{"id":19813,"date":"2020-05-27T17:28:35","date_gmt":"2020-05-27T09:28:35","guid":{"rendered":"https:\/\/swarma.org\/?p=19813"},"modified":"2020-05-27T17:28:35","modified_gmt":"2020-05-27T09:28:35","slug":"covid-19%e6%b5%81%e8%a1%8c%e4%bc%a0%e6%92%ad%e6%a8%a1%e5%9e%8b-%e7%bd%91%e7%bb%9c%e7%a7%91%e5%ad%a6%e8%ae%ba%e6%96%87%e9%80%9f%e9%80%9221%e7%af%87","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=19813","title":{"rendered":"COVID-19\u6d41\u884c\u4f20\u64ad\u6a21\u578b | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901221\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
    COVID-19\u6d41\u884c\u4f20\u64ad\u6a21\u578b;
    <\/span><\/section>\n<\/li>\n
  • \n
    \u57fa\u4e8e\u65f6\u95f4\u5e8f\u5217\u70ed\u95e8\u65b0\u8bcd\u6316\u6398\u7684COVID-19\u516c\u4f17\u89c2\u70b9\u548c\u60c5\u611f\u76d1\u6d4b\u7cfb\u7edf;<\/span><\/section>\n<\/li>\n
  • \n
    Covid-19\uff1a\u5bf9\u6269\u5c55SEIR\u6a21\u578b\u7684\u5206\u6790\u4ee5\u53ca\u4e0d\u540c\u5e72\u9884\u7b56\u7565\u7684\u6bd4\u8f83;<\/span><\/section>\n<\/li>\n
  • \n
    \u91cf\u5316COVID-19\u5927\u6d41\u884c\u5bf9\u79d1\u5b66\u5bb6\u7684\u76f4\u63a5\u5f71\u54cd;
    <\/span><\/section>\n<\/li>\n
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    \u4f7f\u7528\u8c03\u6574\u540e\u7684\u65f6\u53d8SIRD\u6a21\u578b\u5bf9\u610f\u5927\u5229\u7701\u7ea7Covid-19\u7684\u6d41\u884c\u75c5\u6570\u636e\u8fdb\u884c\u5efa\u6a21;<\/span><\/section>\n<\/li>\n
  • \n
    COVID-19\uff1a\u4f7f\u7528\u6709\u504f\u6848\u4f8b\u68c0\u6d4b\u6570\u636e\u5b9e\u65f6\u9884\u6d4b\u518d\u751f\u56e0\u5b50;<\/span><\/section>\n<\/li>\n
  • \n
    \u901a\u8fc7\u5e7f\u4e49SEIR\u6a21\u578b\u5206\u6790\u5df4\u897f\u7684COVID-19\u6d41\u884c\u75c5;<\/span><\/section>\n<\/li>\n
  • \n
    \u5229\u7528\u5143\u80de\u81ea\u52a8\u673a\u5b9e\u73b0\u6d77\u5fb7\u5e73\u8861;<\/span><\/section>\n<\/li>\n
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    \u540c\u8d28\u6811\u4e0ak\u7a92\u7684Maki-Thompson\u8c23\u8a00\u6a21\u578b;<\/span><\/section>\n<\/li>\n
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    \u5b66\u672f\u671f\u520a\u4e2d\u7684\u4ee4\u724c\u7ba1\u7406\u6ce8\u518c\uff1a\u533a\u5757\u94fe\u9047\u5230\u65e0\u5f62\u5927\u5b66;<\/span><\/section>\n<\/li>\n
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    \u4eba\u5de5\u591a\u5c42\u793e\u4f1a\u5408\u4f5c\u72e9\u730e\u7684\u6f14\u53d8;<\/span><\/section>\n<\/li>\n
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    \u57fa\u4e8eZipf\u5c3a\u5ea6\u6307\u6570\u63a2\u7d22\u57ce\u5e02\u5316\u6c34\u5e73;<\/span><\/section>\n<\/li>\n
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    \u57fa\u4e8e\u7ea6\u675f\u6ee1\u610f\u4e3b\u4f53\u7684\u5b8f\u89c2\u7ecf\u6d4e\u6a21\u578b;<\/span><\/section>\n<\/li>\n
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    \u65f6\u6ede\u9884\u7b97\u5f71\u54cd\u6700\u5927\u5316\u7684\u8fd1\u4f3c\u8fb9\u9645\u6269\u5c55\u8ba1\u7b97\u65b9\u6cd5;<\/span><\/section>\n<\/li>\n
  • \n
    \u65f6\u7a7a\u7f51\u7edc\u6a21\u4f53\uff1a\u6a21\u578b\u3001\u5c40\u9650\u6027\u3001\u8bc4\u4f30\u65b9\u6cd5;<\/span><\/section>\n<\/li>\n
  • \n
    \u82f1\u56fd2017\u5e74\u548c2019\u5e74\u5927\u9009\u6c11\u610f\u6d4b\u9a8c\u7684\u968f\u673a\u5fae\u5206\u65b9\u7a0b\u65b9\u6cd5;<\/span><\/section>\n<\/li>\n
  • \n
    \u4ee3\u7406\u7ade\u4e89\u793e\u4f1a\u4e2d\u7684\u81ea\u6211\u8bf1\u5bfc\u7684\u9636\u7ea7\u5206\u5c42\uff1a\u5b58\u5728\u5ac9\u5992\u65f6\u7684\u7eb3\u4ec0\u7a33\u5b9a\u6027;<\/span><\/section>\n<\/li>\n
  • \n
    \u968f\u673a\u77e9\u9635\u5728\u8f6f\u8c31\u4e2d\u7684\u5e94\u7528;<\/span><\/section>\n<\/li>\n
  • \n
    1992-2015\u5e74\u4eba\u5de5\u591c\u95f4\u706f\u5149\u7684\u65f6\u7a7a\u7f51\u7edc\u6f14\u53d8;<\/span><\/section>\n<\/li>\n
  • \n
    \u63a8\u8350\u8bc4\u8bba\u6709\u7528\u5417\uff1f\u6279\u8bc4\u8bc4\u8bba\u548c\u53ef\u80fd\u7684\u6539\u8fdb;<\/span><\/section>\n<\/li>\n
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    ERC20\u4e0a\u7684\u7528\u6237\u884c\u4e3a\u548c\u4ee3\u5e01\u91c7\u7528;<\/span><\/section>\n<\/li>\n<\/ul>\n

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    COVID-19\u6d41\u884c\u4f20\u64ad\u6a21\u578b<\/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><\/span><\/p>\n

    Epidemic spreading model of COVID-19<\/span><\/p>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/p>\n

    http:\/\/arxiv.org\/abs\/2005.11815<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/p>\n

    Lasko Basnarkov<\/span>
    <\/p>\n


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

    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u7814\u7a76\u4e86\u53d7COVID-19\u4f20\u67d3\u6027\u7684\u4e24\u4e2a\u7279\u5f81\u542f\u53d1\u7684\u6613\u611f\u66b4\u9732\u65e0\u75c7\u72b6\u4f20\u67d3\u6062\u590d\uff08SEAIR\uff09\u6d41\u884c\u75c5\u4f20\u64ad\u6a21\u578b\uff1a\u5ef6\u8fdf\u5f00\u59cb\u53ca\u5176\u5728\u75c7\u72b6\u53d1\u4f5c\u4e4b\u524d\u7684\u51fa\u73b0\uff0c\u751a\u81f3\u5b8c\u5168\u6ca1\u6709\u75c7\u72b6\u3002\u7406\u8bba\u4e0a\u5728\u968f\u673a\u6b63\u5219\u56fe\u548c\u590d\u6742\u7f51\u7edc\u4e0a\u4ee5\u8fde\u7eed\u65f6\u95f4\u95f4\u9694\u7248\u672c\u548c\u79bb\u6563\u65f6\u95f4\u7248\u672c\u5206\u6790\u8be5\u6a21\u578b\u3002\u6211\u4eec\u901a\u8fc7\u5206\u6790\u8868\u660e\uff0c\u5728\u6240\u6709\u4e09\u79cd\u7248\u672c\u4e2d\uff0c\u6d41\u884c\u9608\u503c\u4e0e\u6613\u611f\u79cd\u7fa4\u5728\u5730\u65b9\u5747\u8861\u65f6\u7684\u65b9\u7a0b\u4e4b\u95f4\u90fd\u6709\u5173\u7cfb\uff0c\u5f53\u6d41\u884c\u8f83\u5f31\u65f6\uff0c\u8fd9\u79cd\u5173\u7cfb\u6210\u7acb\u3002\u6211\u4eec\u63d0\u4f9b\u7406\u8bba\u4e0a\u7684\u8bba\u70b9\uff0c\u5373\u8282\u70b9\u7684\u7279\u5f81\u5411\u91cf\u4e2d\u5fc3\u6027\u5927\u7ea6\u51b3\u5b9a\u4e86\u5176\u88ab\u611f\u67d3\u7684\u98ce\u9669\u3002<\/span><\/p>\n


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    \u57fa\u4e8e\u65f6\u95f4\u5e8f\u5217\u70ed\u95e8\u65b0\u8bcd\u6316\u6398\u7684<\/strong><\/span><\/p>\n

