\u4f5c\u6743\u4efd\u989d\u6709\u6240\u4e0b\u964d\uff09\u3002\u4f46\u662f\uff0c\u5728INFORMS\u793e\u4f1a\u4e2d\uff0c\u5987\u5973\u6240\u5360\u6bd4\u4f8b\u4ecd\u4e0d\u523025\uff05\uff0c\u5728\u8bb8\u591a\u51fa\u7248\u7269\u4e2d\uff0c\u5987\u5973\u6240\u5360\u6bd4\u4f8b\u751a\u81f3\u66f4\u4f4e\u3002\u6b64\u5916\uff0c\u6211\u4eec\u63cf\u8ff0\u4e86\u4e00\u79cd\u65b9\u6cd5\uff0c\u7528\u4e8e\u91cf\u5316\u4f5c\u8005\u8eab\u4efd\u76f8\u5bf9\u4e8e\u7f51\u7edc\u7684\u6574\u4f53\u8fde\u901a\u6027\u7684\u7ed3\u6784\u6027\u4f5c\u7528\uff0c\u7528\u5b83\u6765\u8861\u91cf\u5973\u6027\u548c\u7537\u6027\u4e4b\u95f4\u7684\u4f5c\u8005\u8eab\u4efd\u4e4b\u95f4\u7684\u7ec6\u5fae\u5dee\u5f02\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u4f5c\u4e3a\u4f5c\u8005\u7ed3\u6784\u91cd\u8981\u6027\u7684\u8861\u91cf\u6307\u6807\uff0c\u6211\u4eec\u4f7f<\/span>\u7528\u6709\u6548\u7684\u6297<\/span>\u62d2\u6027\u548c<\/span>\u6536\u7f29\u91cd\u8981\u6027\uff0c\u8fd9\u662f\u4e0e\u6574\u4e2a\u7f51\u7edc\u4e2d\u7684\u4f20\u64ad\u6709\u5173\u7684\u4e24\u9879\u8861\u91cf\u6307\u6807\u3002<\/span>\u4f5c\u4e3a\u96f6\u6a21\u578b\uff0c\u6211<\/span>\u4eec<\/span>\u63d0\u51fa\u4e86\u5e26\u6709\u7d27\u6025<\/span>\u793e\u533a\u7684\u4fdd\u5ea6\u65f6\u6001\u548c\u51e0\u4f55\u7f51\u7edc\u6a21\u578b\u3002<\/span>\u6211<\/span>\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u7537\u5973\u5408\u4f5c\u6a21\u5f0f\u4e4b\u95f4\u5b58\u5728\u7cfb\u7edf\u6027\u5dee\u5f02\uff0c\u800c\u8fd9\u53ea\u80fd\u7531\u5f53\u5730\u7edf\u8ba1\u6570\u636e\u6765\u89e3\u91ca\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    NARMADA\uff1a\u707e\u96be\u548c\u9006\u5883\u7684<\/strong><\/span><\/p>\n

