{"id":20051,"date":"2020-06-16T21:45:44","date_gmt":"2020-06-16T13:45:44","guid":{"rendered":"https:\/\/swarma.org\/?p=20051"},"modified":"2020-06-16T21:45:44","modified_gmt":"2020-06-16T13:45:44","slug":"%e5%a4%8d%e6%9d%82%e7%bd%91%e7%bb%9c%e4%b8%8a%e9%9a%8f%e6%9c%ba%e4%bc%a0%e6%9f%93%e5%8a%a8%e5%8a%9b%e5%ad%a6%e7%9a%84%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0-%e7%bd%91%e7%bb%9c%e7%a7%91%e5%ad%a6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=20051","title":{"rendered":"\u590d\u6742\u7f51\u7edc\u4e0a\u968f\u673a\u4f20\u67d3\u52a8\u529b\u5b66\u7684\u6df1\u5ea6\u5b66\u4e60 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901230\u7bc7"},"content":{"rendered":"
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\n
\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
  • \n

    \u590d\u6742\u7f51\u7edc\u4e0a\u968f\u673a\u4f20\u67d3\u52a8\u529b\u5b66\u7684\u6df1\u5ea6\u5b66\u4e60;<\/span>
    <\/p>\n<\/li>\n

  • \n
    \u4f7f<\/span>\u7528\u611f\u67d3<\/span>\u6e90\u8bc4<\/span>\u4f30\u672a\u8bca\u65ad\u7684COVID-19\u611f\u67d3\u6570\u91cf<\/span>;<\/span>
    <\/span><\/section>\n<\/li>\n
  • \n
    \u57fa\u4e8eMoyal\u5206\u5e03\u7684SARS-Cov-II\u6d41\u884c\u66f2\u7ebf\u7684\u5f62\u6001\u548c\u6570\u503c\u7279\u5f81;<\/span><\/section>\n<\/li>\n
  • \n
    COVID-19\u5927\u6d41\u884c\u671f\u95f4\u5357\u7f8e\u7684\u793e\u4f1a\u8ddd\u79bb\u548c\u6d41\u52a8\u6027\u6d4b\u5ea6\uff1a\u5fc5\u8981\u548c\u5145\u5206\u6761\u4ef6;<\/span><\/section>\n<\/li>\n
  • \n
    CRISP\uff1a<\/span>\u57fa\u4e8e\u8054\u7cfb\u6570\u636e\u7684\u4e2a\u4eba\u7ea7COVID-19\u611f\u67d3\u98ce\u9669\u4f30\u8ba1\u7684\u6982\u7387\u6a21\u578b;<\/span>
    <\/span><\/section>\n<\/li>\n
  • \n
    \u4f7f\u7528\u7ebd\u7ea6\u548c\u65b0\u6cfd\u897f\u5dde\u7684COVID-19\u6570\u636e\u62df\u5408\u57fa\u4e8e\u65f6\u95f4\u7684\u8026\u5408SIR\u6a21\u578b;<\/span><\/section>\n<\/li>\n
  • \n
    COVID-19\u8ddd\u79bb\u63aa\u65bd\u65f6\u4ee3\uff0c\u5730\u94c1\u670d\u52a1\u7684\u6700\u4f73\u9891\u7387\u8bbe\u7f6e;<\/span><\/section>\n<\/li>\n
  • \n
    \u901a\u8fc7\u793e\u4ea4\u8ddd\u79bb\u8fdb\u884c\u7684SIR\u6d41\u884c\u75c5\u6a21\u578b\u6700\u4f73\u514d\u75ab\u63a7\u5236;<\/span><\/section>\n<\/li>\n
  • \n
    \u53cc\u7a33\u6001\u4f20\u67d3\u52a8\u529b\u5b66\u7684\u8870\u8001\u548c\u677e\u5f1b;<\/span><\/section>\n<\/li>\n
  • \n
    \u4f20\u64ad\u9884\u6d4b\u6a21\u578b\u5e94\u7528\u4e8e\u7f8e\u56fd\u516d\u4e2a\u5dde;<\/span><\/section>\n<\/li>\n
  • \n
    COVID-19\u5168\u7403\u6570\u636e\u79d1\u5b66\u9879\u76ee\u6458\u8981\u62a5\u544a;<\/span><\/section>\n<\/li>\n
  • \n
    \u793e\u4ea4\u5a92\u4f53\u548cCOVID-19\uff1a\u80fd\u5426\u5728\u4e0d\u8861\u91cf\u4eba\u7c7b\u6d3b\u52a8\u7684\u60c5\u51b5\u4e0b\u91cf\u5316\u793e\u4f1a\u8ddd\u79bb\uff1f;<\/span><\/section>\n<\/li>\n
  • \n
    \u5173\u4e8e\u6d41\u52a8\u6027\u548c\u4f4f\u9662\u80fd\u529b\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\uff1aSEIRHUD\u6a21\u578b;<\/span><\/section>\n<\/li>\n
  • \n
    \u901a\u8fc7\u968f\u673aSEIR\u6a21\u578b\u6a21\u62df\u6cd5\u56fd\u548c\u610f\u5927\u5229\u7684\u7b2c\u4e8c\u6ce2COVID-19\u611f\u67d3;<\/span><\/section>\n<\/li>\n
  • \n
    \u4e24\u4e2a\u793e\u533a\u7684\u6545\u4e8b\uff1a\u901a\u8fc7\/r\/China_Flu\u548c\/r\/Coronavirus\u8868\u5f81Reddit\u5bf9COVID-19\u7684\u54cd\u5e94;<\/span><\/section>\n<\/li>\n
  • \n
    \u6709\u5bc4\u751f\u866b\u611f\u67d3\u7684\u793e\u4f1a\u884c\u4e3a\u7684\u6ede\u540e\u6548\u5e94;<\/span><\/section>\n<\/li>\n
  • \n
    \u901a\u8fc7\u56fe\u7c97\u7c92\u5316\u548c\u5339\u914d\u8fdb\u884c\u5206\u5c42\u5927\u89c4\u6a21\u56fe\u76f8\u4f3c\u5ea6\u8ba1\u7b97;<\/span><\/section>\n<\/li>\n
  • \n
    \u5e7f\u4e49\u7ec4\u5408\u7f51\u7edc\u7684\u6807\u91cf\u89e3\u548c\u5411\u91cf\u89e3\u4e4b\u95f4\u7684\u5dee\u8ddd;<\/span><\/section>\n<\/li>\n
  • \n
    \u7f51\u7edc\u4e0a\u7684node2vec\u968f\u673a\u6e38\u8d70\u5206\u6790;<\/span><\/section>\n<\/li>\n
  • \n
    Persona2vec\uff1a\u56fe\u7684\u7075\u6d3b\u591a\u89d2\u8272\u8868\u793a\u5b66\u4e60\u6846\u67b6;<\/span><\/section>\n<\/li>\n
  • \n
    Pyvis\u548cVisJS\u7684\u7f51\u7edc\u53ef\u89c6\u5316;<\/span><\/section>\n<\/li>\n
  • \n
    Facebook\u4e0a\u7f8e\u56fd\u5927\u5b66\u7f51\u7edc\u7684\u7ed3\u6784;<\/span><\/section>\n<\/li>\n
  • \n
    \u5168\u95f4\u969412\u97f3\u884c\u7684\u65c5\u884c\u8005\u6307\u5357;<\/span><\/section>\n<\/li>\n
  • \n
    \u975e\u7ebf\u6027\u6e38\u8d70\u548c\u62e5\u585e\u7f51\u7edc\u7684\u6709\u6548\u63a2\u7d22;<\/span><\/section>\n<\/li>\n
  • \n
    DyHGCN\uff1a\u52a8\u6001\u5f02\u6784\u56fe\u5377\u79ef\u7f51\u7edc\uff0c\u7528\u4e8e\u5b66\u4e60\u7528\u6237\u7684\u4fe1\u606f\u6269\u6563\u9884\u6d4b\u52a8\u6001\u504f\u597d;<\/span><\/section>\n<\/li>\n
  • \n
    \u901a\u8fc7\u5bf9\u6bd4\u5b50\u56fe\u53ef\u89e3\u91ca\u7684\u8111\u7f51\u7edc\u5206\u7c7b;<\/span><\/section>\n<\/li>\n
  • \n
    \u91cd\u65b0\u8bc4\u4f30\u97f3\u7d20\u9891\u7387;<\/span><\/section>\n<\/li>\n
  • \n
    \u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u68c0\u6d4b\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u7ed3\u6784\u6270\u52a8;<\/span><\/section>\n<\/li>\n
  • \n
    \u7535\u5f71\u4e2d\u7684\u955c\u5934\uff1a\u521d\u6b65\u5206\u6790;<\/span><\/section>\n<\/li>\n
  • \n
    \u9488\u5bf9\u591a\u6837\u548c\u7ecf\u9a8c\u4e30\u5bcc\u7684\u7fa4\u4f53\u7684\u516c\u5e73\u805a\u7c7b;<\/span><\/section>\n<\/li>\n<\/ul>\n


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


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


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

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

    \u590d\u6742\u7f51\u7edc\u4e0a\u968f\u673a<\/strong><\/span><\/p>\n

    \u4f20\u67d3\u52a8\u529b\u5b66\u7684\u6df1\u5ea6\u5b66\u4e60<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Deep learning of stochastic contagion dynamics on complex networks<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05410<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Charles Murphy, Edward Laurence, Antoine Allard<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u9884\u6d4b\u4f20\u67d3\u6027\u52a8\u529b\u5b66\u7684\u53d1\u5c55\u4ecd\u7136\u662f\u4e00\u4e2a\u60ac\u800c\u672a\u51b3\u7684\u95ee\u9898\uff0c\u673a\u68b0\u6a21\u578b\u53ea\u80fd\u63d0\u4f9b\u90e8\u5206\u7b54\u6848\u3002\u4e3a\u4e86\u4fdd\u6301\u6570\u5b66\u548c\/\u6216\u8ba1\u7b97\u4e0a\u7684\u53ef\u64cd\u4f5c\u6027\uff0c\u8fd9\u4e9b\u6a21\u578b\u5fc5\u987b\u4f9d\u9760\u7b80\u5316\u7684\u5047\u8bbe\uff0c\u4ece\u800c\u9650\u5236\u4e86\u5176\u9884\u6d4b\u7684\u5b9a\u91cf\u51c6\u786e\u6027\u4ee5\u53ca\u53ef\u4ee5\u5efa\u6a21\u7684\u52a8\u529b\u5b66\u7684\u590d\u6742\u6027\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u8865\u5145\u65b9\u6cd5\uff0c\u5176\u4e2d\u4ece\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u81ea\u52a8\u5b66\u4e60\u6709\u6548\u7684\u5c40\u90e8\u52a8\u529b\u5b66\u673a\u5236\u3002\u6211\u4eec\u7684\u56fe\u795e\u7ecf\u7f51\u7edc\u4f53\u7cfb\u7ed3\u6784\u51e0\u4e4e\u6ca1\u6709\u5173\u4e8e\u52a8\u529b\u5b66\u7684\u5047\u8bbe\uff0c\u6211\u4eec\u4f7f\u7528\u9759\u6001\u548c\u65f6\u95f4\u7f51\u7edc\u4e0a\u590d\u6742\u6027\u4e0d\u65ad\u589e\u52a0\u7684\u968f\u673a\u4f20\u67d3\u52a8\u529b\u5b66\u6765\u8bc1\u660e\u5176\u51c6\u786e\u6027\u3002\u901a\u8fc7\u5141\u8bb8\u5bf9\u4efb\u610f\u7f51\u7edc\u7ed3\u6784\u8fdb\u884c\u4eff\u771f\uff0c\u6211\u4eec\u7684\u65b9\u6cd5\u4f7f\u5f97\u6709\u53ef\u80fd\u63a2\u7d22\u8bad\u7ec3\u6570\u636e\u4ee5\u5916\u7684\u5b66\u4e60\u52a8\u6001\u7279\u6027\u3002\u6211\u4eec\u7684\u7ed3\u679c\u8868\u660e\uff0c\u6df1\u5ea6\u5b66\u4e60\u5982\u4f55\u4e3a\u6784\u5efa\u7f51\u7edc\u4e0a\u7684\u4f20\u67d3\u52a8\u6001\u6a21\u578b\u63d0\u4f9b\u6709\u6548\u7684\u6a21\u578b\uff0c\u4ece\u800c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u65b0\u7684\u8865\u5145\u89c6\u89d2\u3002<\/span><\/section>\n


    <\/p>\n


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

    \u4f7f\u7528\u611f\u67d3\u6e90\u8bc4\u4f30<\/strong><\/span><\/p>\n

    \u672a\u8bca\u65ad\u7684COVID-19\u611f\u67d3\u6570\u91cf<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n