    COVID-19\u516c\u4f17\u89c2\u70b9\u548c\u60c5\u611f\u76d1\u6d4b\u7cfb\u7edf<\/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><\/section>\n
    COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining<\/span>
    <\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11458<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Yixian Zhang, Jieren Chen, Boyi Liu, Yifan Yang, Haocheng Li, Xinyi Zheng, Xi Chen, Tenglong Ren, Naixue Xiong<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u968f\u7740\u65b0\u6d41\u884c\u75c5\u7684\u4f20\u64ad\u548c\u53d1\u5c55\uff0c\u5728\u516c\u4f17\u60c5\u7eea\u4e2d\u8bc6\u522b\u6d41\u884c\u75c5\u7684\u53d8\u5316\u8d8b\u52bf\u5177\u6709\u91cd\u8981\u7684\u53c2\u8003\u4ef7\u503c\u3002\u6211\u4eec\u8bbe\u8ba1\u5e76\u5b9e\u73b0\u4e86\u57fa\u4e8e\u65f6\u95f4\u5e8f\u5217\u65b0\u70ed\u8bcd\u6316\u6398\u7684COVID-19\u6c11\u610f\u76d1\u6d4b\u7cfb\u7edf\u3002\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u7f51\u7edc\u8bdd\u9898\u65f6\u95f4\u7206\u70b8\u7684\u65b0\u8bcd\u7ed3\u6784\u53d1\u73b0\u65b9\u6848\u548c\u4e00\u79cd\u9488\u5bf9COVID-19\u8206\u8bba\u73af\u5883\u7684\u4e2d\u6587\u60c5\u611f\u5206\u6790\u65b9\u6cd5\u3002\u5efa\u7acb\u4e00\u4e2a\u201c Scrapy-Redis-Bloomfilter\u201d\u5206\u5e03\u5f0f\u722c\u866b\u6846\u67b6\u6765\u6536\u96c6\u6570\u636e\u3002\u8be5\u7cfb\u7edf\u53ef\u4ee5\u6839\u636e\u8bc4\u8bba\u5224\u65ad\u8bc4\u8bba\u8005\u7684\u6b63\u9762\u548c\u8d1f\u9762\u60c5\u7eea\uff0c\u8fd8\u53ef\u4ee5\u53cd\u6620\u51fa\u5e0c\u671b\uff0c\u5feb\u4e50\u548c\u6cae\u4e27\u7b49\u4e03\u79cd\u60c5\u7eea\u7684\u6df1\u5ea6\u3002\u6700\u540e\uff0c\u6211\u4eec\u6539\u8fdb\u4e86\u8be5\u7cfb\u7edf\u7684\u60c5\u611f\u5224\u522b\u6a21\u578b\uff0c\u5e76\u5c06COVID-19\u76f8\u5173\u8bc4\u8bba\u7684\u60c5\u611f\u5224\u522b\u9519\u8bef\u4e0eJiagu\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8fdb\u884c\u4e86\u6bd4\u8f83\u3002\u7ed3\u679c\u8868\u660e\uff0c\u8be5\u6a21\u578b\u5177\u6709\u8f83\u597d\u7684\u6cdb\u5316\u80fd\u529b\u548c\u8f83\u5c0f\u7684\u5224\u522b\u8bef\u5dee\u3002\u6211\u4eec\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u5927\u578b\u7684\u6570\u636e\u53ef\u89c6\u5316\u5c4f\u5e55\uff0c\u53ef\u4ee5\u6e05\u6670\u5730\u663e\u793a\u516c\u4f17\u60c5\u7eea\u7684\u8d8b\u52bf\uff0c\u5404\u79cd\u60c5\u7eea\u7c7b\u522b\uff0c\u5173\u952e\u5b57\uff0c\u70ed\u95e8\u8bdd\u9898\u7b49\u7684\u6bd4\u4f8b\uff0c\u5e76\u5145\u5206\u76f4\u89c2\u5730\u53cd\u6620\u8206\u8bba\u7684\u53d1\u5c55\u3002<\/span><\/section>\n


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    Covid-19\uff1a\u5bf9\u6269\u5c55SEIR\u6a21\u578b<\/strong><\/span><\/p>\n

    \u7684<\/strong><\/span>\u5206\u6790\u4ee5\u53ca\u4e0d\u540c\u5e72\u9884\u7b56\u7565\u7684\u6bd4\u8f83<\/strong><\/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

    Covid-19: an analysis of an extended SEIR model and a comparison of different intervention strategies<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11511<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Arghya Das, Abhishek Dhar, Srashti Goyal, Anupam Kundu<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u51c6\u786e\u5efa\u6a21Covid-19\u5927\u6d41\u884c\u7684\u6f14\u53d8\u548c\u5e72\u9884\u7b56\u7565\uff0c\u73b0\u5728\u5df2\u7ecf\u5f71\u54cd\u5230\u4e16\u754c\u4e0a\u51e0\u4e4e\u6bcf\u4e2a\u56fd\u5bb6\uff0c\u8fd9\u662f\u4e00\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u95ee\u9898\u3002\u6211\u4eec\u5728\u8fd9\u91cc\u4ecb\u7ecd\u4e86\u5bf9\u6269\u5c55\u7684\u6613\u611f\u66b4\u9732-\u611f\u67d3-\u6062\u590d\uff08SEIR\uff09\u6a21\u578b\u7684\u5206\u6790\uff0c\u8be5\u6a21\u578b\u8003\u8651\u4e86\u65e0\u75c7\u72b6\u643a\u5e26\u8005\u7684\u5b58\u5728\uff0c\u5e76\u63a2\u8ba8\u4e86\u8bf8\u5982\u793e\u4f1a\u758f\u79bb\uff08SD\uff09\u548c\u68c0\u6d4b\u9694\u79bb\u7b49\u4e0d\u540c\u5e72\u9884\u7b56\u7565\u7684\u6548\u679c\uff08 TQ\uff09\u3002\u4e24\u79cd\u5e72\u9884\u7b56\u7565\uff08SD\u548cTQ\uff09\u8bd5\u56fe\u5c06\u75be\u75c5\u7684\u751f\u6b96\u6570\u91cf\uff08 R_0> 1 \uff09\u964d\u4f4e\u5230\u76ee\u6807\u503c\uff08 R_0 ^  rm target <1 \uff09\uff0c\u4f46\u662f\u6211\u4eec\u91c7\u7528\u4e86\u4e0d\u540c\u7684\u65b9\u5f0f—\u6211\u4eec\u7684\u6a21\u578b\u65b9\u7a0b\u5f0f\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5bf9\u4e8e\u76f8\u540c\u7684\u76ee\u6807\u503c R_0 ^  rm target <1 \uff0cTQ\u5728\u63a7\u5236\u5927\u6d41\u884c\u65b9\u9762\u6bd4\u4ec5\u5b9e\u65bdSD\u7684\u9501\u5b9a\u66f4\u4e3a\u6709\u6548\u3002\u4f46\u662f\uff0c\u8981\u60f3\u4f7fTQ\u53d1\u6325\u4f5c\u7528\uff0c\u5c31\u5fc5\u987b\u57fa\u4e8e\u63a5\u89e6\u8005\u8ffd\u8e2a\uff0c\u5e76\u4e14\u6bcf\u5929\/\u6bcf\u5929\u7684\u6d4b\u8bd5\u91cf\u4e0e\u65b0\u75c5\u4f8b\u6570\/\u6bcf\u5929\u7684\u6bd4\u7387\u5fc5\u987b\u6839\u636e\u611f\u67d3\u8005\u7684\u5e73\u5747\u63a5\u89e6\u91cf\u6765\u8861\u91cf\uff0c\u5728\u4eba\u53e3\u5bc6\u5ea6\u9ad8\uff0c\u793e\u4f1a\u9694\u79bb\u5ea6\u4f4e\u7684\u5730\u533a\uff0c\u8fd9\u4e00\u6bd4\u4f8b\u4f1a\u5f88\u9ad8\u3002\u6211\u4eec\u6307\u51fa\uff0c\u9664 R_0 \u5916\uff0c\u91cd\u8981\u7684\u6570\u91cf\u662f\u7ebf\u6027\u5316\u52a8\u529b\u5b66\u7684\u6700\u5927\u7279\u5f81\u503c\uff0c\u5b83\u53ef\u4ee5\u66f4\u5168\u9762\u5730\u4e86\u89e3\u5e72\u9884\u524d\u540e\u7684\u75be\u75c5\u8fdb\u5c55\u5e76\u89e3\u91ca\u89c2\u5bdf\u5230\u7684\u6570\u636e\u3002\u5f31\u5316\u7684\u6269\u5c55\u5e72\u9884\u7b56\u7565\uff08\u5c06 R_0 \u51cf\u5c11\u5230 1 \u4ee5\u4e0b\uff09\u53ef\u4ee5\u964d\u4f4e\u611f\u67d3\u548c\u6e10\u8fd1\u611f\u67d3\u4eba\u7fa4\u7684\u5cf0\u503c\u3002\u6211\u4eec\u6839\u636e\u75be\u75c5\u53c2\u6570\u63d0\u4f9b\u4e86\u7b80\u5355\u7684\u8868\u8fbe\u5f0f\uff0c\u5e76\u5728\u5370\u5ea6\u8bed\u73af\u5883\u4e2d\u5e94\u7528\u5b83\u4eec\u4ee5\u83b7\u5f97\u5927\u6d41\u884c\u8fc7\u7a0b\u7684\u542f\u53d1\u5f0f\u9884\u6d4b\u3002\u67e5\u770b\u771f\u5b9e\u6570\u636e\uff0c\u6211\u4eec\u53d1\u73b0\u5bf9\u4e8e\u8bb8\u591a\u56fd\u5bb6\uff0c\u8be5\u6a21\u578b\u53ef\u4ee5\u5f88\u597d\u5730\u6355\u83b7\u51e0\u4e2a\u5e7f\u6cdb\u7684\u5b9a\u6027\u7279\u5f81\u3002<\/span><\/section>\n

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

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

    \u91cf\u5316COVID-19<\/strong><\/span><\/p>\n

    \u5927\u6d41\u884c\u5bf9\u79d1\u5b66\u5bb6\u7684\u76f4\u63a5\u5f71\u54cd<\/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><\/strong><\/h3>\n