    \u9700\u6c42\u548c\u53ef\u7528\u8d44\u6e90\u7ba1\u7406\u52a9\u7406<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.13524<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5c3d\u7ba1\u5728\u707e\u96be\u671f\u95f4\u5229\u7528\u5728\u7ebf\u793e\u4ea4\u5a92\u4f53\u8fdb\u884c\u4e86\u5927\u91cf\u7814\u7a76\uff0c\u4f46\u8fd8\u6ca1\u6709\u9488\u5bf9\u707e\u96be\u540e\u573a\u666f\u81f3\u5173\u91cd\u8981\u7684\u7279\u5b9a\u4efb\u52a1\u7684\u7cfb\u7edf-\u786e\u5b9a\u53d7\u707e\u5730\u533a\u7684\u8d44\u6e90\u9700\u6c42\u548c\u8d44\u6e90\u53ef\u7528\u6027\uff0c\u52a0\u4e0a\u4ed6\u4eec\u968f\u540e\u7684\u5339\u914d\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86NARMADA\uff0c\u8fd9\u662f\u4e00\u4e2a\u534a\u81ea\u52a8\u5316\u7684\u5e73\u53f0\uff0c\u8be5\u5e73\u53f0\u5229\u7528\u4e86\u6765\u81ea\u793e\u4ea4\u5a92\u4f53\u5e16\u5b50\u7684\u4f17\u5305\u4fe1\u606f\u6765\u534f\u52a9\u707e\u540e\u6551\u707e\u534f\u8c03\u5de5\u4f5c\u3002\u8be5\u7cfb\u7edf\u91c7\u7528\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u4fe1\u606f\u68c0\u7d22\u6280\u672f\u6765\u4ece\u5fae\u535a\u4e2d\u8bc6\u522b\u8d44\u6e90\u9700\u6c42\u548c\u8d44\u6e90\u53ef\u7528\u6027\uff0c\u4ece\u5e16\u5b50\u4e2d\u63d0\u53d6\u8d44\u6e90\uff0c\u5e76\u5c06\u9700\u6c42\u4e0e\u5408\u9002\u7684\u53ef\u7528\u6027\u8fdb\u884c\u5339\u914d\u3002\u56e0\u6b64\uff0c\u8be5\u7cfb\u7edf\u80fd\u591f\u5728\u707e\u96be\u540e\u7684\u6551\u63f4\u884c\u52a8\u4e2d\u4fc3\u8fdb\u5bf9\u8d44\u6e90\u7684\u660e\u667a\u7ba1\u7406\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\u738b\u5efa\u840d
    <\/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


    <\/p>\n


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    <\/p>\n

    \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

    \u9c81\u68d2\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u56fe\u7ed3\u6784\u5b66\u4e60 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901240\u7bc7<\/a>
    <\/p>\n

    \u5c45\u5bb6\u4ee4\u5bf9SARS-CoV-2\u4f20\u64ad\u5f71\u54cd\u7684\u56e0\u679c\u4f30\u8ba1 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901224\u7bc7<\/a>
    <\/p>\n

    \u4e3a\u4ec0\u4e48\u5927\u591a\u6570COVID-19\u611f\u67d3\u66f2\u7ebf\u5448\u7ebf\u6027\uff1f| \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901237\u7bc7<\/a>
    <\/p>\n

    COVID-19\u6d41\u884c\u75c5\u7684\u57ce\u5e02\u6807\u5ea6\u5f8b | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901228\u7bc7<\/a><\/p>\n

    COVID-19\u4e0e\u793e\u4f1a\u9694\u79bb\u6096\u8bba\uff1a\u5371\u9669\u4e0e\u89e3\u51b3\u65b9\u6848 |  \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

    \n
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    \n


    <\/p>\n


    <\/p>\n

    \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

    \u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

    \n

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

    \u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section><\/div>\n","protected":false},"excerpt":{"rendered":"

    \u672c\u6587\u7531\u673a\u5668\u7ffb\u8bd1\uff0c\u4ec5\u4f9b\u53c2\u8003\uff0c\u611f\u5174\u8da3\u8bf7\u67e5\u9605\u8bba\u6587\u539f\u6587 \u6838\u5fc3\u901f\u9012 \u4f30\u8ba1COVID-19\u5927\u6d41\u884c\u4e2d\u7684\u611f\u67d3\u75c5\u4f8b\u6570; \u5728\u65af\u6d1b\u6587\u5c3c\u4e9a\u793e\u4f1a\u7f51\u7edc\u4e0a\u6a21\u62dfCOVID-19\u5927\u6d41\u884c\uff1a\u4f30\u8ba1\u9884\u6d4b\u5185\u751f\u4e0d\u786e\u5b9a\u6027; \u75ab\u60c5\u65b0\u95fb\uff1a\u4e3b\u6d41\u65b0\u95fb\u5a92\u4f53\u7684Facebook\u4e13\u9898\u9875\u9762\u548c\u51a0\u72b6\u75c5\u6bd2\u5371\u673a-\u8ba1\u7b97\u5185\u5bb9\u5206\u6790; \u745e\u5178SARS-CoV-2\u611f\u67d3\u8005\u7684\u6bd4\u4f8b\u4f30\u8ba1; …<\/p>\n","protected":false},"author":1,"featured_media":19825,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/19827"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=19827"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/19827\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/19825"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=19827"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=19827"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=19827"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=19827"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}