    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/section>\n
    Evaluation of the number of COVID-19 undiagnosed infected using <\/span>source of infection measurements<\/span><\/section>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05194<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Akiva B Melka, Yoram Louzoun<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5df2\u7ecf\u8fdb\u884c\u4e86\u591a\u9879\u7814\u7a76\u6765\u9884\u6d4b\u5f53\u524dCOVID-19\u6d41\u884c\u75c5\u7684\u5f71\u54cd\u548c\u6301\u7eed\u65f6\u95f4\u3002\u8fd9\u4e9b\u7814\u7a76\u5927\u591a\u6570\u4f9d\u8d56\u4e8e\u4f7f\u7528\u5df2\u516c\u5e03\u786e\u8bca\u75c5\u4f8b\u6570\u7684\u53c2\u6570\u6821\u51c6\u3002\u4e0d\u5e78\u7684\u662f\uff0c\u7531\u4e8e\u7f3a\u4e4f\u6d4b\u8bd5\u80fd\u529b\u548c\u53d8\u5316\u7684\u6d4b\u8bd5\u534f\u8bae\uff0c\u8be5\u6570\u5b57\u901a\u5e38\u662f\u4e0d\u5b8c\u6574\u7684\u4e14\u6709\u504f\u5dee\u3002\u66f4\u597d\u76d1\u63a7\u7684\u57fa\u672c\u8981\u6c42\u662f\u8bc4\u4f30\u672a\u8bca\u65ad\u7684\u611f\u67d3\u4e2a\u4f53\u7684\u6570\u91cf\u3002\u8be5\u6570\u5b57\u5bf9\u4e8e\u786e\u5b9a\u4f20\u64ad\u9884\u9632\u7b56\u7565\u81f3\u5173\u91cd\u8981\uff0c\u5b83\u63d0\u4f9b\u4e86\u6d41\u884c\u75c5\u52a8\u6001\u7684\u7edf\u8ba1\u6570\u636e\u3002\u4e3a\u4e86\u4f30\u8ba1\u672a\u8bca\u65ad\u7684\u611f\u67d3\u4e2a\u4f53\u7684\u6570\u91cf\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u6240\u6709\u611f\u67d3\u8005\u4e2d\u8bca\u65ad\u51fa\u7684\u611f\u67d3\u8005\u6bd4\u4f8b\u4e0e\u6240\u6709\u8bca\u65ad\u51fa\u7684\u611f\u67d3\u8005\u4e2d\u88ab\u5df2\u77e5\u6c61\u67d3\u7269\u611f\u67d3\u7684\u6bd4\u4f8b\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u6211\u4eec\u6a21\u62df\u4e86\u5f53\u524d\u7528\u4e8e\u7814\u7a76COVID-19\u5927\u6d41\u884c\u7684\u591a\u4e2a\u6a21\u578b\uff0c\u5e76\u5728\u6240\u6709\u8fd9\u4e9b\u6a21\u578b\u4e2d\u8ba1\u7b97\u4e86\u8fd9\u4e24\u4e2a\u90e8\u5206\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u5728\u5f53\u524d\u4f7f\u7528\u7684\u5927\u591a\u6570\u6a21\u578b\u4e2d\uff0c\u5bf9\u4e8e\u5927\u591a\u6570\u5b9e\u9645\u7684\u6a21\u578b\u53c2\u6570\uff0c\u4e24\u4e2a\u90e8\u5206\u4e4b\u95f4\u7684\u5173\u7cfb\u59cb\u7ec8\u662f\u7ebf\u6027\u7684\uff0c\u5e76\u4e14\u4e0e\u6a21\u578b\u65e0\u5173\u3002\u8fd9\u79cd\u5173\u7cfb\u53ef\u4ee5\u7528\u6765\u4f30\u8ba1\u672a\u8bca\u65ad\u7684\u611f\u67d3\u4eba\u6570\uff0c\u800c\u65e0\u9700\u660e\u786e\u7684\u6d41\u884c\u75c5\u5b66\u6a21\u578b\u3002\u6211\u4eec\u91c7\u7528\u8fd9\u79cd\u65b9\u6cd5\u6765\u8861\u91cf\u4ee5\u8272\u5217\u672a\u786e\u8bca\u7684\u611f\u67d3\u4eba\u6570\u3002\u7531\u4e8e\u53ef\u4ee5\u4ece\u4efb\u4f55\u56fd\u5bb6\u7684\u6d41\u884c\u75c5\u5b66\u8c03\u67e5\u4e2d\u83b7\u5f97\u5df2\u77e5\u6765\u6e90\u7684\u786e\u8bca\u75c5\u4f8b\u7684\u6bd4\u4f8b\uff0c\u56e0\u6b64\u53ef\u4ee5\u4f30\u7b97\u51fa\u540c\u4e00\u56fd\u5bb6\u7684\u53d7\u611f\u67d3\u4e2a\u4f53\u603b\u6570\u3002<\/span><\/section>\n

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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8eMoyal\u5206\u5e03\u7684<\/strong><\/span><\/p>\n

    SARS-Cov-II\u6d41\u884c\u66f2\u7ebf\u7684\u5f62\u6001\u548c\u6570\u503c\u7279\u5f81<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/section>\n
    Morphology and numerical characteristics of epidemic curves for SARS-Cov-II using Moyal distribution<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.04954<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Jose de Jesus Bernal-Alvarado, David Delepine (Guanajuato University)<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u8868\u660e\uff0cMoyal\u5206\u5e03\u662f\u7814\u7a76SARS-Cov-II\uff08Covid-19\uff09\u6d41\u884c\u75c5\u5b66\u76f8\u5173\u66f2\u7ebf\u53ca\u5176\u4f20\u64ad\u7684\u51fa\u8272\u5de5\u5177\u3002Moyal\u53c2\u6570\u63d0\u4f9b\u6240\u6709\u4fe1\u606f\uff0c\u4ee5\u63cf\u8ff0\u75be\u75c5\u66b4\u53d1\u5728\u4e0d\u540c\u53d7\u707e\u56fd\u5bb6\u7684\u5f62\u5f0f\u548c\u5f71\u54cd\u53ca\u5176\u5168\u7403\u5f71\u54cd\u3002\u6211\u4eec\u68c0\u67e5\u4e86Moyal\u5206\u5e03\u662f\u5426\u53ef\u4ee5\u51c6\u786e\u5730\u62df\u5408\u6bcf\u4e2a\u56fd\u5bb6\/\u5730\u533a it \u65b0\u786e\u8bca\u7684\u53d7\u611f\u67d3\u75c5\u4f8b\uff08NCC\uff09\u7684\u6bcf\u65e5\u62a5\u544a\uff0c\u8fd9\u4e9b\u5730\u65b9\u7684\u4f20\u67d3\u75c5\u5df2\u8fbe\u5230\u5176\u6700\u7ec8\u9636\u6bb5\uff0c\u63cf\u8ff0\u4e86\u5f00\u59cb\uff0c\u6700\u5f3a\u70c8\u4f20\u67d3\u7684\u540c\u65f6\u9636\u6bb5\u548c\u4e0b\u964d\u9636\u6bb5\u3002\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u9879\u5de5\u4f5c\u7684\u76ee\u7684\uff0c\u91cd\u8981\u7684\u662f\u8981\u4f7f\u7528\u4e00\u7ec4\u5b8c\u6574\u4e14\u7ecf\u8fc7\u826f\u597d\u7f16\u8bd1\u7684\u6570\u636e\u6765\u62df\u5408\u66f2\u7ebf\u3002\u5df2\u4f7f\u7528\u6765\u81ea\u6cd5\u56fd\uff0c\u897f\u73ed\u7259\uff0c\u610f\u5927\u5229\uff0c\u6bd4\u5229\u65f6\uff0c\u745e\u5178\uff0c\u82f1\u56fd\uff0c\u4e39\u9ea6\u7b49\u6b27\u6d32\u56fd\u5bb6\u7684\u6570\u636e\uff0c\u4ee5\u53ca\u7f8e\u56fd\u548c\u4e2d\u56fd\u7b49\u5176\u4ed6\u56fd\u5bb6\u7684\u6570\u636e\u3002\u6b64\u5916\uff0c\u8fd8\u8ba8\u8bba\u4e86Moyal\u5206\u5e03\u62df\u5408\u7684\u53c2\u6570\u4e0e\u5404\u56fd\u5b9e\u65bd\u7684\u4e00\u822c\u516c\u5171\u536b\u751f\u63aa\u65bd\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3002\u663e\u793a\u4e86\u8fd9\u4e9b\u653f\u7b56\u4e0eMoyal\u5206\u5e03\u7279\u5f81\u4e4b\u95f4\u7684\u5173\u7cfb\uff08\u6839\u636e\u5176\u53c2\u6570\u548c\u4e34\u754c\u70b9\uff09\uff1b\u4ece\u4e2d\u53ef\u4ee5\u770b\u51fa\uff0c\u5bf9\u6d41\u884c\u75c5\u5b66\u66f2\u7ebf\u7684\u65f6\u95f4\u6f14\u53d8\uff0c\u5176\u4e34\u754c\u70b9\uff0c\u53e0\u52a0\u7279\u6027\u4ee5\u53ca\u4e0a\u5347\u548c\u4e0b\u964d\u7684\u901f\u7387\u7684\u4e86\u89e3\uff0c\u53ef\u4ee5\u5e2e\u52a9\u627e\u5230\u4e00\u79cd\u65b9\u6cd5\u6765\u4f30\u8ba1\u6240\u65bd\u52a0\u7684\u793e\u4f1a\u758f\u79bb\u63aa\u65bd\u7684\u6548\u7387\u3002\u5728\u6bcf\u4e2a\u56fd\u5bb6\/\u5730\u533a\uff0c\u5e76\u9884\u6d4b\u5927\u6d41\u884c\u7684\u4e0d\u540c\u9636\u6bb5\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    COVID-19\u5927\u6d41\u884c\u671f\u95f4\u5357\u7f8e\u7684\u793e\u4f1a\u8ddd\u79bb<\/strong><\/span><\/p>\n

    \u548c\u6d41\u52a8\u6027\u6d4b\u5ea6\uff1a\u5fc5\u8981\u548c\u5145\u5206\u6761\u4ef6<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Medidas de distanciamento social e mobilidade na Am\u2019erica do Sul durante a pandemia por COVID-19: Condic{c}~oes necess\u2019arias e suficientes?<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong> <\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.04985<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Gisliany Lillian Alves de Oliveira, Luciana Concei\u00e7\u00e3o de Lima, Ivanovitch Silva, Marcel da C\u00e2mara Ribeiro-Dantas, Kayo Henrique Monteiro, Patricia Takako Endo<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u6ca1\u6709\u7528\u4e8eCOVID-19\u7684\u75ab\u82d7\u7684\u60c5\u51b5\u4e0b\uff0c\u5fc5\u987b\u91c7\u53d6\u975e\u836f\u7269\u5e72\u9884\u63aa\u65bd\u6765\u904f\u5236\u75c5\u6bd2\u7684\u4f20\u64ad\u4ee5\u53ca\u53d7\u5f71\u54cd\u5730\u533a\u536b\u751f\u7cfb\u7edf\u7684\u5d29\u6e83\u3002\u8fd9\u4e9b\u63aa\u65bd\u4e4b\u4e00\u662f\u793e\u4f1a\u758f\u8fdc\uff0c\u5176\u76ee\u7684\u662f\u901a\u8fc7\u5173\u95ed\u6d89\u53ca\u4eba\u7fa4\u7684\u516c\u5171\u548c\u79c1\u4eba\u573a\u6240\u6765\u51cf\u5c11\u793e\u533a\u4e2d\u7684\u4e92\u52a8\u3002\u5c01\u9501\u7684\u524d\u63d0\u662f\u793e\u533a\u4e92\u52a8\u7684\u6025\u5267\u51cf\u5c11\uff0c\u8fd9\u662f\u8861\u91cf\u793e\u4f1a\u8ddd\u79bb\u7684\u4e00\u79cd\u66f4\u4e3a\u6781\u7aef\u7684\u65b9\u6cd5\u3002\u6839\u636eGoogle\u63d0\u4f9b\u7684\u516d\u7c7b\u7269\u7406\u7a7a\u95f4\u7684\u5730\u7406\u4f4d\u7f6e\u6570\u636e\uff0c\u672c\u6587\u786e\u5b9a\u4e86\u5728COVID-19\u5927\u6d41\u884c\u671f\u95f4\u91c7\u53d6\u7684\u4e0d\u540c\u7c7b\u578b\u7684\u793e\u4f1a\u758f\u8fdc\u63aa\u65bd\uff0c\u5357\u7f8e\u4eba\u6d41\u7684\u53d8\u5316\u3002\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u5206\u6790\u4e86\u4e00\u7ec4\u56fd\u5bb6\u57282020\u5e742\u670815\u65e5\u81f32020\u5e745\u670816\u65e5\u4e4b\u95f4\u7684\u4eba\u53e3\u6d41\u52a8\u8d8b\u52bf\u3002\u4e3a\u4e86\u7528\u5355\u4e00\u5ea6\u91cf\u6807\u51c6\u603b\u7ed3\u8fd9\u4e9b\u8d8b\u52bf\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a\u603b\u7684\u5faa\u73af\u6307\u6570\uff0c\u5e76\u4f7f\u7528\u533a\u57df\u81ea\u76f8\u5173\u6027\uff08\u5168\u5c40\u548c\u5c40\u90e8Moran\u6307\u6570\uff09\u7684\u63cf\u8ff0\u6027\u5206\u6790\u6765\u786e\u5b9a\u533a\u57df\u6d41\u52a8\u6027\u6a21\u5f0f\u3002\u8fd9\u9879\u7814\u7a76\u7684\u7b2c\u4e00\u4e2a\u5047\u8bbe\u662f\uff0c\u62e5\u6709\u5c01\u9501\u4ee4\u7684\u56fd\u5bb6\u5728\u51cf\u5c11\u4eba\u53e3\u6d41\u52a8\u65b9\u9762\u53ef\u4ee5\u53d6\u5f97\u66f4\u5927\u7684\u6210\u529f\uff0c\u7b2c\u4e8c\u4e2a\u5047\u8bbe\u662f\u963f\u6839\u5ef7\uff0c\u5df4\u897f\u548c\u54e5\u4f26\u6bd4\u4e9a\u5177\u6709\u533a\u57df\u6d41\u52a8\u6a21\u5f0f\u3002\u7b2c\u4e00\u4e2a\u5047\u8bbe\u5f97\u5230\u4e86\u90e8\u5206\u786e\u8ba4\uff08\u8003\u8651\u4e86\u5357\u7f8e\u768410\u4e2a\u56fd\u5bb6\uff09\uff0c\u7a7a\u95f4\u5206\u6790\u83b7\u5f97\u7684\u7ed3\u679c\u8bc1\u5b9e\u4e86\u7b2c\u4e8c\u4e2a\u5047\u8bbe\u3002\u603b\u4f53\u800c\u8a00\uff0c\u89c2\u5bdf\u5230\u7684\u6570\u636e\u8868\u660e\uff0c\u6ca1\u6709\u5fc5\u8981\u91c7\u53d6\u8f83\u4e25\u683c\u7684\u5c01\u9501\u6216\u793e\u4f1a\u9694\u79bb\u63aa\u65bd\uff0c\u4f46\u8fd9\u4e0d\u8db3\u4ee5\u5927\u5e45\u5ea6\u51cf\u5c11\u5927\u6d41\u884c\u671f\u95f4\u7684\u4eba\u5458\u6d41\u52a8\u3002<\/span><\/section>\n