    Quantifying the Immediate Effects of the COVID-19 Pandemic on Scientists<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11358<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Kyle R. Myers, Wei Yang Tham, Yian Yin, Nina Cohodes, Jerry G. Thursby, Marie C. Thursby, Peter E. Schiffer, Joseph T. Wals, Karim R. Lakhani, Dashun Wang<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6beb\u65e0\u7591\u95ee\uff0cCOVID-19\u5927\u6d41\u884c\u5df2\u7ecf\u7834\u574f\u4e86\u79d1\u5b66\u4e8b\u4e1a\uff0c\u4f46\u662f\u6211\u4eec\u7f3a\u4e4f\u5173\u4e8e\u8fd9\u4e9b\u7834\u574f\u7684\u6027\u8d28\u548c\u4e25\u91cd\u7a0b\u5ea6\u7684\u7ecf\u9a8c\u8bc1\u636e\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u62a5\u544a\u4e86\u4f4d\u4e8e\u7f8e\u56fd\u548c\u6b27\u6d32\u7684\u7814\u7a76\u673a\u6784\u5bf9\u5927\u7ea64,500\u540d\u4e3b\u8981\u7814\u7a76\u4eba\u5458\uff08PI\uff09\u8fdb\u884c\u8c03\u67e5\u7684\u7ed3\u679c\u3002\u8be5\u8c03\u67e5\u4e8e2020\u5e744\u6708\u4e2d\u65ec\u5206\u53d1\uff0c\u5f81\u96c6\u4e86\u6709\u5173\u4fe1\u606f\uff0c\u8bf4\u660e\u79d1\u5b66\u5bb6\u7684\u5de5\u4f5c\u4ece\u5927\u6d41\u884c\u5f00\u59cb\u5c31\u53d1\u751f\u4e86\u600e\u6837\u7684\u53d8\u5316\uff0c\u4ed6\u4eec\u7684\u7814\u7a76\u6210\u679c\u5728\u4e0d\u4e45\u7684\u5c06\u6765\u53ef\u80fd\u53d7\u5230\u7684\u5f71\u54cd\u4ee5\u53ca\u4e2a\u4eba\u7684\u5e7f\u6cdb\u7279\u5f81\u3002\u79d1\u5b66\u5bb6\u62a5\u544a\u8bf4\uff0c\u5e73\u5747\u82b1\u8d39\u5728\u7814\u7a76\u4e0a\u7684\u65f6\u95f4\u6025\u5267\u51cf\u5c11\uff0c\u4f46\u662f\u5b58\u5728\u5f88\u5927\u7684\u5f02\u8d28\u6027\uff0c\u5f88\u5927\u4e00\u90e8\u5206\u62a5\u544a\u6ca1\u6709\u53d8\u5316\u751a\u81f3\u589e\u52a0\u3002\u8fd9\u79cd\u5f02\u8d28\u6027\u7684\u67d0\u4e9b\u539f\u56e0\u662f\u7279\u5b9a\u9886\u57df\u7684\u5dee\u5f02\uff0c\u5176\u4e2d\u4ee5\u5b9e\u9a8c\u5ba4\u4e3a\u57fa\u7840\u7684\u9886\u57df\u53d7\u5230\u7684\u8d1f\u9762\u5f71\u54cd\u6700\u5927\uff0c\u800c\u53e6\u4e00\u90e8\u5206\u539f\u56e0\u662f\u6027\u522b\uff0c\u5973\u6027\u79d1\u5b66\u5bb6\u62a5\u544a\u7684\u4e0b\u964d\u5e45\u5ea6\u66f4\u5927\u3002\u4f46\u662f\uff0c\u5728\u6240\u68c0\u67e5\u7684\u4e2a\u4eba\u7279\u5f81\u4e2d\uff0c\u6700\u5927\u7684\u5e72\u6270\u4e0e\u901a\u5e38\u65e0\u6cd5\u89c2\u5bdf\u7684\u7ef4\u5ea6\u6709\u5173\uff1a\u80b2\u513f\u3002\u62a5\u544a\u5e74\u8f7b\u53d7\u629a\u517b\u8005\u7684\u4e0b\u964d\u5e45\u5ea6\u4e0e\u5b9e\u9a8c\u5ba4\u9886\u57df\u62a5\u544a\u7684\u4e0b\u964d\u5e45\u5ea6\u76f8\u4f3c\uff0c\u5e76\u4e14\u53ef\u4ee5\u89e3\u91ca\u6027\u522b\u5dee\u5f02\u7684\u5f88\u5927\u4e00\u90e8\u5206\u3002\u5728\u5173\u4e8e\u517b\u80b2\u5b50\u5973\u5728\u79d1\u5b66\u5bb6\u5de5\u4f5c\u4e2d\u7684\u4f5c\u7528\u7684\u8bc1\u636e\u5f88\u5c11\u7684\u60c5\u51b5\u4e0b\uff0c\u8fd9\u4e9b\u7ed3\u679c\u51f8\u663e\u4e86\u8fd9\u4e00\u5927\u6d41\u884c\u5f71\u54cd\u79d1\u5b66\u5de5\u4f5c\u4eba\u5458\u7684\u6839\u672c\u548c\u4e0d\u540c\u7684\u65b9\u5f0f\uff0c\u5e76\u4e14\u53ef\u80fd\u5bf9\u5851\u9020\u5bf9\u5927\u6d41\u884c\u5bf9\u79d1\u5b66\u53ca\u5176\u4ee5\u5916\u5f71\u54cd\u7684\u53cd\u5e94\u5177\u6709\u5e7f\u6cdb\u7684\u76f8\u5173\u6027\u3002<\/span><\/section>\n

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

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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4f7f\u7528\u8c03\u6574\u540e\u7684\u65f6\u53d8<\/strong><\/span><\/p>\n

    SIRD\u6a21\u578b\u5bf9<\/strong><\/span>\u610f\u5927\u5229\u7701\u7ea7<\/strong><\/p>\n

    Covid-19<\/strong>\u7684\u6d41\u884c\u75c5\u6570\u636e\u8fdb\u884c\u5efa\u6a21<\/strong><\/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

    Modelling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.12170<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Luisa Ferrari, Giuseppe Gerardi, Giancarlo Manzi, Alessandra Micheletti, Federica Nicolussi, Silvia Salini<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u610f\u5927\u5229\u536b\u751f\u90e8\u7684\u5b98\u65b9\u6570\u636e\u4e0e\u533a\u57df\u4e3b\u7ba1\u90e8\u95e8\u548c\u5404\u5dde\u653f\u5e9c\u7684\u6bcf\u65e5\u5b98\u65b9\u65b0\u95fb\u53d1\u5e03\u4f1a\u7684\u6570\u636e\u76f8\u7ed3\u5408\uff0c\u5bf9\u610f\u5927\u5229\u7701\u7ea7\uff08\u5373EU NUTS-3\uff09\u7ea7\u522b\u7684COVID-19\u611f\u67d3\u7684\u4f20\u64ad\u8fdb\u884c\u5efa\u6a21\u548c\u9884\u6d4b\u3002\u4ece\u5f53\u5730\u62a5\u7eb8\u7f51\u7ad9\u3002\u8fd9\u79cd\u96c6\u6210\u4e3b\u8981\u6d89\u53ca\u6b7b\u4ea1\u6570\u636e\uff0c\u800c\u5b98\u65b9\u6570\u636e\u6e20\u9053\u65e0\u6cd5\u5728NUTS-3\u7ea7\u522b\u83b7\u5f97\u6b7b\u4ea1\u6570\u636e\u3002\u8c03\u6574\u540e\u7684\u65f6\u95f4\u4f9d\u8d56\u6027SIRD\u6a21\u578b\u7528\u4e8e\u9884\u6d4b\u6d41\u884c\u75c5\u7684\u884c\u4e3a\uff0c\u7279\u522b\u662f\u6613\u611f\uff0c\u611f\u67d3\uff0c\u6b7b\u8005\u548c\u5eb7\u590d\u8005\u7684\u6570\u91cf\u3002\u901a\u8fc7\u4e0e\u5b9e\u9645\u6570\u636e\u8fdb\u884c\u6bd4\u8f83\u6765\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    COVID-19\uff1a\u4f7f\u7528\u6709\u504f\u6848\u4f8b<\/strong><\/span><\/p>\n

    \u68c0\u6d4b\u6570\u636e\u5b9e\u65f6\u9884\u6d4b\u518d\u751f\u56e0\u5b50<\/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

    COVID-19: Nowcasting Reproduction Factors Using Biased Case Testing Data<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.12252<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Carlo R. Contaldi<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u53ca\u65f6\u4f30\u8ba1COVID-19\u7e41\u6b96\u56e0\u5b50R \u7684\u5f53\u524d\u503c\u5df2\u6210\u4e3a\u52aa\u529b\u4e3a\u7ba1\u7406\u7b56\u7565\u63d0\u4f9b\u4fe1\u606f\u7684\u4e3b\u8981\u76ee\u6807\u3002R \u662f\u51b3\u7b56\u8005\u5728\u8bbe\u5b9a\u7f13\u89e3\u6c34\u5e73\u65f6\u4f7f\u7528\u7684\u91cd\u8981\u6307\u6807\uff0c\u5bf9\u4e8e\u51c6\u786e\u6a21\u62df\u6d41\u884c\u75c5\u7684\u8fdb\u5c55\u4e5f\u5f88\u91cd\u8981\u3002\u672c\u6587\u7b80\u8981\u4ecb\u7ecd\u4e86\u4e00\u79cd\u4ece\u6709\u504f\u89c1\u7684\u6848\u4f8b\u6d4b\u8bd5\u6570\u636e\u4e2d\u4f30\u7b97 R \u7684\u65b9\u6cd5\u3002\u4f7f\u7528\u6d4b\u8bd5\u6570\u636e\u800c\u4e0d\u662f\u4f4f\u9662\u6216\u6b7b\u4ea1\u6570\u636e\uff0c\u53ef\u4ee5\u5728\u75c7\u72b6\u8fdb\u5c55\u91cf\u8868\u4e0a\u63d0\u4f9b\u66f4\u65e9\u7684\u6307\u6807\u3002\u5f53\u4e0e\u6d41\u884c\u7684\u6307\u6570\u6027\u8d28\u4f5c\u6597\u4e89\u65f6\uff0c\u8fd9\u53ef\u80fd\u975e\u5e38\u91cd\u8981\u3002\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u79cd\u5b9e\u7528\u7684\u4f30\u7b97\u5668\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u4e8e\u82cf\u683c\u5170\u7684\u6848\u4f8b\u6d4b\u8bd5\u6570\u636e\u4ee5\u63a8\u65ad\u5f53\u524d\uff082020\u5e745\u670820\u65e5\uff09\u7684 R \u503c\u4e3a 0.74 \uff0c\u7f6e\u4fe1\u533a\u95f4\u4e3a 95 \uff05 [0.48-0.86] \u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u901a\u8fc7\u5e7f\u4e49SEIR\u6a21\u578b\u5206\u6790<\/strong><\/span><\/p>\n