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


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

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

    CRISP\uff1a\u57fa\u4e8e\u8054\u7cfb\u6570\u636e\u7684\u4e2a\u4eba\u7ea7<\/strong><\/span><\/p>\n

    COVID-19\u611f\u67d3\u98ce\u9669\u4f30\u8ba1\u7684\u6982\u7387\u6a21\u578b<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.04942<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Ralf Herbrich, Rajeev Rastogi, Roland Vollgraf<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u4ecb\u7ecd\u4e86CRISP\uff08COVID-19\u98ce\u9669\u8bc4\u5206\u9884\u6d4b\uff09\uff0c\u8fd9\u662f\u4e00\u79cd\u57fa\u4e8eSEIR\u6a21\u578b\u7684\uff0c\u901a\u8fc7\u4eba\u7fa4\u4f20\u64ad\u7684COVID-19\u611f\u67d3\u7684\u6982\u7387\u56fe\u6a21\u578b\uff0c\u6211\u4eec\u5047\u8bbe\u4f1a\u8bbf\u95ee\uff081\uff09\u8de8\u65f6\u95f4\u8de8\u5404\u79cd\u6e20\u9053\u7684\u6210\u5bf9\u4e2a\u4f53\u4e4b\u95f4\u7684\u76f8\u4e92\u8054\u7cfb\uff08\u4f8b\u5982\uff0c\u84dd\u7259\u63a5\u89e6\u8ff9\u7ebf\uff09\uff0c\u4ee5\u53ca\uff082\uff09\u5728\u7ed9\u5b9a\u65f6\u95f4\u8fdb\u884c\u611f\u67d3\uff0c\u66b4\u9732\u548c\u514d\u75ab\u6d4b\u8bd5\u7684\u6d4b\u8bd5\u7ed3\u679c\u3002\u6211\u4eec\u7684\u5fae\u89c2\u6a21\u578b\u8ddf\u8e2a\u6bcf\u4e2a\u4eba\u5728\u6bcf\u4e2a\u65f6\u95f4\u70b9\u7684\u611f\u67d3\u72b6\u6001\uff0c\u8303\u56f4\u4ece\u6613\u611f\uff0c\u66b4\u9732\uff0c\u611f\u67d3\u5230\u6062\u590d\u3002\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u79cd\u8499\u7279\u5361\u6d1bEM\u7b97\u6cd5\u6765\u63a8\u65ad\u63a5\u89e6\u901a\u9053\u7684\u7279\u5b9a\u611f\u67d3\u4f20\u64ad\u6982\u7387\u3002\u6211\u4eec\u7684\u7b97\u6cd5\u4f7f\u7528\u5409\u5e03\u65af\u91c7\u6837\u6cd5\uff0c\u5728\u7ed9\u5b9a\u6240\u6709\u63a5\u89e6\u8005\u7684\u6f5c\u4f0f\u611f\u67d3\u72b6\u6001\u548c\u6d4b\u8bd5\u7ed3\u679c\u6570\u636e\u7684\u60c5\u51b5\u4e0b\uff0c\u5728\u6574\u4e2a\u5206\u6790\u65f6\u95f4\u5185\u7ed8\u5236\u6bcf\u4e2a\u4eba\u7684\u6f5c\u4f0f\u611f\u67d3\u72b6\u6001\u7684\u6837\u672c\u3002\u6a21\u62df\u6570\u636e\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u53ef\u4ee5\u901a\u8fc7\u7e41\u6b96\u56e0\u5b50 R_0 \u5bf9\u6211\u4eec\u7684CRISP\u6a21\u578b\u8fdb\u884c\u53c2\u6570\u5316\uff0c\u5e76\u663e\u793a\u51fa\u4e0e\u7ecf\u5178SEIR\u6a21\u578b\u76f8\u4f3c\u7684\u79cd\u7fa4\u6c34\u5e73\u4f20\u67d3\u6027\u548c\u6062\u590d\u65f6\u95f4\u5e8f\u5217\u3002\u4f46\u662f\uff0c\u7531\u4e8e\u6709\u5355\u72ec\u7684\u8054\u7cfb\u6570\u636e\uff0c\u8be5\u6a21\u578b\u53ef\u4ee5\u5bf9\u5404\u79cdCOVID-19\u7f13\u89e3\u548c\u6291\u5236\u7b56\u7565\u63aa\u65bd\u8fdb\u884c\u7ec6\u7c92\u5ea6\u7684\u63a7\u5236\u548c\u63a8\u65ad\u3002\u6b64\u5916\uff0c\u8be5\u7b97\u6cd5\u80fd\u591f\u4ee5\u6d4b\u8bd5\u75d5\u8ff9\u9694\u79bb\u65b9\u6cd5\u652f\u6301\u5305\u542bCOVID-19\u611f\u67d3\u4f20\u64ad\u7684\u6709\u6548\u6d4b\u8bd5\u3002\u636e\u6211\u4eec\u6240\u77e5\uff0c\u8fd9\u662f\u7b2c\u4e00\u4e2a\u57fa\u4e8e\u4e2a\u4eba\u8054\u7cfb\u6570\u636e\u6709\u6548\u63a8\u65adCOVID-19\u611f\u67d3\u4f20\u64ad\u7684\u6a21\u578b\u3002\u5927\u591a\u6570\u6d41\u884c\u75c5\u6a21\u578b\u90fd\u662f\u5728\u6574\u4e2a\u4eba\u7fa4\u4e2d\u8fdb\u884c\u63a8\u7406\u7684\u5b8f\u89c2\u6a21\u578b\u3002\u53ef\u4ee5\u5728https:\/\/github.com\/zalandoresearch\/CRISP\u4e2d\u4f7f\u7528Python\u548cC ++\u83b7\u5f97CRISP\u7684\u5b9e\u73b0\u3002<\/span><\/span><\/section>\n
    <\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4f7f\u7528\u7ebd\u7ea6\u548c\u65b0\u6cfd\u897f\u5dde\u7684COVID-19\u6570\u636e<\/strong><\/span><\/p>\n

    \u62df\u5408\u57fa\u4e8e\u65f6\u95f4\u7684\u8026\u5408SIR\u6a21\u578b<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/section>\n
    On a coupled time-dependent SIR models fitting with New York and New-Jersey states COVID-19 data<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05665<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Benjamin Ambrosio, M.A. Aziz-Alaoui<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u6613\u611f\u611f\u67d3\u6062\u590d\uff08SIR\uff09\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u4e0e2020\u5e743\u6708\u5728\u7ebd\u7ea6\uff08NY\uff09\u5dde\u7684COVID-19\u6570\u636e\u62df\u5408\u3002\u8be5\u6a21\u578b\u662f\u7ecf\u5178\u7684SIR\uff0c\u4f46\u975e\u81ea\u6cbb\u3002\u968f\u65f6\u95f4\u8c03\u6574\u6613\u611f\u67d3\u4eba\u7fa4\u7684\u611f\u67d3\u7387\uff0c\u4ee5\u9002\u5e94\u53ef\u7528\u6570\u636e\u3002\u6b7b\u4ea1\u7387\u4e5f\u8fdb\u884c\u4e86\u4e8c\u6b21\u8c03\u6574\u3002\u6211\u4eec\u7684\u62df\u5408\u662f\u5728\u4ee5\u4e0b\u5047\u8bbe\u4e0b\u8fdb\u884c\u7684\uff1a\u7531\u4e8e\u6d4b\u8bd5\u6570\u91cf\u6709\u9650\uff0c\u56e0\u6b64\u5927\u90e8\u5206\u611f\u67d3\u4eba\u7fa4\u7684\u6d4b\u8bd5\u7ed3\u679c\u5747\u4e3a\u9634\u6027\u3002\u5728\u6700\u540e\u4e00\u90e8\u5206\u4e2d\uff0c\u6211\u4eec\u6269\u5c55\u6a21\u578b\u4ee5\u8003\u8651\u65b0\u6cfd\u897f\u5dde\uff08NJ\uff09\u548c\u7ebd\u7ea6\u5dde\u4e4b\u95f4\u7684\u6bcf\u65e5\u901a\u91cf\uff0c\u5e76\u62df\u5408\u8fd9\u4e24\u4e2a\u5dde\u7684\u6570\u636e\u3002\u6211\u4eec\u7684\u7b80\u5355\u6a21\u578b\u62df\u5408\u4e86\u53ef\u7528\u6570\u636e\uff0c\u5e76\u8bf4\u660e\u4e86\u8be5\u75be\u75c5\u7684\u5178\u578b\u52a8\u6001\uff1a\u6307\u6570\u589e\u52a0\uff0c\u9876\u70b9\u548c\u51cf\u5c11\u3002\u8be5\u6a21\u578b\u7a81\u51fa\u663e\u793a\u4e86\u8fd9\u6bb5\u65f6\u671f\u5185\u4f20\u64ad\u7387\u7684\u4e0b\u964d\uff0c\u4ece\u800c\u5b9a\u91cf\u8bf4\u660e\u4e86\u9501\u5b9a\u653f\u7b56\u5982\u4f55\u51cf\u5c11\u5927\u6d41\u884c\u7684\u8513\u5ef6\u3002\u5177\u6709NY\u548cNJ\u72b6\u6001\u7684\u8026\u5408\u6a21\u578b\u663e\u793a\u4e86\u5728NY\u6ce2\u6d6a\u4e4b\u540e\u7684NJ\u6ce2\u6d6a\uff0c\u8bf4\u660e\u4e86\u4ece\u4e00\u4e2a\u6709\u5438\u5f15\u529b\u7684\u70ed\u70b9\u4f20\u64ad\u5230\u5176\u90bb\u8fd1\u70b9\u7684\u673a\u5236\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    COVID-19\u8ddd\u79bb\u63aa\u65bd\u65f6\u4ee3\uff0c<\/strong><\/span><\/p>\n

    \u5730\u94c1\u670d\u52a1\u7684\u6700\u4f73\u9891\u7387\u8bbe\u7f6e<\/strong><\/span><\/strong><\/p>\n

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


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/section>\n
    Optimal frequency setting of metro services in the age of COVID-19 distancing measures<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05688<\/span><\/section>\n
    \u4f5c\u8005\uff1a <\/span><\/strong><\/section>\n
    Konstantinos Gkiotsalitis, Oded Cats<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u516c\u5171\u4ea4\u901a\u662fCOVID-19\u5927\u6d41\u884c\u4e2d\u53d7\u5e72\u6270\u6700\u5927\u7684\u90e8\u95e8\u4e4b\u4e00\uff0c\u636e\u62a5\u544a\uff0c\u5728\u53d7\u707e\u6700\u4e25\u91cd\u7684\u56fd\u5bb6\uff0c\u4e58\u5ba2\u6570\u91cf\u4e0b\u964d\u4e8690\uff05\u3002\u968f\u7740\u8bb8\u591a\u653f\u5e9c\u5f53\u5c40\u52aa\u529b\u90e8\u5206\u6062\u590d\u6d3b\u52a8\uff0c\u516c\u5171\u4ea4\u901a\u8fd0\u8425\u5546\u8feb\u5207\u9700\u8981\u80fd\u591f\u8bc4\u4f30\u4e0d\u540c\u7684\u793e\u4f1a\u758f\u8fdc\u653f\u7b56\u5bf9\u8fd0\u8425\u548c\u4e58\u5ba2\u76f8\u5173\u6210\u672c\u7684\u5f71\u54cd\u7684\u6a21\u578b\u3002\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u5f15\u5165\u4e86\u6df7\u5408\u6574\u6570\u4e8c\u6b21\u89c4\u5212\u6a21\u578b\uff0c\u7528\u4e8e\u901a\u8fc7\u8bc4\u4f30\u4e0d\u540c\u7684\u793e\u4f1a\u758f\u8fdc\u653f\u7b56\u7684\u5f71\u54cd\u6765\u8003\u8651\u8fd0\u8425\uff0c\u4e58\u5ba2\u548c\u6536\u5165\u635f\u5931\u76f8\u5173\u6210\u672c\u7684\u516c\u5171\u4ea4\u901a\u670d\u52a1\u7684\u91cd\u65b0\u8bbe\u8ba1\u3002\u6211\u4eec\u7684\u6a21\u578b\u5e94\u7528\u4e8e\u534e\u76db\u987f\u7279\u533a\u7684\u5730\u94c1\u7f51\u7edc\uff0c\u5e76\u9488\u5bf9\u4e0d\u540c\u7684\u793e\u4f1a\u8ddd\u79bb\u573a\u666f\u63d0\u4f9b\u4e86\u8de8\u7ebf\u8f66\u8f86\u7684\u6700\u4f73\u518d\u5206\u914d\u3002\u8be5\u6a21\u578b\u53ef\u4ee5\u88ab\u9700\u8981\u8bc4\u4f30\u4e0e\u5b9e\u65bd\u4e0d\u540c\u793e\u4f1a\u758f\u8fdc\u653f\u7b56\u76f8\u5173\u7684\u6210\u672c\u7684\u5176\u4ed6\u51b3\u7b56\u8005\u548c\u516c\u5171\u4ea4\u901a\u8fd0\u8425\u5546\u7528\u4f5c\u51b3\u7b56\u652f\u6301\u5de5\u5177\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u901a\u8fc7\u793e\u4ea4\u8ddd\u79bb\u8fdb\u884c\u7684<\/strong><\/span><\/p>\n