    \u5df4\u897f\u7684COVID-19\u6d41\u884c\u75c5<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Epidemic analysis of COVID-19 in Brazil by a generalized SEIR model<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11420<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Suzete Afonso, Juarez Azevedo, Mariana Pinheiro<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u5c06\u5e94\u7528\u5e7f\u4e49\u7684SEIR\u6a21\u578b\u6765\u7814\u7a76COVID-19\u5728\u5df4\u897f\u7684\u66b4\u53d1\u3002\u7279\u522b\u662f\uff0c\u6211\u4eec\u60f3\u89e3\u91ca\u4e00\u4e0b\u957f\u671f\u4ee5\u6765\u611f\u67d3\u6c34\u5e73\u4e0a\u5347\u7684\u9884\u6d4b\uff0c\u800c\u8be5\u56fd\u4eba\u53e3\u6700\u591a\u7684\u5dde\u5728\u5f53\u5730\u7684\u5927\u89c4\u6a21\u66b4\u53d1\u91cd\u53e0\u3002\u6839\u636e\u4ee5\u524d\u5728\u4e2d\u56fd\u7206\u53d1\u671f\u95f4\u4f7f\u7528\u7684\u6a21\u578b\u5f97\u51fa\u7684\u65f6\u53d8\u52a8\u6001SEIR\u6a21\u578b\u7528\u4e8e\u5206\u6790\u611f\u67d3\uff0c\u5eb7\u590d\u548c\u6b7b\u4ea1\u7684\u65f6\u95f4\u8f68\u8ff9\u3002\u8be5\u6a21\u578b\u5177\u6709\u968f\u65f6\u95f4\u53d8\u5316\u7684\u53c2\u6570\uff0c\u5e76\u8003\u8651\u4e86\u975e\u7ebf\u6027\u6700\u5c0f\u4e8c\u4e58\u6cd5\u8fdb\u884c\u62df\u5408\u3002\u4ece2020\u5e744\u67088\u65e5\u5f00\u59cb\u7684\u6a21\u62df\u5f97\u51fa\u7684\u7ed3\u8bba\u662f\uff0c\u5728\u5df4\u897f\u8fbe\u5230\u9ad8\u5cf0\u7684\u65f6\u95f4\u5c06\u662f2020\u5e747\u670821\u65e5\uff0c\u7d2f\u8ba1\u611f\u67d3\u75c5\u4f8b\u603b\u6570\u7ea6\u4e3a982,000\u4eba\u3002\u6b64\u5916\uff0c\u4f30\u8ba1\u6700\u7ec8\u6b7b\u4ea1\u603b\u4eba\u6570\u5c06\u8fbe\u5230192K\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u57287\u6708\u4e2d\u65ec\u5de6\u53f3\uff0c\u5df4\u897f\u7684\u6bcf\u65e5\u65b0\u589e\u611f\u67d3\u75c5\u4f8b\u548c\u6b7b\u4ea1\u75c5\u4f8b\u5c06\u8fbe\u5230\u9ad8\u5cf0\uff0c\u67095\u4e07\u4f8b\u611f\u67d3\u75c5\u4f8b\u548c\u8fd16000\u4f8b\u6bcf\u65e5\u6b7b\u4ea1\u75c5\u4f8b\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5229\u7528\u5143\u80de\u81ea\u52a8\u673a\u5b9e\u73b0\u6d77\u5fb7\u5e73\u8861<\/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

    Towards the Heider balance with a cellular automaton<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11402<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Krzysztof Malarz, Maciej Wo\u0142oszyn, Krzysztof Ku\u0142akowski<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u793e\u4f1a\u7f51\u7edc\u7684\u7ed3\u6784\u5e73\u8861\u72b6\u6001\uff08\u4e5f\u79f0\u4e3a\u201c Heider\u5e73\u8861\u201d\uff09\u7ecf\u5e38\u5728\u793e\u4f1a\u5fc3\u7406\u5b66\u548c\u793e\u4f1a\u7269\u7406\u5b66\u4e2d\u8ba8\u8bba\u3002\u5728\u8fd9\u79cd\u72b6\u6001\u4e0b\uff0c\u7f51\u7edc\u8282\u70b9\u4e0a\u7684\u53c2\u4e0e\u8005\u5c06\u5176\u4ed6\u4eba\u5f52\u7c7b\u4e3a\u654c\u4eba\u6216\u670b\u53cb\u3002\u56e0\u6b64\uff0c\u7f51\u7edc\u5305\u542b\u4e24\u79cd\u94fe\u63a5\uff1a\u6b63\u5411\u548c\u8d1f\u5411\u3002\u5728\u8fd9\u91cc\uff0c\u8bbe\u8ba1\u5e76\u7814\u7a76\u4e86\u4e00\u79cd\u65b0\u7684\u5143\u80de\u81ea\u52a8\u673a\uff0c\u5b83\u6a21\u4eff\u4e86\u65f6\u95f4\u5411\u7ed3\u6784\u5e73\u8861\u7684\u6f14\u53d8\u3002\u81ea\u52a8\u673a\u662f\u786e\u5b9a\u6027\u7684\u548c\u540c\u6b65\u7684\u3002\u4ecb\u8d28\u662f\u4e09\u89d2\u5f62\u7f51\u683c\uff0c\u5176\u4e2d\u5220\u9664\u4e86\u90e8\u5206\u94fe\u63a5 \u3002\u6211\u4eec\u5206\u6790\u4e86\u4e0d\u5e73\u8861\u4e09\u5408\u4f1a\u7684\u6570\u91cf\uff08\u53c2\u6570\u5316\u4e3a\u201c\u80fd\u91cf\u201d\uff09\uff0c\u5e73\u8861\u4e09\u5408\u4f1a\u7684\u9891\u7387\u4ee5\u53ca\u5b83\u4eec\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3002\u65f6\u95f4\u7684\u6f14\u53d8\u589e\u5f3a\u4e86\u5e73\u8861\u4e09\u5408\u4f1a\u7684\u5c40\u90e8\u76f8\u5173\u6027\u3002\u53d1\u73b0\u4e0d\u5e73\u8861\u4e09\u5408\u4f1a\u7684\u672c\u5730\u914d\u7f6e\uff0c\u5b83\u4eec\u4ee5\u4e24\u4e2a\u65f6\u95f4\u6b65\u957f\u7684\u5468\u671f\u95ea\u70c1\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u540c\u8d28\u6811\u4e0ak\u7a92\u7684<\/strong><\/span><\/p>\n

    Maki-Thompson\u8c23\u8a00\u6a21\u578b<\/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

    The Maki-Thompson rumor model with k-stifling on homogeneous trees<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11440<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Valdivino V. Junior, Pablo M. Rodriguez, Adalto Speroto<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u540c\u8d28\u6811\u4e0a\u7684Maki-Thompson\u8c23\u8a00\u6a21\u578b\u3002\u8be5\u6a21\u578b\u7684\u57fa\u672c\u7248\u672c\u53ef\u4ee5\u901a\u8fc7\u5047\u8bbe\u5c06\u7531\u56fe\u8868\u793a\u7684\u603b\u4f53\u7ec6\u5206\u4e3a\u4e09\u7c7b\u4e2a\u4f53\u6765\u5b9a\u4e49\uff1a\u65e0\u77e5\u8005\uff0c\u4f20\u64ad\u8005\u548c\u6df7\u6742\u8005\u3002\u6563\u5e03\u8005\u5c06\u8c23\u8a00\u544a\u8bc9\u5176\u4efb\u4f55\uff08\u6700\u8fd1\u7684\uff09\u65e0\u77e5\u90bb\u5c45\uff0c\u6bd4\u7387\u4e3a1\u3002\u4ee5\u76f8\u540c\u7684\u901f\u7387\uff0c\u5728\u4e0e\u5176\u4ed6\uff08\u6700\u90bb\u8fd1\u7684\uff09\u4f20\u64ad\u8005\u6216\u7ec6\u811a\u6be1\u63a5\u89e6\u540e\uff0c\u4f20\u64ad\u8005\u6210\u4e3a\u4e00\u4e2a\u7a92\u5668\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u5728\u5747\u8d28\u6811\u4e0a\u7814\u7a76\u4e86\u8be5\u6a21\u578b\uff0c\u8be5\u6811\u88ab\u6784\u9020\u4e3a\u8fde\u7eed\u65f6\u95f4\u7684\u9a6c\u5c14\u53ef\u592b\u94fe\uff0c\u5e76\u4e14\u5c06\u6211\u4eec\u7684\u5206\u6790\u6269\u5c55\u5230\u6cdb\u5316\uff0c\u5728\u8fd9\u79cd\u6cdb\u5316\u4e2d\uff0c\u6bcf\u4e2a\u4f20\u64ad\u8005\u5728\u6d89\u53ca\u7ed9\u5b9a\u6570\u91cf\u7684\u7a92\u606f\u7ecf\u5386\u540e\u90fd\u505c\u6b62\u4f20\u64ad\u8c23\u8a00\u3002\u6211\u4eec\u7814\u7a76\u4e86\u8c23\u8a00\u706d\u7edd\u6216\u4ee5\u6b63\u6982\u7387\u5e78\u5b58\u7684\u5145\u5206\u6761\u4ef6\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5b66\u672f\u671f\u520a\u4e2d\u7684\u4ee4\u724c\u7ba1\u7406\u6ce8\u518c\uff1a<\/strong><\/span><\/p>\n

    \u533a\u5757\u94fe\u9047\u5230\u65e0\u5f62\u5927\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><\/strong><\/h3>\n

    Token-curated registry (TCR) in a scholarly journal: blockchain meets invisible colleges<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11534<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Artyom Kosmarski, Nikolay Gordiychuk<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4e3a\u5b66\u672f\u671f\u520a\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u9896\u7684\u6846\u67b6\uff0c\u5373\u4ee4\u724c\u7ba1\u7406\u7684\u6ce8\u518c\uff08TCR\uff09\u3002\u8be5\u6a21\u578b\u8d77\u6e90\u4e8e\u533a\u5757\u94fe\u548c\u52a0\u5bc6\u7ecf\u6d4e\u5b66\u9886\u57df\uff0c\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u5206\u6563\u7684\u7cfb\u7edf\uff0c\u5176\u4e2d\u4f7f\u7528\u4ee4\u724c\uff08\u6570\u5b57\u8d27\u5e01\uff09\u6765\u6fc0\u52b1\u4fe1\u606f\u7684\u8d28\u91cf\u7ba1\u7406\u3002TCR\u662f\u4e00\u79cd\u81ea\u52a8\u65b9\u5f0f\uff0c\u53ef\u4ee5\u521b\u5efa\u4efb\u4f55\u79cd\u7c7b\u7684\u5217\u8868\uff0c\u5728\u8fd9\u4e9b\u5217\u8868\u4e2d\uff0c\u901a\u8fc7\u6295\u7968\u505a\u51fa\u51b3\u5b9a\uff08\u65e0\u8bba\u662f\u5426\u5305\u542bN\uff09\uff0c\u90fd\u4f1a\u7ed9\u9009\u6c11\u5e26\u6765\u5229\u76ca\u6216\u635f\u5931\u3002\u5728\u5b66\u672f\u671f\u520a\u4e2d\uff0cTCR\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u79cd\u5de5\u5177\uff0c\u5728\u8981\u53d1\u8868\u7684\u8bba\u6587\u4e0a\u5f15\u5165\u793e\u533a\u4e3b\u5bfc\u7684\u51b3\u5b9a\uff0c\u4ece\u800c\u9f13\u52b1\u4f5c\u8005\u548c\u5ba1\u7a3f\u4eba\u66f4\u79ef\u6781\u5730\u53c2\u4e0e\u7f16\u8f91\u653f\u7b56\uff0c\u5e76\u9610\u660e\u5c06\u671f\u520a\u4f5c\u4e3a\u4ff1\u4e50\u90e8\u7684\u60f3\u6cd5\u3002TCR\u8fd8\u53ef\u4ee5\u63d0\u4f9b\u4e00\u79cd\u65b0\u9896\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u4ee5\u89e3\u51b3\u7f16\u8f91\u504f\u89c1\u548c\u5ba1\u7a3f\u4eba\u7f3a\u4e4f\u5956\u52b1\/\u6fc0\u52b1\u7684\u95ee\u9898\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8ba8\u8bba\u4e86TCR\u7684\u6838\u5fc3\u539f\u5219\uff0c\u5176\u6280\u672f\u548c\u6587\u5316\u57fa\u7840\uff0c\u6700\u540e\u5206\u6790\u4e86\u5b83\u53ef\u80fd\u7ed9\u5b66\u672f\u51fa\u7248\u5e26\u6765\u7684\u98ce\u9669\u548c\u6311\u6218\u3002<\/span><\/section>\n


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

    \n
    \n
    <\/p>\n

    \u4eba\u5de5\u591a\u5c42\u793e\u4f1a\u5408\u4f5c\u72e9\u730e\u7684\u6f14\u53d8<\/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

    Evolution of Cooperative Hunting in Artificial Multi-layered Societies<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11580<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Honglin Bao, Wolfgang Banzhaf<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5408\u4f5c\u884c\u4e3a\u7684\u590d\u6742\u6027\u662f\u57fa\u4e8e\u591a\u4e3b\u4f53\u7684\u793e\u4f1a\u6a21\u62df\u4e2d\u7684\u5173\u952e\u95ee\u9898\u3002\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u4e3b\u4f53\u7684\u6a21\u578b\u6765\u7814\u7a76\u4eba\u5de5\u793e\u4f1a\u4e2d\u5408\u4f5c\u72e9\u730e\u884c\u4e3a\u7684\u6f14\u53d8\u3002\u5728\u8be5\u6a21\u578b\u4e2d\uff0c\u5c06\u96c4\u9e7f\u7684\u6807\u51c6\u72e9\u730e\u535a\u5f08\u4fee\u6539\u4e3a\u5177\u6709\u793e\u4f1a\u7b49\u7ea7\u548c\u60e9\u7f5a\u7684\u65b0\u60c5\u51b5\u3002\u4e3b\u4f53\u5546\u793e\u4f1a\u5206\u4e3a\u4e0a\u7ea7\u548c\u4e0b\u7ea7\u591a\u4e2a\u5c42\u6b21\u3002\u5728\u6bcf\u4e00\u5c42\u4e2d\uff0c\u793e\u4f1a\u88ab\u5206\u4e3a\u591a\u4e2a\u96c6\u7fa4\u3002\u4e3b\u7ba1\u5728\u672c\u5730\u63a7\u5236\u96c6\u7fa4\u4e2d\u7684\u6240\u6709\u4e0b\u5c5e\u3002\u96c6\u7fa4\u4e2d\u7684\u4e0b\u5c5e\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u5f7c\u6b64\u4e92\u52a8\uff0c\u5e76\u5c06\u5b66\u4e60\u4fe1\u606f\u62a5\u544a\u7ed9\u5176\u76f8\u5e94\u7684\u4e3b\u7ba1\u3002\u4e3b\u7ba1\u901a\u8fc7\u57fa\u4e8e\u5173\u8054\u7684\u91cd\u590d\u805a\u5408\u4ee5\u53ca\u4e0e\u5176\u4ed6\u4e3b\u7ba1\u7684\u4fe1\u606f\u4ea4\u6362\u6765\u5904\u7406\u6240\u62a5\u544a\u7684\u4fe1\u606f\uff0c\u7136\u540e\u5c06\u7ecf\u8fc7\u91cd\u65b0\u5904\u7406\u7684\u4fe1\u606f\u4f20\u9012\u7ed9\u4e0b\u7ea7\u4f5c\u4e3a\u6307\u5bfc\u3002\u4e0b\u5c5e\u4f9d\u6b21\u6839\u636e\u6307\u5bfc\u66f4\u65b0\u5b66\u4e60\u4fe1\u606f\uff0c\u9075\u5faa\u83b7\u80dc\uff0c\u5931\u8d25\uff0c\u8f6c\u79fb\u7b56\u7565\u3002\u8fdb\u884c\u4e86\u5b9e\u9a8c\uff0c\u4ee5\u6d4b\u8bd5\u8fd9\u79cd\u5177\u6709\u4e0d\u540c\u53c2\u6570\u7684\u95ed\u73af\u534a\u76d1\u7763\u7d27\u6025\u60c5\u51b5\u7cfb\u7edf\u4e2d\u534f\u4f5c\u7684\u6f14\u53d8\u3002\u6211\u4eec\u8fd8\u5c06\u7814\u7a76\u6b64\u535a\u5f08\u8bbe\u7f6e\u4e2d\u7684\u53d8\u5316\u548c\u76f8\u53d8\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8eZipf\u5c3a\u5ea6\u6307\u6570\u63a2\u7d22\u57ce\u5e02\u5316\u6c34\u5e73<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Exploring the Level of Urbanization Based on Zipf\u2019s Scaling Exponent<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11719<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Yanguang Chen<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u57ce\u5e02\u7684\u7b49\u7ea7\u89c4\u6a21\u5206\u5e03\u9075\u5faa\u9f50\u666e\u592b\u5b9a\u5f8b\uff0c\u9f50\u666e\u592b\u5c3a\u5ea6\u6307\u6570\u901a\u5e38\u8d8b\u4e8e\u6052\u5b9a1\u3002\u8fd9\u4f3c\u4e4e\u662f\u4e00\u4e2a\u666e\u904d\u89c4\u5219\u3002\u4f46\u662f\uff0c\u6700\u8fd1\u7684\u6570\u503c\u5b9e\u9a8c\u8868\u660e\uff0c\u63a5\u8fd11\u7684Zipf\u6307\u6570\u4e0e\u4eba\u53e3\u5927\u56fd\u7684\u57ce\u5e02\u5316\u6c34\u5e73\u4e4b\u95f4\u5b58\u5728\u77db\u76fe\u3002\u57fa\u4e8e\u903b\u8f91\u63a8\u7406\uff0c\u8ba1\u7b97\u5206\u6790\u548c\u7ecf\u9a8c\u8bc1\u636e\uff0c\u672c\u6587\u81f4\u529b\u4e8e\u63a2\u8ba8\u57ce\u5e02\u5316\u6c34\u5e73\u4e0eZipf\u89c4\u6a21\u6307\u6570\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u4f7f\u7528\u6b27\u62c9\u516c\u5f0f\u548c\u60e0\u66f4\u65af\u7ea7\u6570\u8fdb\u884c\u6570\u5b66\u53d8\u6362\u3002\u5bf9\u65e7\u95ee\u9898\u7684\u7814\u7a76\u4ea7\u751f\u4e86\u65b0\u53d1\u73b0\u3002\uff081\uff09\u5982\u679cZipf\u5c3a\u5ea6\u6307\u6570\u7b49\u4e8e1\uff0c\u5219\u57ce\u5e02\u5316\u6c34\u5e73\u662f\u57ce\u5e02\u6570\u91cf\u7684\u5bf9\u6570\u51fd\u6570\u3002\u5bf9\u4e8e\u4eba\u53e3\u5927\u56fd\uff0c\u57ce\u5e02\u5316\u7387\u4e0d\u80fd\u8d85\u8fc750\uff05\u3002\uff082\uff09\u5982\u679cZipf\u5c3a\u5ea6\u6307\u6570\u5c0f\u4e8e1\uff0c\u5219\u57ce\u5e02\u5316\u6c34\u5e73\u4e0e\u57ce\u5e02\u6570\u91cf\u4e4b\u95f4\u5b58\u5728\u8fd1\u4f3c\u7684\u5c3a\u5ea6\u5173\u7cfb\u3002\u5047\u8bbe\u9876\u7ea7\u57ce\u5e02\u8db3\u591f\u5927\uff0c\u4eba\u53e3\u5927\u56fd\u7684\u57ce\u5e02\u5316\u6c34\u5e73\u53ef\u4ee5\u8d85\u8fc780\uff05\u3002\u53ef\u4ee5\u5f97\u51fa\u4ee5\u4e0b\u7ed3\u8bba\u3002\u9996\u5148\uff0c\u7531\u4e8e\u4eba\u53e3\u5927\u56fd\u7684\u57ce\u5e02\u5316\u6c34\u5e73\u4e0e\u57ce\u5e02\u6570\u91cf\u4e4b\u95f4\u7684\u7ade\u4e89\uff0c\u7b49\u7ea7\u89c4\u6a21\u7684\u5c3a\u5ea6\u6307\u6570\u5c06\u5c0f\u4e8e1\uff0c\u6216\u8005\u5c3a\u5ea6\u8303\u56f4\u5206\u4e3a\u4e24\u90e8\u5206\u3002\u5176\u6b21\uff0c\u7531\u4e8e\u57ce\u5e02\u6570\u91cf\u4e0e\u6700\u5927\u57ce\u5e02\u7684\u57ce\u5e02\u89c4\u6a21\u4e4b\u95f4\u7684\u7ade\u4e89\uff0c\u4e2d\u5c0f\u56fd\u5bb6\u4e2d\u57ce\u5e02\u7684\u7b49\u7ea7\u89c4\u6a21\u5206\u5e03\u53ef\u80fd\u4f1a\u53d8\u4e3a\u7075\u957f\u7c7b\u52a8\u7269\u5206\u5e03\u3002\u8fd9\u9879\u7814\u7a76\u663e\u793a\u4e86\u67e5\u770b\u9f50\u666e\u592b\u57ce\u5e02\u89c4\u6a21\u5206\u5e03\u548c\u57ce\u5e02\u5316\u52a8\u6001\u89c4\u5f8b\u7684\u65b0\u65b9\u6cd5\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8e\u7ea6\u675f\u6ee1\u610f\u4e3b\u4f53\u7684\u5b8f\u89c2\u7ecf\u6d4e\u6a21\u578b<\/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