    SIR\u6d41\u884c\u75c5\u6a21\u578b\u6700\u4f73\u514d\u75ab\u63a7\u5236<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/section>\n
    Optimal immunity control by social distancing for the SIR epidemic model<\/span><\/section>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05733<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Pierre-Alexandre Bliman (MAMBA, LJLL), Michel Duprez (CEREMADE), Yannick Privat (IRMA, TONUS), Nicolas Vauchelet (LAGA)<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u627e\u5230\u9488\u5bf9SARS-CoV-2\u51a0\u72b6\u75c5\u6bd2\u7684\u75ab\u82d7\u6216\u7597\u6cd5\u4e4b\u524d\uff0c\u8fbe\u5230\u7fa4\u4f53\u514d\u75ab\u4f3c\u4e4e\u662f\u552f\u4e00\u7684\u4e2d\u671f\u9009\u62e9\u3002\u4f46\u662f\uff0c\u5982\u679c\u611f\u67d3\u4e2a\u4f53\u7684\u6570\u91cf\u51cf\u5c11\u5e76\u4e14\u6700\u7ec8\u4ec5\u5728\u8d85\u8fc7\u6b64\u9608\u503c\u65f6\u624d\u9010\u6e10\u6d88\u5931\uff0c\u90a3\u4e48\u5728\u6d41\u884c\u75c5\u7ed3\u675f\u4e4b\u524d\uff0c\u4ecd\u6709\u76f8\u5f53\u4e00\u90e8\u5206\u6613\u611f\u8005\u53ef\u80fd\u4ecd\u88ab\u611f\u67d3\u3002\u5728\u6ca1\u6709\u53d1\u73b0\u75ab\u82d7\u6216\u7597\u6cd5\u7684\u6700\u574f\u60c5\u51b5\u4e0b\uff0c\u904f\u5236\u7b56\u7565\u53ef\u80fd\u662f\u6700\u597d\u7684\u7b56\u7565\u3002\u4e3a\u4e86\u5c06\u65b0\u611f\u67d3\u8005\u7684\u6570\u91cf\u4fdd\u6301\u5728\u6700\u4f4e\u6c34\u5e73\uff0c\u4e00\u79cd\u53ef\u884c\u7684\u7b56\u7565\u662f\u91c7\u53d6\u4e25\u683c\u7684\u6536\u5bb9\u63aa\u65bd\uff0c\u4ee5\u4f7f\u6613\u611f\u4eba\u7fa4\u7684\u6570\u91cf\u4fdd\u6301\u63a5\u8fd1\u755c\u7fa4\u514d\u75ab\u7684\u6c34\u5e73\u3002\u8fd9\u6837\u7684\u884c\u52a8\u662f\u4e0d\u73b0\u5b9e\u7684\uff0c\u56e0\u4e3a\u904f\u5236\u53ea\u80fd\u6301\u7eed\u6709\u9650\u7684\u65f6\u95f4\uff0c\u800c\u4e14\u6c38\u8fdc\u4e0d\u4f1a\u5b8c\u5168\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u7ecf\u5178\u7684SIR\u6a21\u578b\uff0c\u5728\u7ed9\u5b9a\u7684\u6709\u9650\u65f6\u95f4\u95f4\u9694\u5185\u786e\u5b9a\uff08\u90e8\u5206\u6216\u5168\u90e8\uff09\u904f\u5236\u7b56\u7565\uff0c\u8be5\u7b56\u7565\u5c06\u5728\u65e0\u9650\u8fdc\u7684\u65f6\u95f4\u8303\u56f4\u5185\u6700\u5927\u5316\u6613\u611f\u4e2a\u4f53\u7684\u6570\u91cf\uff0c\u6216\u8005\u7b49\u6548\u5730\u6700\u5c0f\u5316\u5728\u53d7\u8bc5\u5492\u671f\u95f4\u7684\u603b\u611f\u67d3\u8d1f\u62c5\u6d41\u884c\u3002\u8bc1\u660e\u4e86\u6700\u4f18\u7b56\u7565\u7684\u5b58\u5728\u6027\u548c\u552f\u4e00\u6027\uff0c\u5e76\u5bf9\u540e\u8005\u8fdb\u884c\u4e86\u5145\u5206\u7684\u8868\u5f81\u3002\u5982\u679c\u5728\u5b9e\u8df5\u4e2d\u53ef\u884c\uff0c\u5219\u8fd9\u79cd\u7b56\u7565\u5728\u7406\u8bba\u4e0a\u5c06\u5bfc\u81f4\u65e0\u9650\u8fdc\u671f\u7684\u6613\u611f\u4eba\u7fa4\u6bd4\u4f8b\u589e\u52a030\uff05\uff0c\u8fbe\u5230\u4e0e2020\u5e743\u6708\u81f32020\u5e745\u6708\u6cd5\u56fd\u5b9e\u65bd\u7684\u536b\u751f\u63aa\u65bd\u76f8\u5bf9\u5e94\u7684\u904f\u5236\u6c34\u5e73\u3002\u8fbe\u5230\u4e0e\u755c\u7fa4\u514d\u75ab\u529b\u56fa\u5b9a\u8ddd\u79bb\u7684\u6700\u77ed\u5e72\u9884\u65f6\u95f4\uff0c\u5e76\u663e\u793a\u4e0e\u5148\u524d\u95ee\u9898\u7684\u5173\u7cfb\u3002\u63d0\u4f9b\u7684\u4eff\u771f\u8bf4\u660e\u548c\u9a8c\u8bc1\u4e86\u7406\u8bba\u7ed3\u679c\u3002<\/span><\/section>\n


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

    \n
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    <\/p>\n

    \u53cc\u7a33\u6001\u4f20\u67d3\u52a8\u529b\u5b66\u7684\u8870\u8001\u548c\u677e\u5f1b<\/strong><\/span><\/strong><\/p>\n

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


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Aging and relaxation in bistable contagion dynamics<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05937<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Paul Richter, Malte Henkel, Lucas B\u00f6ttcher<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5bf9\u4e8e\u4e00\u822c\u7684\u4f20\u67d3\u6a21\u578b\uff0c\u5206\u6790\u4e86\u540e\u671f\u677e\u5f1b\u52a8\u529b\u5b66\u3002\u5728\u6b64\u6a21\u578b\u4e2d\uff0c\u8282\u70b9\u5904\u4e8e\u6d3b\u52a8\u72b6\u6001\u6216\u5931\u8d25\u3002\u5982\u679c\u6d3b\u52a8\u8282\u70b9\u7684\u90bb\u57df\u53d7\u5230\u5145\u5206\u7834\u574f\uff0c\u5219\u5b83\u4eec\u53ef\u4ee5\u968f\u65f6\u81ea\u53d1”\u6216\u5916\u90e8\u2019\u2019\u5931\u6548\u3002\u5931\u8d25\u7684\u8282\u70b9\u53ef\u80fd\u59cb\u7ec8\u4f1a\u81ea\u53d1\u6062\u590d\u3002\u5728\u540e\u671f\uff0c\u6253\u7834\u65f6\u95f4\u5e73\u79fb\u4e0d\u53d8\u6027\u662f\u7269\u7406\u8001\u5316\u7684\u5fc5\u8981\u6761\u4ef6\u3002\u7684\u786e\uff0c\u6211\u4eec\u89c2\u5bdf\u5230\uff0c\u521d\u59cb\u6761\u4ef6\u4f4d\u4e8e\u6a21\u578b\u7684\u4e24\u4e2a\u7a33\u5b9a\u5e73\u7a33\u72b6\u6001\u4e4b\u95f4\uff0c\u521d\u59cb\u6761\u4ef6\u5931\u53bb\u4e86\u65f6\u95f4\u5e73\u79fb\u4e0d\u53d8\u6027\u3002\u57fa\u4e8e\u76f8\u5e94\u7684\u5e73\u5747\u573a\u9884\u6d4b\uff0c\u6211\u4eec\u901a\u8fc7\u76f8\u56fe\u6765\u8868\u5f81\u89c2\u5bdf\u5230\u7684\u6a21\u578b\u884c\u4e3a\uff0c\u76f8\u56fe\u7531\u81ea\u53d1\u548c\u5916\u90e8\u6545\u969c\u8282\u70b9\u7684\u5206\u6570\u6240\u8986\u76d6\u3002\u5bf9\u4e8e\u6b63\u65b9\u5f62\u6676\u683c\uff0c\u7531\u4e8e\u7a7a\u95f4\u76f8\u5173\u6548\u5e94\uff0c\u52a8\u529b\u5b66\u63a5\u8fd1\u4e24\u4e2a\u7a33\u5b9a\u7a33\u6001\u4e4b\u4e00\u7684\u76f8\u4f4d\u4e0d\u53ef\u7ebf\u6027\u5206\u79bb\u3002\u6211\u4eec\u7684\u7ed3\u679c\u63d0\u4f9b\u4e86\u5bf9\u8001\u5316\u548c\u677e\u5f1b\u73b0\u8c61\u7684\u65b0\u89c1\u89e3\uff0c\u8fd9\u4e9b\u73b0\u8c61\u53ef\u4ee5\u5728\u4e00\u822c\u7684\u4f20\u67d3\u8fc7\u7a0b\u6a21\u578b\u4e2d\u89c2\u5bdf\u5230\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    Covid-19\u4f20\u64ad\u9884\u6d4b\u6a21\u578b\u5e94\u7528\u4e8e\u7f8e\u56fd\u516d\u4e2a\u5dde<\/strong><\/span><\/strong><\/p>\n

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


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/section>\n
    A predictive model for Covid-19 spread applied to six US states<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05955<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Zeina S. Khan, Frank Van Bussel, Fazle Hussain<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u63d0\u51fa\u4e86\u4e00\u79cd\u9694\u95f4\u6d41\u884c\u75c5\u6a21\u578b\u6765\u9884\u6d4bCovid-19\u75c5\u6bd2\u7684\u4f20\u64ad\u3002\u5b83\u8003\u8651\u4e86\uff1a\u5df2\u53d1\u73b0\u548c\u672a\u53d1\u73b0\u7684\u611f\u67d3\u4eba\u7fa4\uff0c\u533b\u7597\u9694\u79bb\u548c\u793e\u4f1a\u9694\u79bb\uff0c\u4ee5\u53ca\u53ef\u80fd\u7684\u518d\u6b21\u611f\u67d3\u3002\u901a\u8fc7\u62df\u5408\u7f8e\u56fd\u516d\u4e2a\u5dde\uff08\u52a0\u5229\u798f\u5c3c\u4e9a\u5dde\uff0c\u8def\u6613\u65af\u5b89\u90a3\u5dde\uff0c\u65b0\u6cfd\u897f\u5dde\uff0c\u7ebd\u7ea6\u5dde\uff0c\u5fb7\u514b\u8428\u65af\u5dde\u548c\u534e\u76db\u987f\u5dde\uff09\u7684\u7ecf\u9a8c\u6570\u636e\u6765\u8bc4\u4f30\u6a21\u578b\u4e2d\u7684\u7cfb\u6570\u3002\u5404\u5dde\u4e4b\u95f4Covid-19\u7684\u6f14\u53d8\u975e\u5e38\u76f8\u4f3c\uff1a\u63a5\u89e6\u7387\u548c\u68c0\u6d4b\u7387\u4fdd\u6301\u57285\uff05\u4ee5\u4e0b\uff1b\u4f46\u662f\uff0c\u6b7b\u4ea1\u7387\uff0c\u6062\u590d\u7387\u548c\u5728\u5bb6\u4e2d\u7684\u5f71\u54cd\u5dee\u5f02\u8f83\u5927\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5728\u9996\u6b21\u53d1\u73b0\u4e4b\u524d\uff0c\u51e0\u4e2a\u5dde\u53ef\u80fd\u5df2\u7ecf\u5728\u7206\u53d1\u79bd\u6d41\u611f\uff0c\u800c\u4e14\u67d0\u4e9b\u897f\u65b9\u5dde\u53ef\u80fd\u5df2\u7ecf\u76ee\u7779\u4e86\u591a\u6b21\u6d41\u611f\u5927\u6d41\u884c\u3002\u5bf9\u4e8e\u5927\u591a\u6570\u5dde\uff0c\u8be5\u6a21\u578b\u7684\u6709\u6548\u7e41\u6b96\u6570\u7565\u9ad8\u4e8e\u4e00\u4e2a\u4e34\u754c\u503c\uff0c\u8fd9\u8868\u660eCovid-19\u5c06\u6210\u4e3a\u5730\u65b9\u75c5\uff0c\u4f20\u64ad\u8d85\u8fc7\u4e24\u5e74\u3002\u5982\u679c\u53d6\u6d88\u5728\u5bb6\u4e2d\u4f7f\u7528\u7684\u8ba2\u5355\uff0c\u5927\u591a\u6570\u5dde\u53ef\u80fd\u4f1a\u7ecf\u5386\u6bcf\u5e74\u4e00\u6b21\u7684\u632f\u8361\u611f\u67d3\u3002\u5373\u4f7f\u5728\u5f97\u514b\u8428\u65af\u5dde\u5b9e\u65bd\u4e86\u5176\u4ed6\u5c01\u9501\u63aa\u65bd\uff0c\u7136\u540e\u6839\u636e\u767d\u5bab\u5173\u4e8e\u51cf\u5c11\u6848\u4ef614\u5929\u7684\u51c6\u5219\u4e88\u4ee5\u91ca\u653e\uff0c\u4e5f\u53ef\u80fd\u53d1\u751f\u7c7b\u4f3c\u7684\u5730\u65b9\u6027\u60c5\u51b5\u3002\u6b64\u5916\uff0c\u5982\u679c\u63d0\u524d\u4e00\u5230\u4e09\u5468\u8fdb\u884c\u9501\u5b9a\uff0c\u7ebd\u7ea6\u7684Covid-19\u6b7b\u4ea1\u4eba\u6570\u53ef\u80fd\u4f1a\u5927\u5927\u51cf\u5c11\uff0c\u4f46\u5f97\u514b\u8428\u65af\u5dde\u5374\u6ca1\u6709\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    COVID-19\u5168\u7403\u6570\u636e\u79d1\u5b66\u9879\u76ee\u6458\u8981\u62a5\u544a<\/strong><\/span><\/strong><\/p>\n