    A constraint-satisfaction agent-based model for the macroeconomy<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11748<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Dhruv Sharma, Jean-Philippe Bouchaud, Marco Tarzia, Francesco Zamponi<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u5f15\u5165\u4e86\u4e00\u4e2a\u57fa\u4e8e\u4e3b\u4f53\u7684\u539f\u578b\u5b8f\u89c2\u7ecf\u6d4e\u6a21\u578b\uff0c\u5176\u6838\u5fc3\u662f\u9884\u7b97\u7ea6\u675f\u3002\u8be5\u6a21\u578b\u4e0e\u4e00\u7c7b\u7ea6\u675f\u6ee1\u8db3\u95ee\u9898\u6709\u5173\uff0c\u5df2\u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\u8fdb\u884c\u4e86\u6df1\u5165\u7814\u7a76\u3002\u901a\u8fc7\u6539\u53d8\u6bcf\u4e2a\u4e3b\u4f53\u5546\u5728\u8fdd\u7ea6\u4e4b\u524d\u53ef\u4ee5\u7d2f\u79ef\u7684\u503a\u52a1\u6570\u91cf\uff0c\u6211\u4eec\u786e\u5b9a\u4e86\u73a9\u5177\u7ecf\u6d4e\u7684\u4e09\u79cd\u4e0d\u540c\u5236\u5ea6\u3002\u5728\u5bf9\u503a\u52a1\u7684\u7ea6\u675f\u975e\u5e38\u5bbd\u677e\u7684\u60c5\u51b5\u4e0b\uff0c\u5b58\u5728\u5bfc\u81f4\u540c\u6b65\u7834\u4ea7\u6d6a\u6f6e\u7684\u5185\u751f\u6027\u5371\u673a\u3002\u5728\u503a\u52a1\u7d27\u7f29\u7684\u76f8\u53cd\u5236\u5ea6\u4e0b\uff0c\u7834\u4ea7\u7387\u6781\u9ad8\uff0c\u7ecf\u6d4e\u4ecd\u7136\u7f3a\u4e4f\u7ed3\u6784\u3002\u5728\u4e2d\u95f4\u4f53\u5236\u4e0b\uff0c\u7ecf\u6d4e\u7a33\u5b9a\uff0c\u7834\u4ea7\u7387\u6781\u4f4e\uff0c\u6ca1\u6709\u603b\u4f53\u5371\u673a\u3002\u7b2c\u4e09\u79cd\u673a\u5236\u8868\u73b0\u51fa\u4e30\u5bcc\u7684\u73b0\u8c61\u5b66\uff1a\u7cfb\u7edf\u4ee5\u4e00\u7ec4\u5ec9\u4ef7\u548c\u6602\u8d35\u7684\u5546\u54c1\uff08\u5373\u67d0\u79cd\u201c\u7269\u79cd\u201d\uff09\u81ea\u53d1\u4e14\u52a8\u6001\u5730\u81ea\u6211\u7ec4\u7ec7\uff0c\u5176\u5f00\u5173\u7531\u968f\u673a\u6ce2\u52a8\u548c\u53cd\u9988\u56de\u8def\u89e6\u53d1\u3002\u6211\u4eec\u7684\u5206\u6790\u8bc1\u5b9e\u4e86\u503a\u52a1\u6c34\u5e73\u5728\u7ecf\u6d4e\u7a33\u5b9a\u4e2d\u7684\u6838\u5fc3\u4f5c\u7528\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u65f6\u6ede\u9884\u7b97\u5f71\u54cd\u6700\u5927\u5316<\/strong><\/span><\/p>\n

    \u7684\u8fd1\u4f3c\u8fb9\u9645\u6269\u5c55\u8ba1\u7b97\u65b9\u6cd5<\/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

    An Approximate Marginal Spread Computation Approach for the Budgeted Influence Maximization with Delay<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11763<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u5e26\u6709\u65f6\u6ede\u95ee\u9898\u7684\u9884\u7b97\u5f71\u54cd\u6700\u5927\u5316\u95ee\u9898\uff0c\u8be5\u6587\u732e\u7684\u6570\u91cf\u6709\u9650\u3002\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u8fd1\u4f3c\u8fb9\u9645\u6269\u5c55\u8ba1\u7b97 mbox -\u7684\u65b9\u6cd5\u6765\u89e3\u51b3\u6b64\u95ee\u9898\u3002\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u5df2\u7ecf\u7528\u4e09\u4e2a\u57fa\u51c6\u793e\u4f1a\u7f51\u7edc\u6570\u636e\u96c6\u5b9e\u65bd\uff0c\u5e76\u5c06\u83b7\u5f97\u7684\u7ed3\u679c\u4e0e\u6587\u732e\u4e2d\u7684\u73b0\u6709\u65b9\u6cd5\u8fdb\u884c\u4e86\u6bd4\u8f83\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u8be5\u65b9\u6cd5\u80fd\u591f\u9009\u62e9\u79cd\u5b50\u8282\u70b9\uff0c\u4ece\u800c\u5728\u5408\u7406\u7684\u8ba1\u7b97\u65f6\u95f4\u4e0b\u4ea7\u751f\u66f4\u591a\u7684\u5f71\u54cd\u8282\u70b9\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u65f6\u7a7a\u7f51\u7edc\u6a21\u4f53\uff1a<\/strong><\/span><\/p>\n

    \u6a21\u578b\u3001\u5c40\u9650\u6027\u3001\u8bc4\u4f30\u65b9\u6cd5<\/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

    Temporal Network Motifs: Models, Limitations, Evaluation<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11817<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Penghang Liu (1), Valerio Guarrasi (2), A. Erdem Sar\u0131y\u00fcce (1) ((1) University at Buffalo, (2) Sapienza University of Rome)<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u7814\u7a76\u5e26\u6709\u5c11\u91cf\u8282\u70b9\/\u8fb9\uff08\u5373\u6a21\u4f53\uff09\u7684\u5c0f\u5b50\u56fe\u7684\u9891\u7387\u548c\u5206\u5e03\u662f\u4e00\u79cd\u6709\u6548\u7684\u9759\u6001\u7f51\u7edc\u5206\u6790\u65b9\u6cd5\u3002\u6bcd\u9898\u9a71\u52a8\u7684\u5206\u6790\u5bf9\u4e8e\u65f6\u95f4\u7f51\u7edc\u4e5f\u5f88\u6709\u7528\uff0c\u5728\u8be5\u65f6\u95f4\u7f51\u7edc\u4e2d\uff0c\u7531\u4e8e\u8fb9\u4e0a\u7684\u5176\u4ed6\u65f6\u95f4\u4fe1\u606f\uff0c\u6a21\u4f53\u7684\u6570\u91cf\u660e\u663e\u66f4\u5927\u3002\u8fd9\u79cd\u591a\u6837\u6027\u4f7f\u5f97\u8bbe\u8ba1\u53ef\u4ee5\u8003\u8651\u65f6\u95f4\u6027\u7684\u6240\u6709\u65b9\u9762\u7684\u65f6\u95f4\u4e3b\u9898\u6a21\u578b\u5177\u6709\u6311\u6218\u6027\u3002\u5728\u6587\u732e\u4e2d\uff0c\u5148\u524d\u7684\u4f5c\u54c1\u5df2\u7ecf\u4ecb\u7ecd\u4e86\u5904\u7406\u4e0d\u540c\u7279\u5f81\u7684\u5404\u79cd\u6a21\u578b\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u6bd4\u8f83\u4e86\u73b0\u6709\u7684\u65f6\u95f4\u4e3b\u9898\u6a21\u578b\uff0c\u5e76\u8bc4\u4f30\u4e86\u5728\u6587\u732e\u4e2d\u88ab\u5ffd\u7565\u7684\u65f6\u95f4\u7f51\u7edc\u7684\u5404\u4e2a\u65b9\u9762\u3002\u6211\u4eec\u9996\u5148\u8c03\u67e5\u56db\u4e2a\u65f6\u95f4\u4e3b\u9898\u6a21\u578b\uff0c\u5e76\u5f3a\u8c03\u5b83\u4eec\u4e4b\u95f4\u7684\u5dee\u5f02\u3002\u7136\u540e\uff0c\u6211\u4eec\u8bc4\u4f30\u8fd9\u4e9b\u6a21\u578b\u76f8\u5bf9\u4e8e\u65f6\u95f4\u611f\u5e94\u548c\u65f6\u5e8f\u7ea6\u675f\u7684\u4f18\u52bf\u548c\u5c40\u9650\u6027\u3002\u6b64\u5916\uff0c\u6211\u4eec\u5efa\u8bae\u4f7f\u7528\u4e00\u79cd\u65b0\u7684\u955c\u5934\uff0c\u5373\u4e8b\u4ef6\u5bf9\uff0c\u6765\u7814\u7a76\u65f6\u6001\u6a21\u4f53\u4ee5\u7814\u7a76\u56e0\u679c\u5173\u7cfb\u3002\u6211\u4eec\u76f8\u4fe1\uff0c\u6211\u4eec\u7684\u6bd4\u8f83\u8c03\u67e5\u548c\u5e7f\u6cdb\u7684\u8bc4\u4f30\u5c06\u4fc3\u8fdb\u5bf9\u65f6\u6001\u7f51\u7edc\u4e3b\u9898\u6a21\u578b\u7684\u7814\u7a76\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u82f1\u56fd2017\u5e74\u548c2019\u5e74\u5927\u9009<\/strong><\/span><\/p>\n

    \u6c11\u610f\u6d4b\u9a8c\u7684\u968f\u673a\u5fae\u5206\u65b9\u7a0b\u65b9\u6cd5<\/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

    A stochastic differential equation approach to the analysis of the UK 2017 and 2019 general election polls<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11953<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Mark Levene, Trevor Fenner<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u4eba\u7c7b\u52a8\u529b\u5b66\u548c\u793e\u4f1a\u7269\u7406\u5b66\u5efa\u7acb\u5728\u7edf\u8ba1\u6a21\u578b\u7684\u57fa\u7840\u4e0a\uff0c\u53ef\u4ee5\u63ed\u793a\u5e76\u52a0\u6df1\u6211\u4eec\u5bf9\u793e\u4f1a\u73b0\u8c61\u7684\u7406\u89e3\u3002\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u968f\u673a\u5fae\u5206\u65b9\u7a0b\u7684\u751f\u6210\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u4f7f\u6211\u4eec\u80fd\u591f\u4e3a2017\u5e74\u548c2019\u5e74\u82f1\u56fd\u5927\u9009\u4e4b\u524d\u7684\u6c11\u610f\u6d4b\u9a8c\u5efa\u6a21\uff0c\u5e76\u505a\u51fa\u4e0e\u9009\u4e3e\u5b9e\u9645\u7ed3\u679c\u76f8\u5173\u7684\u9884\u6d4b\u3002\u5728\u5bf9\u6c11\u610f\u8c03\u67e5\u7ed3\u679c\u7684\u65f6\u95f4\u5e8f\u5217\u8fdb\u884c\u7b80\u8981\u5206\u6790\u4e4b\u540e\uff0c\u6211\u4eec\u63d0\u4f9b\u4e86\u7ecf\u9a8c\u8bc1\u636e\uff0c\u5373\u91d1\u878d\u5efa\u6a21\u4e2d\u7ecf\u5e38\u4f7f\u7528\u7684\u4f3d\u9a6c\u5206\u5e03\u9002\u5408\u8be5\u65f6\u95f4\u5e8f\u5217\u7684\u8fb9\u9645\u5206\u5e03\u3002\u901a\u8fc7\u4f7f\u7528Euler-Maruyama\u65b9\u6cd5\u6a21\u62df\u65f6\u95f4\u5e8f\u5217\uff0c\u6d4b\u91cf\u5177\u6709\u5e73\u5747\u7edd\u5bf9\u8bef\u5dee\u548c\u5747\u65b9\u6839\u8bef\u5dee\u7684\u9884\u6d4b\u8bef\u5dee\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u8be5\u6a21\u578b\u5bf9\u5b9e\u9645\u9009\u4e3e\u7ed3\u679c\u5177\u6709\u826f\u597d\u7684\u9884\u6d4b\u80fd\u529b\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4ee3\u7406\u7ade\u4e89\u793e\u4f1a\u4e2d\u7684<\/strong><\/span><\/p>\n