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


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a <\/span><\/strong><\/section>\n
    Global Data Science Project for COVID-19 Summary Report<\/span><\/section>\n
    \u5730\u5740\uff1a <\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05573<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Dario Garcia-Gasulla, Sergio Alvarez Napagao, Irene Li, Hiroshi Maruyama, Hiroki Kanezashi, Raquel P\u2019erez-Arnal, Kunihiko Miyoshi, Euma Ishii, Keita Suzuki, Sayaka Shiba, Mariko Kurokawa, Yuta Ka<\/span>nzawa, Naomi Nakagawa, Masatoshi Hanai, Yixin Li, Tianxiao Li<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u65e8\u5728\u63d0\u4f9bCOVID-19\u7684\u5168\u7403\u6570\u636e\u79d1\u5b66\u9879\u76ee\uff08GDSC\uff09\u7684\u6458\u8981\u3002\u622a\u81f32020\u5e745\u670831\u65e5\u3002COVID-19\u901a\u8fc7\u5e94\u5bf9\u75c5\u6bd2\u4f20\u64ad\u7684\u653f\u7b56\u63aa\u65bd\u6240\u4ea7\u751f\u7684\u76f4\u63a5\u548c\u95f4\u63a5\u5f71\u54cd\uff0c\u5bf9\u6211\u4eec\u7684\u793e\u4f1a\u4ea7\u751f\u4e86\u91cd\u5927\u5f71\u54cd\u3002\u6211\u4eec\u5b9a\u91cf\u5206\u6790\u4e86COVID-19\u5927\u6d41\u884c\u5bf9\u6211\u4eec\u793e\u4f1a\u7684\u591a\u65b9\u9762\u5f71\u54cd\uff0c\u5305\u62ec\u4eba\u4eec\u7684\u51fa\u884c\uff0c\u5065\u5eb7\u548c\u793e\u4f1a\u884c\u4e3a\u53d8\u5316\u3002\u7531\u4e8e\u51fa\u884c\u9650\u5236\u548c\u68c0\u75ab\u63aa\u65bd\u7684\u5b9e\u65bd\uff0c\u4eba\u4eec\u7684\u6d41\u52a8\u6027\u53d1\u751f\u4e86\u5de8\u5927\u53d8\u5316\u3002\u5b9e\u9645\u4e0a\uff0c\u7269\u7406\u8ddd\u79bb\u5728\u56fd\u9645\uff08\u8de8\u5883\uff09\uff0c\u56fd\u5bb6\u548c\u5730\u533a\u7ea7\u522b\u4e0a\u5df2\u7ecf\u6269\u5927\u3002\u5728\u56fd\u9645\u5c42\u9762\uff0c\u7531\u4e8e\u65c5\u884c\u9650\u5236\uff0c\u4e09\u6708\u4efd\u56fd\u9645\u822a\u73ed\u603b\u6570\u603b\u4f53\u4e0b\u964d\u4e86\u7ea688\uff05\u3002\u7279\u522b\u662f\uff0c3\u6708\u4e2d\u65ec\uff0c\u7f8e\u56fd\u5ba3\u5e03\u5bf9\u6b27\u6d32\u548c\u6b27\u76df\u7684\u65c5\u884c\u9650\u5236\uff0c\u800c\u4e0e\u4f1a\u56fd\u540c\u610f\u5173\u95ed\u8fb9\u754c\u540e\uff0c\u8fde\u63a5\u6b27\u6d32\u7684\u822a\u73ed\u6570\u91cf\u6025\u5267\u4e0b\u964d\uff0c\u4e0e3\u670810\u65e5\u76f8\u6bd4\u4e0b\u964d\u4e8684\uff05\u3002\u540c\u6837\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u68c0\u75ab\u63aa\u65bd\u5bf9\u4e3b\u8981\u57ce\u5e02\u7684\u5f71\u54cd\uff1a\u4e1c\u4eac\uff08\u65e5\u672c\uff09\uff0c\u7ebd\u7ea6\uff08\u7f8e\u56fd\uff09\u548c\u5df4\u585e\u7f57\u90a3\uff08\u897f\u73ed\u7259\uff09\u3002\u5728\u6240\u6709\u4e09\u4e2a\u57ce\u5e02\u4e2d\uff0c\u6211\u4eec\u53d1\u73b0\u4ea4\u901a\u91cf\u663e\u8457\u4e0b\u964d\u3002\u6211\u4eec\u8fd8\u901a\u8fc7\u5206\u6790\u793e\u4f1a\u7f51\u7edc\u670d\u52a1\uff08\u4f8b\u5982Twitter\u548cInstagram\uff09\u4e0a\u7684\u5e16\u5b50\uff0c\u786e\u5b9a\u4e86\u4eba\u4eec\u5bf9\u5fc3\u7406\u5065\u5eb7\u7684\u65e5\u76ca\u5173\u6ce8\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u57282020\u5e744\u6708\u5f00\u59cb\uff0cInstagram\u4e0a\u5e26\u6709#depression\u7684\u5e16\u5b50\u6570\u91cf\u589e\u52a0\u4e86\u4e00\u500d\uff0c\u8fd9\u53ef\u80fd\u53cd\u6620\u51faInstagram\u7528\u6237\u4e2d\u5fc3\u7406\u5065\u5eb7\u610f\u8bc6\u7684\u63d0\u9ad8\u3002\u6b64\u5916\uff0c\u6211\u4eec\u901a\u8fc7\u5bf9Instagram\u6570\u636e\u548c\u4e3b\u8981\u8c03\u67e5\u6570\u636e\u7684\u5206\u6790\uff0c\u786e\u5b9a\u4e86\u4eba\u4eec\u5e7f\u6cdb\u7684\u793e\u4f1a\u884c\u4e3a\u7684\u53d8\u5316\u4ee5\u53ca\u7ecf\u6d4e\u5f71\u54cd\u3002<\/span><\/section>\n


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

    \n
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    <\/p>\n

    \u793e\u4ea4\u5a92\u4f53\u548cCOVID-19\uff1a<\/strong><\/span><\/p>\n

    \u80fd\u5426\u5728\u4e0d\u8861\u91cf<\/strong><\/span>\u4eba\u7c7b\u6d3b\u52a8<\/strong><\/p>\n

    \u7684\u60c5\u51b5\u4e0b\u91cf\u5316\u793e\u4f1a\u8ddd\u79bb\uff1f<\/strong><\/p>\n

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

    <\/span>
    <\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Social Media and COVID-19: Can Social Distancing be Quantified without Measuring Human Movements?<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05316<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Mackenzie Anderson, Amir Karami, Parisa Bozorgi<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>COVID-19\u7206\u53d1\u5bf9\u56fd\u9645\u536b\u751f\u548c\u7ecf\u6d4e\u6784\u6210\u4e86\u91cd\u5927\u5a01\u80c1\u3002\u5728\u672a\u5bf9\u6b64\u75c5\u6bd2\u8fdb\u884c\u6cbb\u7597\u7684\u60c5\u51b5\u4e0b\uff0c\u516c\u5171\u536b\u751f\u5b98\u5458\u8981\u6c42\u516c\u4f17\u8fdb\u884c\u793e\u4ea4\u758f\u5bfc\uff0c\u4ee5\u51cf\u5c11\u8eab\u4f53\u63a5\u89e6\u7684\u6b21\u6570\u3002\u4f46\u662f\uff0c\u91cf\u5316\u793e\u4f1a\u8ddd\u79bb\u662f\u4e00\u9879\u8270\u5de8\u7684\u4efb\u52a1\uff0c\u5f53\u524d\u7684\u65b9\u6cd5\u662f\u57fa\u4e8e\u4eba\u7c7b\u7684\u8fd0\u52a8\u3002\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u8282\u7701\u65f6\u95f4\u548c\u6210\u672c\u7684\u65b9\u6cd5\u6765\u8861\u91cf\u4eba\u4eec\u5982\u4f55\u5b9e\u8df5\u793e\u4f1a\u758f\u79bb\u3002\u8fd9\u9879\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd\u5229\u7528\u6807\u7b7e\u6807\u7b7e\u9891\u7387\u652f\u6301\u548c\u9f13\u52b1\u793e\u4f1a\u8ddd\u79bb\u6765\u8861\u91cf\u793e\u4f1a\u8ddd\u79bb\u7684\u65b0\u65b9\u6cd5\u3002\u6211\u4eec\u5df2\u7ecf\u786e\u5b9a\u4e8618\u4e2a\u76f8\u5173\u7684\u6807\u7b7e\uff0c\u5e76\u8ddf\u8e2a\u4e86\u5b83\u4eec\u57282020\u5e741\u6708\u81f32020\u5e745\u6708\u4e4b\u95f4\u7684\u8d8b\u52bf\u3002\u6211\u4eec\u7684\u8bc4\u4f30\u7ed3\u679c\u8868\u660e\uff0c\u6211\u4eec\u7684\u53d1\u73b0\u4e0eGoogle\u793e\u4ea4\u8ddd\u79bb\u62a5\u544a\u4e4b\u95f4\u5b58\u5728\u5f88\u5f3a\u7684\u76f8\u5173\u6027\uff08P <0.05\uff09\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    \u5173\u4e8e\u6d41\u52a8\u6027\u548c\u4f4f\u9662\u80fd\u529b\u4e4b\u95f4<\/strong><\/span><\/p>\n

    \u7684\u76f8\u4e92\u4f5c\u7528\uff1aSEIRHUD\u6a21\u578b<\/strong><\/span><\/strong><\/p>\n

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

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

    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    On the interplay between mobility and hospitalization capacity: The SEIRHUD model<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05357<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Tomas Veloz, Pedro Maldonado, Samuel Ropert, Cesar Ravello, Soraya Mora, Alejandra Barrios, Tomas Villaseca, Cesar Valdenegro, Tomas Perez-Acle<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u51cf\u5c11COVID19\u5f71\u54cd\u7684\u63aa\u65bd\u9700\u8981\u7efc\u5408\u540e\u52e4\uff0c\u653f\u6cbb\u548c\u793e\u4f1a\u80fd\u529b\u3002\u89c6\u56fd\u5bb6\/\u5730\u533a\u800c\u5b9a\uff0c\u89c2\u5bdf\u5230\u589e\u52a0\u4f4f\u9662\u6cbb\u7597\u6216\u9002\u5f53\u5b9e\u65bd\u9501\u5b9a\u63aa\u65bd\u7684\u80fd\u529b\u6709\u6240\u4e0d\u540c\u3002\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u8fd9\u4e9b\u63aa\u65bd\u7684\u5f71\u54cd\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u4e2a\u9694\u95f4\u6a21\u578b\uff0c\u4e00\u65b9\u9762\u53ef\u4ee5\u6821\u51c6\u4e0d\u540c\u533a\u57df\u5185\u548c\u4e0d\u540c\u533a\u57df\u4e4b\u95f4\u4eba\u5458\u6d41\u52a8\u7684\u51cf\u5c11\uff0c\u53e6\u4e00\u65b9\u9762\uff0c\u5b83\u7ed3\u5408\u4e86\u4f4f\u9662\u52a8\u6001\u6765\u533a\u5206\u611f\u67d3\u8005\u53ef\u4ee5\u63a5\u53d7\u7684\u5404\u79cd\u6cbb\u7597\u65b9\u6cd5\u3002\u901a\u8fc7\u9650\u5236\u4f4f\u9662\u80fd\u529b\uff0c\u6211\u4eec\u53ef\u4ee5\u8be6\u7ec6\u7814\u7a76\u6d41\u52a8\u6027\u548c\u4f4f\u9662\u80fd\u529b\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u3002<\/span><\/section>\n


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

    \u901a\u8fc7\u968f\u673aSEIR\u6a21\u578b\u6a21\u62df\u6cd5\u56fd<\/strong><\/span><\/p>\n

    \u548c\u610f\u5927\u5229\u7684\u7b2c\u4e8c\u6ce2COVID-19\u611f\u67d3<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Modelling the second wave of COVID-19 infections in France and Italy via a Stochastic SEIR model<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05081<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Davide Faranda, Tommaso Alberti<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>COVID-19\u5df2\u5728\u5168\u7403\u591a\u4e2a\u56fd\u5bb6\/\u5730\u533a\u5f3a\u5236\u5b9e\u65bd\u4e86\u9694\u79bb\u63aa\u65bd\u3002\u4e8b\u5b9e\u8bc1\u660e\uff0c\u8fd9\u4e9b\u63aa\u65bd\u53ef\u6709\u6548\u51cf\u5c11\u75c5\u6bd2\u7684\u6d41\u884c\u3002\u8fc4\u4eca\u4e3a\u6b62\uff0c\u5c1a\u65e0\u6709\u6548\u7684\u6cbb\u7597\u65b9\u6cd5\u6216\u75ab\u82d7\u3002\u4e3a\u4e86\u7ef4\u62a4\u516c\u5171\u536b\u751f\u4ee5\u53ca\u7ecf\u6d4e\u548c\u793e\u4f1a\u7ed3\u6784\uff0c\u6cd5\u56fd\u548c\u610f\u5927\u5229\u653f\u5e9c\u5df2\u90e8\u5206\u89e3\u9664\u9501\u5b9a\u63aa\u65bd\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u4f7f\u7528\u6613\u611f\u66b4\u9732-\u611f\u67d3-\u6062\u590d\uff08SEIR\uff09\u6a21\u578b\u63a8\u65ad\u8fd9\u4e24\u4e2a\u56fd\u5bb6\u7684\u6d41\u884c\u75c5\u7684\u957f\u671f\u884c\u4e3a\uff0c\u8be5\u6a21\u578b\u4f1a\u968f\u673a\u6270\u52a8\u53c2\u6570\u4ee5\u5904\u7406COVID-19\u6d41\u884c\u7387\u4f30\u8ba1\u4e2d\u7684\u4e0d\u786e\u5b9a\u6027\u3002\u6211\u4eec\u7684\u7ed3\u679c\u8868\u660e\uff0c\u53c2\u6570\u548c\u521d\u59cb\u6761\u4ef6\u7684\u4e0d\u786e\u5b9a\u6027\u90fd\u4f1a\u5728\u6a21\u578b\u4e2d\u8fc5\u901f\u4f20\u64ad\uff0c\u5e76\u4e14\u53ef\u80fd\u5bfc\u81f4\u6d41\u884c\u75c5\u7684\u4e0d\u540c\u7ed3\u679c\uff0c\u5bfc\u81f4\u6216\u4e0d\u5f15\u8d77\u7b2c\u4e8c\u6ce2\u611f\u67d3\u3002\u4f7f\u7528\u5b9e\u9645\u77e5\u8bc6\uff0c\u5728\u4e24\u4e2a\u56fd\u5bb6\u4e2d\uff0cCOVID-19\u6d41\u884c\u7387\u7684\u6e10\u8fd1\u4f30\u8ba1\u53ef\u80fd\u4f1a\u6ce2\u52a8\u4e00\u5343\u4e07\u4e2a\u5355\u4f4d\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4e24\u4e2a\u793e\u533a\u7684\u6545\u4e8b\uff1a<\/strong><\/span><\/p>\n

    \u901a\u8fc7\/r\/China_Flu\u548c\/r\/Coronavirus<\/strong><\/span><\/p>\n

    \u8868\u5f81Reddit\u5bf9COVID-19\u7684\u54cd\u5e94<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    A Tale of Two Communities: Characterizing Reddit Response to COVID-19 through \/r\/China_Flu and \/r\/Coronavirus<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.04816<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Jason Shuo Zhang, Brian C. Keegan, Qin Lv, Chenhao Tan<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>COVID-19\u5927\u6d41\u884c\u4e25\u91cd\u5f71\u54cd\u4e86\u5168\u7403\u4eba\u4eec\u7684\u751f\u6d3b\u3002\u5728\u5927\u6d41\u884c\u9020\u6210\u7684\u957f\u671f\u5c01\u9501\u671f\u95f4\uff0c\u5728\u7ebf\u793e\u533a\u5bf9\u4e8e\u4eba\u4eec\u8bbf\u95ee\u4fe1\u606f\u548c\u5206\u4eab\u7ecf\u9a8c\u81f3\u5173\u91cd\u8981\u3002\u7279\u522b\u662f\u5728Reddit\u4e0a\u51fa\u73b0\u4e86\u4e24\u4e2a\u201c\u65b0\u201d\u793e\u533a\uff1a\/ r \/ China_flu\u548c\/ r \/ Coronavirus\u3002\u901a\u8fc7\u7814\u7a76\u8fd9\u4e24\u4e2a\u793e\u533a\u4e2d\u7684\u6d3b\u52a8\u548c\u7528\u6237\uff0c\u6211\u4eec\u53ef\u4ee5\u8868\u5f81\u4eba\u4eec\u5bf9Reddit\u4e0aCOVID-19\u7684\u53cd\u5e94\u3002\u9996\u5148\uff0c\u6211\u4eec\u53d1\u73b0\u7528\u6237\u6d3b\u52a8\u57283\u670817\u65e5\u5de6\u53f3\u8fbe\u5230\u9ad8\u5cf0\uff0c\u5f53\u65f6\u4e16\u754c\u536b\u751f\u7ec4\u7ec7\uff08WHO\uff09\u5ba3\u5e03COVID-19\u4e3a\u5927\u6d41\u884c\u75c5\u3002\u6b64\u540e\u4e0d\u4e45\uff0c\u4e24\u4e2a\u793e\u533a\u7684\u6d3b\u52a8\u6c34\u5e73\u9010\u5468\u4e0b\u964d\u3002\u6211\u4eec\u8fdb\u4e00\u6b65\u8bf4\u660e\u4e86\u8fd9\u4e24\u4e2a\u793e\u533a\u5728COVID\u76f8\u5173\u793e\u533a\u7684\u51fa\u73b0\u4e2d\u7684\u6838\u5fc3\u4f5c\u7528\u3002\u5176\u6b21\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u8fd9\u4e24\u4e2a\u793e\u533a\u4e4b\u95f4\u7684\u5dee\u5f02\u3002\u5efa\u8bae\u5728Reddit\u4e0a\u5c06\/ r \/ Coronavirus\u4f5c\u4e3aCOVID-19\u7684\u5b98\u65b9\u793e\u533a\uff0c\u800c\/ r \/ China_flu\u91c7\u7528\u5bbd\u677e\u7684\u7ba1\u7406\u63aa\u65bd\u3002\u7ed3\u679c\uff0c\u6211\u4eec\u53d1\u73b0\u8fd9\u4e24\u4e2a\u793e\u533a\u6b63\u5728\u9010\u6e10\u5206\u5316\uff0c\u5e76\u4e14\u5728\/ r \/ China_flu\u4e2d\u53d1\u73b0\u4e86\u66f4\u591a\u7684\u6781\u7aef\u4e3b\u4e49\u3002\u6700\u540e\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u6574\u4e2aReddit\u5e73\u53f0\u4e0aCOVID-19\u5927\u6d41\u884c\u5bf9\u7528\u6237\u6d3b\u52a8\u7684\u6ea2\u51fa\u6548\u5e94\u3002\u6211\u4eec\u7684\u7ed3\u679c\u8868\u660e\uff0c\u4e0eCOVID\u76f8\u5173\u7684\u793e\u533a\u4e4b\u5916\u7684\u7528\u6237\u6d3b\u52a8\u53d1\u751f\u4e86\u91cd\u5927\u53d8\u5316\u3002\u5728\u4e0e\u91d1\u878d\uff0c\u98df\u54c1\u548c\u56fd\u5bb6\/\u57ce\u5e02\u6709\u5173\u7684\u5b50\u76ee\u5f55\u4e2d\uff0c\u968f\u7740\u56fd\u5bb6\u7684\u91cd\u65b0\u5f00\u653e\uff0c\u7528\u6237\u6d3b\u52a8\u57284\u6708\u4e0b\u65ec\u548c5\u6708\u6062\u590d\u5230\u5927\u6d41\u884c\u524d\u7684\u6c34\u5e73\uff0c\u4f46\u662f\u4e0e\u65c5\u884c\u548c\u4f53\u80b2\u76f8\u5173\u7684\u5b50\u76ee\u5f55\u4ecd\u7136\u53d7\u5230\u4e25\u91cd\u5f71\u54cd\uff0c\u6d3b\u52a8\u6c34\u5e73\u4f4e\u4e8e\u524d\u8005\u3002\u5927\u6d41\u884c\u671f\u3002\u6211\u4eec\u7684\u5de5\u4f5c\u7a81\u663e\u4e86Reddit\u4f5c\u4e3a\u4e86\u89e3\u516c\u4f17\u5bf9COVID-19\u7684\u53cd\u5e94\u7684\u6765\u6e90\u7684\u529b\u91cf\uff0c\u4ee5\u53ca\u5728\u5927\u6d41\u884c\u671f\u95f4Internet\u4e0a\u7684\u5185\u5bb9\u5ba1\u6838\u7684\u91cd\u8981\u6027\u3002<\/span><\/section>\n


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

    \n
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    <\/p>\n

    \u6709\u5bc4\u751f\u866b\u611f\u67d3\u7684\u793e\u4f1a\u884c\u4e3a\u7684\u6ede\u540e\u6548\u5e94<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Hysteresis Effects in Social Behavior with Parasitic Infection<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/1910.09746<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Michael Phillips<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6700\u8fd1\u7684\u5de5\u4f5c\u53d1\u73b0\uff0c\u88ab\u5bc4\u751f\u866b\u611f\u67d3\u65f6\uff0c\u4e2a\u4f53\u7684\u884c\u4e3a\u53ef\u4ee5\u6539\u53d8\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u63a2\u8ba8\u4e00\u4e2a\u95ee\u9898\uff1a\u539f\u5219\u4e0a\uff0c\u4e00\u822c\u60c5\u51b5\u4e0b\uff0c\u4e00\u822c\u6027\u5bc4\u751f\u866b\u611f\u67d3\u80fd\u5426\u63a7\u5236\u6574\u4e2a\u7cfb\u7edf\u7684\u793e\u4f1a\u884c\u4e3a\uff1f\u6211\u4eec\u5728Master\u65b9\u7a0b\u4e0b\u5206\u6790\u56fa\u5b9a\u70b9\u548c\u6ede\u540e\u6548\u5e94\uff0c\u5728\u603b\u4f53\u4fdd\u6301\u56fa\u5b9a\u7684\u603b\u4f53\u4e2d\uff0c\u5728\u7ed9\u5b9a\u4e24\u4e2a\u4e0d\u540c\u7684\u4e9a\u4eba\u7fa4\uff08\u5065\u5eb7\u4eba\u7fa4\u4e0e\u5bc4\u751f\u866b\u611f\u67d3\u4eba\u7fa4\uff09\u7684\u4e24\u79cd\u884c\u4e3a\u4e4b\u95f4\u8fdb\u884c\u8f6c\u6362\u3002\u5173\u952e\u7684\u6a21\u578b\u9009\u62e9\u662f\uff1a\uff08i\uff09\u88ab\u611f\u67d3\u4eba\u7c7b\u7684\u5185\u90e8\u610f\u89c1\u53ef\u80fd\u4e0e\u5065\u5eb7\u4eba\u7fa4\u7684\u5185\u90e8\u610f\u89c1\u4e0d\u540c\uff0c\uff08ii\uff09\u76f8\u4e92\u4f5c\u7528\u9a71\u52a8\u884c\u4e3a\u6539\u53d8\u7684\u7a0b\u5ea6\u4e5f\u53ef\u80fd\u4e0d\u540c\uff0c\u5e76\u4e14\uff08iii\uff09\u95f4\u63a5\u76f8\u4e92\u4f5c\u7528\u6700\u4e3a\u91cd\u8981\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u5373\u4f7f\u5065\u5eb7\u4eba\u7fa4\u5360\u591a\u6570\u5e76\u4e14\u6301\u76f8\u53cd\u610f\u89c1\uff0c\u4f46\u53d7\u5bc4\u751f\u866b\u611f\u67d3\u7684\u4eba\u7fa4\u53ef\u4ee5\u63a7\u5236\u793e\u4f1a\u7ed3\u6784\u3002<\/span><\/section>\n