    \u81ea\u6211\u8bf1\u5bfc\u7684\u9636\u7ea7\u5206\u5c42\uff1a<\/strong><\/span><\/p>\n

    \u5b58\u5728\u5ac9\u5992\u65f6\u7684\u7eb3\u4ec0\u7a33\u5b9a\u6027<\/strong><\/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

    Self induced class stratification in competitive societies of agents: Nash stability in the presence of envy<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11966<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Claudius Gros<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5f53\u5728\u7ade\u4e89\u793e\u4f1a\u4e2d\u4ea7\u751f\u652f\u4ed8\u56de\u62a5\u5dee\u5f02\u65b9\u9762\u7684\u4e0d\u5e73\u7b49\u65f6\uff0c\u53ef\u4ee5\u7fa1\u6155\u6bd4\u8f83\u5956\u52b1\u7684\u503e\u5411\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5ac9\u5992\u7a0b\u5ea6\u7684\u63d0\u9ad8\u4e0d\u53ef\u907f\u514d\u5730\u5bfc\u81f4\u4e86\u81ea\u6211\u8bf1\u5bfc\u7684\u4e0b\u5c42\u9636\u7ea7\u548c\u4e0a\u5c42\u9636\u7ea7\u7684\u5206\u79bb\u3002\u73ed\u7ea7\u5206\u5c42\u662fNash\u7a33\u5b9a\u4e14\u4e25\u683c\u7684\uff0c\u540c\u4e00\u73ed\u7ea7\u7684\u6210\u5458\u83b7\u5f97\u76f8\u540c\u7684\u5956\u52b1\u3002\u4e0a\u5c42\u9636\u7ea7\u7684\u4e3b\u4f53\u4eba\u53ea\u73a9\u7eaf\u7cb9\u7684\u7b56\u7565\uff0c\u6240\u6709\u4e0b\u5c42\u9636\u7ea7\u7684\u4e3b\u4f53\u4eba\u5219\u662f\u540c\u4e00\u6df7\u5408\u7b56\u7565\u3002\u4e0a\u7b49\u7279\u5de5\u7684\u6bd4\u4f8b\u968f\u7740\u5ac9\u5992\u7a0b\u5ea6\u7684\u589e\u52a0\u800c\u9010\u6e10\u964d\u4f4e\uff0c\u76f4\u5230\u53ea\u5269\u4e0b\u4e00\u4e2a\u4e0a\u7b49\u7279\u5de5\u3002\u63d0\u51fa\u4e86\u6570\u503c\u6a21\u62df\u548c\u57fa\u672c\u53c2\u8003\u6a21\u578b\uff08\u8d2d\u7269\u9ebb\u70e6\u6a21\u578b\uff09\u7684\u5b8c\u6574\u5206\u6790\u5904\u7406\u3002\u9636\u7ea7\u5206\u5c42\u793e\u4f1a\u7684\u7279\u6027\u662f\u666e\u904d\u7684\uff0c\u53ea\u80fd\u901a\u8fc7\u57fa\u672c\u6548\u7528\u51fd\u6570\u95f4\u63a5\u63a7\u5236\uff0c\u8fd9\u610f\u5473\u7740\u9636\u7ea7\u5206\u5c42\u793e\u4f1a\u672c\u8d28\u4e0a\u662f\u62b5\u6297\u653f\u6cbb\u63a7\u5236\u7684\u3002\u8ba8\u8bba\u4e86\u5bf9\u4eba\u7c7b\u793e\u4f1a\u7684\u5f71\u54cd\u3002\u9700\u8981\u6307\u51fa\u7684\u662f\uff0c\u5f53\u793e\u4f1a\u7ade\u4e89\u65e5\u8d8b\u6fc0\u70c8\u65f6\uff0c\u5ac9\u5992\u7684\u5f71\u54cd\u5c31\u4f1a\u653e\u5927\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u968f\u673a\u77e9\u9635\u5728\u8f6f\u8c31\u4e2d\u7684\u5e94\u7528<\/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

    Random matrices applications to soft spectra<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.11968<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Rongrong Xie, Weibing Deng, Mauricio P. Pato<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6700\u8fd1\u5df2\u7ecf\u53d1\u73b0\uff0c\u8c31\u7edf\u8ba1\u7406\u8bba\u7684\u65b9\u6cd5\u53ef\u4ee5\u5728\u8fdc\u79bb\u54c8\u5bc6\u987f\u7cfb\u7edf\u6c34\u5e73\u7684\u8c31\u5206\u6790\u4e2d\u6210\u4e3a\u6709\u7528\u7684\u5de5\u5177\u3002\u51e0\u4e2a\u4f8b\u5b50\u6765\u81ea\u9886\u57df\uff0c\u4f8b\u5982\u5b9a\u91cf\u8bed\u8a00\u5b66\u548c\u805a\u5408\u7269\u3002\u672c\u7814\u7a76\u7684\u76ee\u7684\u662f\u901a\u8fc7\u6267\u884c\u6d4b\u91cf\u672c\u5730\u548c\u8fdc\u7a0b\u7edf\u8ba1\u6570\u636e\u7684\u66f4\u5168\u9762\u7684\u8c31\u5206\u6790\u6765\u52a0\u6df1\u8fd9\u79cd\u65b9\u6cd5\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u4f5c\u4e3a\u4e00\u79cd\u5171\u540c\u7279\u5f81\uff0c\u8fd9\u79cd\u8c31\u53ef\u4ee5\u8868\u73b0\u51fa\u5c40\u90e8\u7edf\u8ba1\u76f8\u5bf9\u6dec\u706d\uff0c\u800c\u8fdc\u8ddd\u79bb\u7edf\u8ba1\u5219\u8868\u73b0\u51fa\u8f83\u5927\u6ce2\u52a8\u7684\u60c5\u51b5\u3002\u901a\u8fc7\u7ed3\u5408\u6807\u51c6\u968f\u673a\u77e9\u9635\u7406\u8bba\uff08RMT\uff09\u7684\u6269\u5c55\u5e76\u8003\u8651\u957f\u8c31\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u5f53\u5728RMT\u8c31\u4e2d\u5f15\u5165\u5f31\u65e0\u5e8f\u6216\u5728Poisson\u4f53\u5236\u4e2d\u53d1\u751f\u5f3a\u65e0\u5e8f\u65f6\uff0c\u4f1a\u53d1\u751f\u6b64\u73b0\u8c61\u3002\u6211\u4eec\u663e\u793a\uff0c\u957f\u671f\u7edf\u8ba1\u9075\u5faa\u6cf0\u52d2\u5b9a\u5f8b\uff0c\u8fd9\u8868\u660e\u5728\u8fd9\u79cd\u8c31\u4e2d\u5b58\u5728\u6ce2\u52a8\u6807\u5ea6\uff08FS\uff09\u673a\u5236\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    1992-2015\u5e74\u4eba\u5de5<\/strong><\/span><\/p>\n

    \u591c\u95f4\u706f\u5149\u7684\u65f6\u7a7a\u7f51\u7edc\u6f14\u53d8<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

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

    Spatiotemporal Network Evolution of Anthropogenic Night Light 1992-2015<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.12197<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    C. Small<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u591c\u706f\u7684\u536b\u661f\u6210\u50cf\u63d0\u4f9b\u4e86\u4ece1992\u5e74\u81f3\u4eca\u7684\u5168\u7403\u7167\u660e\u53d1\u5c55\u8bb0\u5f55\u3002\u5e76\u975e\u6240\u6709\u7684\u5b9a\u5c45\u70b9\u90fd\u53ef\u4ee5\u7528\u5c0f\u591c\u706f\u63a2\u6d4b\u5230\uff0c\u4f46\u901a\u5e38\u53ef\u4ee5\u5feb\u901f\u589e\u957f\u7684\u5927\u591a\u6570\u4eba\u53e3\u5c45\u4f4f\u7684\u5efa\u7b51\u73af\u5883\u7684\u8fde\u7eed\u4f53\u3002\u5c06\u8fde\u7eed\u573a\u5206\u5272\u4e3a\u50cf\u7d20\u7684\u79bb\u6563\u7684\u7a7a\u95f4\u8fde\u7eed\u5b50\u96c6\u4f1a\u4ea7\u751f\u4e00\u4e2a\u7a7a\u95f4\u7f51\u7edc\uff0c\u5176\u4e2d\u6bcf\u4e2a\u8fde\u7eed\u7247\u6bb5\u4ee3\u8868\u4e00\u4e2a\u4e0d\u540c\u7684\u7f51\u7edc\u7ec4\u4ef6\u3002\u5c06\u7167\u660e\u53d1\u5c55\u7684\u8fde\u7eed\u6027\u8868\u793a\u4e3a\u5177\u6709\u4e0d\u540c\u7a7a\u95f4\u8fde\u901a\u6027\u7684\u7a7a\u95f4\u7f51\u7edc\uff0c\u53ef\u4ee5\u5728\u7a7a\u95f4\u73af\u5883\u4e2d\u5e94\u7528\u5e42\u5f8b\u7f51\u7edc\u7ed3\u6784\u7684\u751f\u6210\u6761\u4ef6\uff0c\u4ece\u800c\u4e3a\u5728\u5b9a\u5c45\u70b9\u548c\u5176\u4ed6\u571f\u5730\u8986\u76d6\u7c7b\u578b\u4e2d\u89c2\u5bdf\u5230\u7684\u76f8\u4f3c\u6bd4\u4f8b\u63d0\u4f9b\u4e00\u822c\u89e3\u91ca\u3002\u8fd9\u9879\u7814\u7a76\u5f15\u5165\u4e86\u4e00\u79cd\u65b0\u9896\u7684\u65b9\u6cd5\uff0c\u7ed3\u5408\u4e86\u6765\u81ea\u536b\u661f\u7684\u591c\u706f\u89c2\u6d4b\u7684\u8865\u5145\u6e90\uff0c\u4ee5\u91cf\u53161992\u5e74\u81f32015\u5e74\u5168\u7403\u7167\u660e\u53d1\u5c55\u7684\u5168\u7403\u7a7a\u95f4\u7f51\u7edc\u7ed3\u6784\u7684\u6f14\u5316\u3002\u7f51\u7edc\u7ec4\u4ef6\u7684\u533a\u57df\u5468\u957f\u5206\u5e03\u663e\u793a\u51fa\u591a\u91cd\u5206\u5f62\u5c3a\u5ea6\uff0c\u968f\u7740\u8d8a\u6765\u8d8a\u5927\u7684\u7ec4\u4ef6\u8d8a\u6765\u8d8a\u591a\u66f2\u6298\u3002\u7f51\u7edc\u7ec4\u4ef6\u7684\u79e9\u5927\u5c0f\u5206\u5e03\u662f\u7ebf\u6027\u7684\uff0c\u5e76\u4e14\u7531\u5e42\u5b9a\u5f8b\u5f88\u597d\u5730\u63cf\u8ff0\uff0c\u5bf9\u4e8e\u6240\u670927\u4e2a\u5730\u7406\u5b50\u96c6\uff0c\u5e74\u4efd\u548c\u8fde\u63a5\u7a0b\u5ea6\uff0c\u6307\u6570\u5747\u5728-1\u76840.08\u8303\u56f4\u5185-\u6307\u793a\u9c81\u68d2\u7684\u5c3a\u5ea6\u5c5e\u6027\u3002\u7f51\u7edc\u7ec4\u4ef6\u5185\u4eae\u5ea6\u7684\u533a\u57df\u5206\u5e03\u663e\u793a\u51fa\u4ece\u8f83\u5c0f\u7ec4\u4ef6\u7684\u8fde\u7eed\u4f4e\u504f\u659c\u5230\u8f83\u5927\u7ec4\u4ef6\u7684\u4e0d\u8fde\u7eed\uff0c\u8fd1\u4e4e\u5747\u5300\u7684\u4eae\u5ea6\u5206\u5e03\u7684\u7a81\u7136\u8f6c\u53d8\uff0c\u8fd9\u8868\u660e\u5c3d\u7ba1\u5927\u5c0f\u548c\u5f62\u72b6\u8fde\u7eed\uff0c\u7f51\u7edc\u7ed3\u6784\u4e5f\u53d1\u751f\u4e86\u6839\u672c\u53d8\u5316\u3002\u8fd9\u4e9b\u7ed3\u679c\u8868\u660e\uff0c\u5bf9\u4e8e\u884c\u653f\u5b9a\u4e49\u7684\u57ce\u5e02\u4eba\u53e3\u4e0d\u4e00\u81f4\u5730\u89c2\u5bdf\u5230\u7684\u57ce\u5e02\u89c4\u6a21\u5c3a\u5ea6\uff0c\u5bf9\u4e8e\u7269\u7406\u5b9a\u4e49\u7684\u5b9a\u5c45\u7f51\u7edc\u533a\u57df\u800c\u8a00\u66f4\u4e3a\u4e00\u81f4\uff0c\u5e76\u4e14\u53ef\u4ee5\u901a\u8fc7\u7a7a\u95f4\u7f51\u7edc\u7684\u589e\u957f\u8fc7\u7a0b\u6765\u66f4\u7b80\u5355\u5730\u89e3\u91ca\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u63a8\u8350\u8bc4\u8bba\u6709\u7528\u5417\uff1f<\/strong><\/span><\/p>\n

    \u6279\u8bc4\u8bc4\u8bba\u548c\u53ef\u80fd\u7684\u6539\u8fdb<\/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

    How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.12210<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Noveen Sachdeva, Julian McAuley<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u8c03\u67e5\u4e86\u8d8a\u6765\u8d8a\u591a\u7684\u5de5\u4f5c\uff0c\u8fd9\u4e9b\u5de5\u4f5c\u65e8\u5728\u901a\u8fc7\u4f7f\u7528\u5ba1\u9605\u6587\u672c\u6765\u6539\u8fdb\u63a8\u8350\u7cfb\u7edf\u3002\u901a\u5e38\uff0c\u8fd9\u4e9b\u8bba\u6587\u8ba4\u4e3a\uff0c\u7531\u4e8e\u8bc4\u8bba\u201c\u89e3\u91ca\u4e86\u201d\u7528\u6237\u7684\u610f\u89c1\uff0c\u56e0\u6b64\u5b83\u4eec\u5e94\u8be5\u6709\u52a9\u4e8e\u63a8\u65ad\u9884\u6d4b\u6536\u89c6\u7387\u6216\u8d2d\u4e70\u91cf\u7684\u6f5c\u5728\u7ef4\u5ea6\u3002\u7eb3\u5165\u8bc4\u8bba\u7684\u65b9\u6848\u8303\u56f4\u4ece\u7b80\u5355\u7684\u6b63\u5219\u5316\u5668\u5230\u795e\u7ecf\u7f51\u7edc\u65b9\u6cd5\u3002\u6211\u4eec\u7684\u521d\u6b65\u53d1\u73b0\u63ed\u793a\u4e86\u62a5\u544a\u7ed3\u679c\u4e2d\u7684\u4e00\u4e9b\u5dee\u5f02\uff0c\u90e8\u5206\u539f\u56e0\u662f\uff08\u4f8b\u5982\uff09\u5c3d\u7ba1\u5b9e\u9a8c\u8bbe\u7f6e\u6216\u6570\u636e\u9884\u5904\u7406\u53d1\u751f\u4e86\u53d8\u5316\uff0c\u4f46\u4ecd\u5728\u8bba\u6587\u4e4b\u95f4\u590d\u5236\u4e86\u7ed3\u679c\u3002\u9996\u5148\uff0c\u6211\u4eec\u5c1d\u8bd5\u8fdb\u884c\u5168\u9762\u5206\u6790\u4ee5\u89e3\u51b3\u8fd9\u4e9b\u6b67\u4e49\u3002\u8fdb\u4e00\u6b65\u7684\u8c03\u67e5\u8981\u6c42\u8ba8\u8bba\u6709\u5173\u7528\u6237\u8bc4\u8bba\u7684\u201c\u91cd\u8981\u6027\u201d\u7684\u66f4\u5927\u95ee\u9898\u3002\u901a\u8fc7\u5e7f\u6cdb\u7684\u5b9e\u9a8c\uff0c\u6211\u4eec\u89c2\u5bdf\u5230\u51e0\u79cd\u60c5\u51b5\uff0c\u5176\u4e2d\u6700\u5148\u8fdb\u7684\u65b9\u6cd5\u65e0\u6cd5\u80dc\u8fc7\u73b0\u6709\u57fa\u51c6\uff0c\u5c24\u5176\u662f\u5f53\u6211\u4eec\u504f\u79bb\u4e86\u4e00\u4e9b\u6709\u7528\u7684\u72ed\u4e49\u5b9a\u4e49\u8bbe\u7f6e\u65f6\u3002\u6700\u540e\uff0c\u6211\u4eec\u4e3a\u89c2\u5bdf\u63d0\u4f9b\u4e86\u5047\u8bbe\uff0c\u8fd9\u4e9b\u5047\u8bbe\u65e8\u5728\u523b\u753b\u5728\u4f55\u79cd\u6761\u4ef6\u4e0b\u590d\u67e5\u53ef\u80fd\u4f1a\u6709\u6240\u5e2e\u52a9\u3002\u901a\u8fc7\u8fd9\u9879\u5de5\u4f5c\uff0c\u6211\u4eec\u65e8\u5728\u8bc4\u4f30\u8be5\u9886\u57df\u7684\u53d1\u5c55\u65b9\u5411\uff0c\u5e76\u9f13\u52b1\u8fdb\u884c\u6709\u529b\u7684\u7ecf\u9a8c\u8bc4\u4f30\u3002<\/span><\/section>\n


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

    \n
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    ERC20\u4e0a\u7684\u7528\u6237\u884c\u4e3a\u548c\u4ee3\u5e01\u91c7\u7528<\/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

    User behavior and token adoption on ERC20<\/span>
    <\/h3>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.12218<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Alfredo J. Morales, Shahar Somin, Yaniv Altshuler, Alex \u2018Sandy\u2019 Pentland<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u52a0\u5bc6\u8d27\u5e01\u548c\u57fa\u4e8e\u533a\u5757\u94fe\u7684\u6280\u672f\u6b63\u5728\u6270\u4e71\u6240\u6709\u5e02\u573a\u3002\u5c3d\u7ba1\u6b64\u7c7b\u6280\u672f\u7684\u6f5c\u529b\u5c1a\u5f85\u89c2\u5bdf\uff0c\u4f46\u5f53\u524d\u9700\u8981\u4e86\u89e3\u7528\u6237\u884c\u4e3a\u548c\u4ee4\u724c\u91c7\u7528\u7684\u65b0\u5174\u6a21\u5f0f\uff0c\u4ee5\u8bbe\u8ba1\u672a\u6765\u7684\u4ea7\u54c1\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5206\u6790\u4e86\u5728ERC20\u5e73\u53f0\u4e0a\u4efb\u610f\u4e00\u5929\u53d1\u751f\u7684\u793e\u4f1a\u52a8\u6001\u3002\u6211\u4eec\u63cf\u8ff0\u4e86\u4e3b\u4f53\u5546\u4e4b\u95f4\u7684\u4ee3\u5e01\u4ea4\u6613\u7f51\u7edc\u3002\u6211\u4eec\u5c55\u793a\u4e86\u7528\u6237\u884c\u4e3a\uff0c\u4ea7\u54c1\u7ec4\u5408\u591a\u6837\u6027\u548c\u4ee4\u724c\u91c7\u7528\u7684\u5f02\u7c7b\u914d\u7f6e\u6587\u4ef6\u3002\u5c3d\u7ba1\u5927\u591a\u6570\u7528\u6237\u90fd\u4e13\u95e8\u5904\u7406\u4e00\u4e9b\u4ee4\u724c\uff0c\u4f46\u662f\u62e5\u6709\u591a\u6837\u5316\u4ea7\u54c1\u7ec4\u5408\u7684\u7528\u6237\u5374\u8de8\u63a5\u5728\u7f51\u7edc\u7684\u5927\u90e8\u5206\u533a\u57df\uff0c\u53ef\u80fd\u4f1a\u5371\u5bb3\u7cfb\u7edf\u7a33\u5b9a\u6027\u3002\u6211\u4eec\u8ba4\u4e3a\u8fd9\u9879\u5de5\u4f5c\u5c06\u6210\u4e3a\u63ed\u9732\u52a0\u5bc6\u8d27\u5e01\u7f51\u7edc\u4f7f\u7528\u52a8\u6001\u7684\u57fa\u7840\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


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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

    \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

    \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<\/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\u5927\u6d41\u884c\u7684\u73b0\u8c61\u52a8\u529b\u5b66\uff1a\u8c03\u6574\u53c2\u6570\u7684\u7efc\u5408\u5206\u6790 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901228\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

    \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":"

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