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

    \n
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    <\/p>\n

    \u901a\u8fc7\u56fe\u7c97\u7c92\u5316\u548c\u5339\u914d<\/strong><\/span><\/p>\n

    \u8fdb\u884c\u5206\u5c42\u5927\u89c4\u6a21\u56fe\u76f8\u4f3c\u5ea6\u8ba1\u7b97<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Hierarchical Large-scale Graph Similarity Computation via Graph Coarsening and Matching<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2005.07115<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u4e13\u6ce8\u4e8e\u5927\u578b\u56fe\u76f8\u4f3c\u6027\u8ba1\u7b97\u95ee\u9898\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u9896\u7684\u5d4c\u5165-\u7c97\u5316-\u5339\u914d”\u5b66\u4e60\u6846\u67b6\uff0c\u8be5\u6846\u67b6\u5728\u6b64\u4efb\u52a1\u4e2d\u4f18\u4e8e\u6700\u65b0\u65b9\u6cd5\uff0c\u5e76\u4e14\u5728\u65f6\u95f4\u6548\u7387\u4e0a\u6709\u663e\u8457\u6539\u5584\u3002\u8bf8\u5982\u201c\u56fe\u7f16\u8f91\u8ddd\u79bb\u201d\uff08GED\uff09\u4e4b\u7c7b\u7684\u5ea6\u91cf\u7684\u56fe\u76f8\u4f3c\u6027\u8ba1\u7b97\u901a\u5e38\u662fNP\u96be\u7684\uff0c\u5e76\u4e14\u73b0\u6709\u7684\u57fa\u4e8e\u542f\u53d1\u5f0f\u7684\u7b97\u6cd5\u901a\u5e38\u4f1a\u5728\u51c6\u786e\u6027\u548c\u6548\u7387\u4e4b\u95f4\u53d6\u5f97\u4e0d\u4ee4\u4eba\u6ee1\u610f\u7684\u6298\u8877\u3002\u6700\u8fd1\uff0c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u7684\u53d1\u5c55\u901a\u8fc7\u4e00\u79cd\u6570\u636e\u9a71\u52a8\u7684\u65b9\u6cd5\u4e3a\u8be5\u95ee\u9898\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6709\u524d\u9014\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u8be5\u65b9\u6cd5\u8bad\u7ec3\u7f51\u7edc\u5c06\u56fe\u7f16\u7801\u4e3a\u5b83\u4eec\u81ea\u5df1\u7684\u7279\u5f81\u5411\u91cf\u5e76\u57fa\u4e8e\u7279\u5f81\u5411\u91cf\u8ba1\u7b97\u76f8\u4f3c\u5ea6\u3002\u8fd9\u4e9b\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u53ef\u4ee5\u5206\u4e3a\u4e24\u7c7b\uff1a\u5d4c\u5165\u6a21\u578b\u548c\u5339\u914d\u6a21\u578b\u3002\u76f4\u63a5\u5c06\u56fe\u6620\u5c04\u5230\u76f8\u5e94\u7279\u5f81\u5411\u91cf\u7684\u5d4c\u5165\u5f0f\u6a21\u578b\uff08\u4f8b\u5982GCN-Mean\u548cGCN-Max\uff09\u8fd0\u884c\u901f\u5ea6\u66f4\u5feb\uff0c\u4f46\u662f\u7531\u4e8e\u7f3a\u4e4f\u8de8\u56fe\u7684\u4ea4\u4e92\u4f5c\u7528\uff0c\u56e0\u6b64\u6027\u80fd\u901a\u5e38\u5f88\u5dee\u3002\u5339\u914d\u6a21\u578b\uff08\u4f8b\u5982GMN\uff09\u7684\u7f16\u7801\u8fc7\u7a0b\u6d89\u53ca\u4e24\u4e2a\u56fe\u4e4b\u95f4\u7684\u4ea4\u4e92\uff0c\u8fd9\u79cd\u6a21\u578b\u66f4\u51c6\u786e\uff0c\u4f46\u6574\u4e2a\u56fe\u4e4b\u95f4\u7684\u4ea4\u4e92\u4f1a\u663e\u8457\u589e\u52a0\u65f6\u95f4\u6d88\u8017\uff08\u81f3\u5c11\u5728\u8282\u70b9\u6570\u4e0a\u4e3a\u4e8c\u6b21\u65f6\u95f4\u590d\u6742\u5ea6\uff09\u3002\u53d7\u5230\u5927\u578b\u751f\u7269\u5206\u5b50\u9274\u5b9a\u7684\u542f\u53d1\uff0c\u9996\u5148\u5c06\u6574\u4e2a\u5206\u5b50\u6620\u5c04\u5230\u5b98\u80fd\u56e2\uff0c\u7136\u540e\u6839\u636e\u8fd9\u4e9b\u5b98\u80fd\u56e2\u8fdb\u884c\u9274\u5b9a\uff0c\u6211\u4eec\u7684\u5d4c\u5165-\u7c97\u5316-\u5339\u914d\u2019\u2019\u5b66\u4e60\u6846\u67b6\u9996\u5148\u5c06\u5927\u56fe\u5d4c\u5165\u548c\u7c97\u5316\u4e3a\u5177\u6709\u5bc6\u96c6\u5c40\u90e8\u62d3\u6251\u7684\u7c97\u5316\u56fe\u7136\u540e\u5c06\u5339\u914d\u673a\u5236\u90e8\u7f72\u5230\u7c97\u5316\u56fe\u4e0a\u4ee5\u83b7\u5f97\u6700\u7ec8\u76f8\u4f3c\u5ea6\u5f97\u5206\u3002\u5df2\u7ecf\u8fdb\u884c\u4e86\u8be6\u7ec6\u7684\u5b9e\u9a8c\uff0c\u7ed3\u679c\u8bc1\u660e\u4e86\u6211\u4eec\u63d0\u51fa\u7684\u6846\u67b6\u7684\u6548\u7387\u548c\u6709\u6548\u6027\u3002<\/span><\/section>\n


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    \n
    <\/p>\n

    \u5e7f\u4e49\u7ec4\u5408\u7f51\u7edc\u7684\u6807\u91cf\u89e3\u548c\u5411\u91cf\u89e3\u4e4b\u95f4\u7684\u5dee\u8ddd<\/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
    On the Gap between Scalar and Vector Solutions of Generalized Combination Networks<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.04870<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Hedongliang Liu, Hengjia Wei, Sven Puchinger, Antonia Wachter-Zeh, Moshe Schwartz<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u7814\u7a76\u5e7f\u4e49\u7ec4\u5408\u7f51\u7edc\u7684\u6807\u91cf\u7ebf\u6027\u548c\u5411\u91cf\u7ebf\u6027\u89e3\u3002\u6211\u4eec\u6839\u636e\u7f51\u7edc\u53c2\u6570\u548c\u5b57\u6bcd\u5927\u5c0f\u5728\u4e2d\u95f4\u5c42\u7684\u6700\u5927\u8282\u70b9\u6570\u4e0a\u5f97\u51fa\u65b0\u7684\u4e0a\u9650\u548c\u4e0b\u9650\u3002\u8fd9\u4e9b\u754c\u9650\u6539\u5584\u5e76\u6269\u5c55\u4e86\u5df2\u77e5\u754c\u9650\u7684\u53c2\u6570\u8303\u56f4\u3002\u4f7f\u7528\u8fd9\u4e9b\u65b0\u754c\u9650\uff0c\u6211\u4eec\u5728\u6700\u4f73\u6807\u91cf\u7ebf\u6027\u548c\u6700\u4f73\u77e2\u91cf\u7ebf\u6027\u7f51\u7edc\u7f16\u7801\u89e3\u51b3\u65b9\u6848\u4e4b\u95f4\u7684\u5b57\u6bcd\u5927\u5c0f\u7684\u95f4\u9699\u4e2d\u7ed9\u51fa\u4e86\u4e00\u4e2a\u4e0b\u9650\u548c\u4e00\u4e2a\u4e0a\u9650\u3002\u5bf9\u4e8e\u56fa\u5b9a\u7684\u7f51\u7edc\u7ed3\u6784\uff0c\u5728\u66f4\u6539\u4e2d\u95f4\u5c42\u8282\u70b9 r \u7684\u6570\u91cf\u7684\u540c\u65f6\uff0c\u4e0a\u4e0b\u754c\u7684\u6e10\u8fd1\u884c\u4e3a\u8868\u660e\u95f4\u9699\u4f4d\u4e8e  Theta\uff08 log\uff08r\uff09\uff09\u4e2d\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7f51\u7edc\u4e0a\u7684node2vec\u968f\u673a\u6e38\u8d70\u5206\u6790<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Analysis of node2vec random walks on networks<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.04904<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Lingqi Meng, Naoki Masuda<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u4e8b\u5b9e\u8bc1\u660e\uff0c\u968f\u673a\u6e38\u8d70\u5bf9\u4e8e\u6784\u5efa\u5404\u79cd\u7b97\u6cd5\u4ee5\u83b7\u53d6\u7f51\u7edc\u4fe1\u606f\u5f88\u6709\u7528\u3002\u7b97\u6cd5node2vec\u4f7f\u7528\u6709\u504f\u7684\u968f\u673a\u6e38\u8d70\u5c06\u8282\u70b9\u5d4c\u5165\u5230\u4f4e\u7ef4\u7a7a\u95f4\u4e2d\uff0c\u7136\u540e\u53ef\u4ee5\u5c06\u5176\u7528\u4e8e\u591a\u6807\u7b7e\u5206\u7c7b\u548c\u94fe\u8def\u9884\u6d4b\u7b49\u4efb\u52a1\u3002\u5728\u8fd9\u4e9b\u5e94\u7528\u7a0b\u5e8f\u4e2d\uff0cnode2vec\u7684\u6709\u7528\u6027\u88ab\u8ba4\u4e3a\u53d6\u51b3\u4e8enode2vec\u7b97\u6cd5\u4f7f\u7528\u7684\u968f\u673a\u6e38\u8d70\u7684\u5c5e\u6027\u3002\u5728\u672c\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u5728\u7406\u8bba\u548c\u6570\u503c\u4e0a\u5206\u6790\u4e86node2vec\u4f7f\u7528\u7684\u968f\u673a\u6e38\u52a8\u3002node2vec\u968f\u673a\u6e38\u8d70\u662f\u4e8c\u9636\u9a6c\u5c14\u53ef\u592b\u94fe\u3002\u6211\u4eec\u5229\u7528\u5176\u8f6c\u79fb\u89c4\u5219\u5230\u6709\u5411\u8fb9\u4e4b\u95f4\u7684\u8f6c\u79fb\u6982\u7387\u77e9\u9635\u7684\u6620\u5c04\u6765\u5206\u6790\u5e73\u7a33\u6982\u7387\uff0c\u5f1b\u8c6b\u65f6\u95f4\u548c\u5408\u5e76\u65f6\u95f4\u3002\u7279\u522b\u662f\uff0c\u6211\u4eec\u63d0\u4f9b\u4e86\u5927\u91cf\u8bc1\u636e\uff0c\u8bc1\u660e\u5f53\u8c03\u6574\u5176\u53c2\u6570\u65f6\uff0cnode2vec\u968f\u673a\u6e38\u8d70\u4f1a\u52a0\u5feb\u6269\u6563\uff0c\u4ece\u800c\u4f7f\u6b65\u884c\u8005\u907f\u514d\u56de\u6eaf\u548c\u8bbf\u95ee\u5148\u524d\u8bbf\u95ee\u7684\u8282\u70b9\u7684\u90bb\u5c45\uff0c\u4f46\u53c8\u4e0d\u8fc7\u5206\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    Persona2vec\uff1a<\/strong><\/span><\/p>\n

    \u56fe\u7684\u7075\u6d3b\u591a\u89d2\u8272\u8868\u793a\u5b66\u4e60\u6846\u67b6<\/strong><\/span><\/strong><\/p>\n

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


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.04941<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Jisung Yoon, Kai-Cheng Yang, Woo-Sung Jung, Yong-Yeol Ahn<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5b66\u4e60\u56fe\u7684\u4f4e\u7ef4\u8868\u793a\u7684\u56fe\u5d4c\u5165\u6280\u672f\u6b63\u5728\u8bb8\u591a\u56fe\u6316\u6398\u4efb\u52a1\u4e2d\u5b9e\u73b0\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002\u5927\u591a\u6570\u73b0\u6709\u7684\u5d4c\u5165\u7b97\u6cd5\u90fd\u4f1a\u4e3a\u6bcf\u4e2a\u8282\u70b9\u5206\u914d\u4e00\u4e2a\u5411\u91cf\uff0c\u9690\u5f0f\u5730\u5047\u8bbe\u5355\u4e2a\u8868\u793a\u8db3\u4ee5\u6355\u83b7\u8be5\u8282\u70b9\u7684\u6240\u6709\u7279\u5f81\u3002\u4f46\u662f\uff0c\u5728\u8bb8\u591a\u57df\u4e2d\uff0c\u901a\u5e38\u4f1a\u89c2\u5bdf\u5230\u666e\u904d\u91cd\u53e0\u7684\u793e\u533a\u7ed3\u6784\uff0c\u5176\u4e2d\u5927\u591a\u6570\u8282\u70b9\u5c5e\u4e8e\u591a\u4e2a\u793e\u533a\uff0c\u5e76\u6839\u636e\u4e0a\u4e0b\u6587\u626e\u6f14\u4e0d\u540c\u7684\u89d2\u8272\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u63d0\u51fa\u4e86persona2vec\uff0c\u8fd9\u662f\u4e00\u79cd\u56fe\u5d4c\u5165\u6846\u67b6\uff0c\u53ef\u4ee5\u6839\u636e\u8282\u70b9\u7684\u7ed3\u6784\u4e0a\u4e0b\u6587\u6709\u6548\u5730\u5b66\u4e60\u8282\u70b9\u7684\u591a\u79cd\u8868\u793a\u5f62\u5f0f\u3002\u4f7f\u7528\u57fa\u4e8e\u94fe\u8def\u9884\u6d4b\u7684\u8bc4\u4f30\uff0c\u6211\u4eec\u8868\u660e\u6211\u4eec\u7684\u6846\u67b6\u6bd4\u73b0\u6709\u7684\u6700\u65b0\u6a21\u578b\u5feb\u5f97\u591a\uff0c\u540c\u65f6\u5b9e\u73b0\u4e86\u66f4\u597d\u7684\u6027\u80fd\u3002\u5b66\u4e60\u56fe\u7684\u4f4e\u7ef4\u8868\u793a\u7684\u56fe\u5d4c\u5165\u6280\u672f\u6b63\u5728\u8bb8\u591a\u56fe\u6316\u6398\u4efb\u52a1\u4e2d\u5b9e\u73b0\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002\u5927\u591a\u6570\u73b0\u6709\u7684\u5d4c\u5165\u7b97\u6cd5\u90fd\u4f1a\u4e3a\u6bcf\u4e2a\u8282\u70b9\u5206\u914d\u4e00\u4e2a\u5411\u91cf\uff0c\u9690\u5f0f\u5730\u5047\u8bbe\u5355\u4e2a\u8868\u793a\u8db3\u4ee5\u6355\u83b7\u8be5\u8282\u70b9\u7684\u6240\u6709\u7279\u5f81\u3002\u4f46\u662f\uff0c\u5728\u8bb8\u591a\u57df\u4e2d\uff0c\u901a\u5e38\u4f1a\u89c2\u5bdf\u5230\u666e\u904d\u91cd\u53e0\u7684\u793e\u533a\u7ed3\u6784\uff0c\u5176\u4e2d\u5927\u591a\u6570\u8282\u70b9\u5c5e\u4e8e\u591a\u4e2a\u793e\u533a\uff0c\u5e76\u6839\u636e\u4e0a\u4e0b\u6587\u626e\u6f14\u4e0d\u540c\u7684\u89d2\u8272\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u63d0\u51fa\u4e86persona2vec\uff0c\u8fd9\u662f\u4e00\u79cd\u56fe\u5d4c\u5165\u6846\u67b6\uff0c\u53ef\u4ee5\u6839\u636e\u8282\u70b9\u7684\u7ed3\u6784\u4e0a\u4e0b\u6587\u6709\u6548\u5730\u5b66\u4e60\u8282\u70b9\u7684\u591a\u79cd\u8868\u793a\u5f62\u5f0f\u3002\u4f7f\u7528\u57fa\u4e8e\u94fe\u8def\u9884\u6d4b\u7684\u8bc4\u4f30\uff0c\u6211\u4eec\u8868\u660e\u6211\u4eec\u7684\u6846\u67b6\u6bd4\u73b0\u6709\u7684\u6700\u65b0\u6a21\u578b\u5feb\u5f97\u591a\uff0c\u540c\u65f6\u5b9e\u73b0\u4e86\u66f4\u597d\u7684\u6027\u80fd\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    Pyvis\u548cVisJS\u7684\u7f51\u7edc\u53ef\u89c6\u5316<\/strong><\/span><\/strong><\/p>\n

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


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Network visualizations with Pyvis and VisJS<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.04951<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Giancarlo Perrone, Jose Unpingco, Haw-minn Lu<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>Pyvis\u662f\u4e00\u4e2aPython\u6a21\u5757\uff0c\u53ef\u5728Jupyter\u7b14\u8bb0\u672c\u4e2d\u6216\u4f5c\u4e3a\u72ec\u7acb\u7684Web\u5e94\u7528\u7a0b\u5e8f\u53ef\u89c6\u5316\u548c\u4ea4\u4e92\u64cd\u4f5c\u7f51\u7edc\u56fe\u3002Pyvis\u5efa\u7acb\u5728\u529f\u80fd\u5f3a\u5927\u4e14\u6210\u719f\u7684VisJS JavaScript\u5e93\u7684\u57fa\u7840\u4e0a\uff0c\u8be5\u5e93\u53ef\u5b9e\u73b0\u5feb\u901f\u54cd\u5e94\u7684\u4ea4\u4e92\uff0c\u540c\u65f6\u8fd8\u63d0\u53d6\u4e86\u5e95\u5c42JavaScript\u548cHTML\u3002\u8fd9\u610f\u5473\u7740\u53ef\u4ee5\u5728Python\u4e2d\u6307\u5b9a\u5448\u73b0\u7684\u56fe\u53ef\u89c6\u5316\u7684\u5143\u7d20\uff08\u4f8b\u5982\u8282\u70b9\/\u8fb9\u5c5e\u6027\uff09\uff0c\u5e76\u5c06\u5176\u8fd0\u9001\u5230JavaScript\u5c42\u4ee5\u4f9bVisJS\u5448\u73b0\u3002\u8fd9\u79cd\u58f0\u660e\u6027\u65b9\u6cd5\u4f7f\u5feb\u901f\u6d4f\u89c8\u56fe\u53ef\u89c6\u5316\u548c\u8c03\u67e5\u6570\u636e\u5173\u7cfb\u53d8\u5f97\u5bb9\u6613\u3002\u6b64\u5916\uff0cPyvis\u5177\u6709\u9ad8\u5ea6\u53ef\u5b9a\u5236\u6027\uff0c\u56e0\u6b64\u53ef\u4ee5\u5c06\u989c\u8272\uff0c\u5927\u5c0f\u548c\u60ac\u505c\u5de5\u5177\u63d0\u793a\u5206\u914d\u7ed9\u6e32\u67d3\u7684\u56fe\u3002\u7f51\u7edc\u56fe\u7684\u5e03\u5c40\u7531\u524d\u7aef\u7269\u7406\u5f15\u64ce\u63a7\u5236\uff0c\u8be5\u5f15\u64ce\u53ef\u4ecePython\u754c\u9762\u914d\u7f6e\uff0c\u4ece\u800c\u53ef\u4ee5\u8be6\u7ec6\u653e\u7f6e\u56fe\u5143\u7d20\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u7528\u7279\u5b9a\u7684\u793a\u4f8b\u6982\u8ff0\u4e86Pyvis\u7684\u7528\u4f8b\uff0c\u4ee5\u7a81\u51fa\u663e\u793a\u4efb\u4f55\u5206\u6790\u5de5\u4f5c\u6d41\u7a0b\u7684\u5173\u952e\u529f\u80fd\u3002Pyvis\u5b9e\u73b0\u7684\u7b80\u8981\u6982\u8ff0\u63cf\u8ff0\u4e86Python\u524d\u7aef\u7ed1\u5b9a\u5982\u4f55\u4f7f\u7528\u7b80\u5355\u7684Pyvis\u8c03\u7528<\/span>\u3002<\/span><\/section>\n


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

    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    Facebook\u4e0a\u7f8e\u56fd\u5927\u5b66\u7f51\u7edc\u7684\u7ed3\u6784<\/strong><\/span><\/strong><\/p>\n

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


    <\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    The Structure of U.S. College Networks on Facebook<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    h<\/span>ttp:\/\/arxiv.org\/abs\/2006.04980<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Jan Overgoor, Bogdan State, Lada Adamic<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6709\u8da3\u7684\u662f\uff0c\u5728\u5927\u5b66\u4e2d\u5efa\u7acb\u7684\u793e\u4f1a\u8054\u7cfb\u5177\u6709\u7ec8\u751f\u5f71\u54cd\u3002\u7136\u800c\uff0c\u5728\u5927\u5b66\u4e2d\u5f62\u6210\u7684\u793e\u4f1a\u7f51\u7edc\u77e5\u8bc6\u4ecd\u7136\u662f\u5076\u7136\u7684\uff0c\u8fd9\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u662f\u7531\u4e8e\u6536\u96c6\u5408\u9002\u7684\u6570\u636e\u96c6\u8fdb\u884c\u5168\u9762\u5206\u6790\u6240\u6d89\u53ca\u7684\u56f0\u96be\u548c\u8d39\u7528\u3002\u4e3a\u4e86\u63d0\u9ad8\u5bf9\u5927\u5b66\u793e\u4f1a\u7f51\u7edc\u7684\u4e86\u89e3\u5e76\u5c06\u5176\u7cfb\u7edf\u5316\uff0c\u6211\u4eec\u63cf\u8ff0\u4e86\u7f8e\u56fd\u5927\u5b66\u751f\u4f7f\u7528\u7684\u6700\u5927\u7684\u5728\u7ebf\u793e\u4f1a\u7f51\u7edc\u5e73\u53f0\u7684\u6570\u636e\u96c6\u3002\u6211\u4eec\u5c06\u5df2\u53d6\u6d88\u8bc6\u522b\u548c\u6c47\u603b\u7684Facebook\u6570\u636e\u4e0e\u7f8e\u56fd\u5927\u5b66\u6559\u80b2\u90e8\u63d0\u4f9b\u7684\u5927\u5b66\u8bb0\u5206\u5361\u6570\u636e\uff0c\u5927\u5b66\u8bb0\u5206\u5361\u6570\u636e\u76f8\u7ed3\u5408\uff0c\u4ee5\u751f\u6210\u6db5\u76d61760\u4e2a\u7f8e\u56fd\u5927\u5b66\u548c\u5927\u5b66\u76842008-2015\u5165\u5b66\u5e74\u961f\u5217\u7684\u6570\u636e\u96c6\uff0c\u6db5\u76d6760\u4e07\u5b66\u751f\u3002\u4e3a\u4e86\u5b8c\u6210\u6bd4\u8f83\u8fd9\u4e9b\u4e0d\u540c\u89c4\u6a21\u7684\u7f51\u7edc\u7684\u8270\u5de8\u4efb\u52a1\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u79cd\u65b0\u7684\u65b9\u6cd5\u3002\u6211\u4eec\u901a\u8fc7\u91c7\u6837\u7684\u81ea\u6211\u56fe\u8ba1\u7b97\u7279\u5f81\uff0c\u4e3a\u6bcf\u5bf9\u56fe\u8bad\u7ec3\u4e8c\u8fdb\u5236\u5206\u7c7b\u5668\uff0c\u5e76\u5c06\u56fe\u4e4b\u95f4\u7684\u8ddd\u79bb\u4f5c\u4e3a\u9884\u6d4b\u7cbe\u5ea6\u8fdb\u884c\u8fd0\u7b97\u3002\u540c\u4e00\u6240\u5b66\u6821\u4e0d\u540c\u5e74\u4efd\u7684\u793e\u4f1a\u7f51\u7edc\u5728\u7ed3\u6784\u4e0a\u6bd4\u5176\u4ed6\u5b66\u6821\u7684\u793e\u4f1a\u7f51\u7edc\u5f7c\u6b64\u66f4\u76f8\u4f3c\u3002\u6765\u81ea\u7c7b\u4f3c\u5b66\u6821\u7684\u7f51\u7edc\u5177\u6709\u7c7b\u4f3c\u7684\u7ed3\u6784\uff0c\u5176\u4e2d\u6700\u660e\u663e\u7684\u662f\u516c\u7acb\/\u79c1\u7acb\u548c\u6bd5\u4e1a\u7387\u7ef4\u5ea6\u3002\u6211\u4eec\u8fd8\u5c06\u5b66\u6821\u7c7b\u578b\u4e0e\u7279\u5b9a\u7ed3\u679c\u8054\u7cfb\u8d77\u6765\u3002\u4f8b\u5982\uff0c\u79c1\u7acb\u5b66\u6821\u7684\u5b66\u751f\u62e5\u6709\u66f4\u5927\u7684\u7f51\u7edc\uff0c\u8fd9\u4e9b\u7f51\u7edc\u66f4\u52a0\u96c6\u7fa4\u5316\uff0c\u540c\u5e74\u540c\u8d28\u6027\u66f4\u9ad8\u3002\u6211\u4eec\u7684\u53d1\u73b0\u53ef\u80fd\u6709\u52a9\u4e8e\u9610\u660e\u5927\u5b66\u5728\u5851\u9020\u793e\u4f1a\u7f51\u7edc\u4e2d\u6240\u626e\u6f14\u7684\u89d2\u8272\uff0c\u8fd9\u4e9b\u793e\u4f1a\u7f51\u7edc\u5728\u4eba\u4eec\u7684\u4e00\u751f\u4e2d\u4e00\u76f4\u5b58\u5728\u3002<\/span><\/section>\n


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

    \n
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    <\/p>\n

    \u5168\u95f4\u969412\u97f3\u884c\u7684\u65c5\u884c\u8005\u6307\u5357<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    The Hitchhiker\u2019s Guide to the All-Interval 12-Tone Rows<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05007<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Marco Buongiorno Nardelli<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u56de\u987e\u4e86\u6240\u6709\u95f4\u9694\u768412\u97f3\u7cfb\u5217\uff08AIS\uff09\u7684\u751f\u6210\uff0c\u5206\u7c7b\u548c\u5206\u7c7b\u3002\u53d71974\u5e74Morris\u548cStarr\u7684\u5f00\u521b\u6027\u5de5\u4f5c\uff08Morris\u548cStarr\uff0c1974\u5e74\u5168\u95f4\u9694\u7ed3\u6784\u7684\u7ed3\u6784\uff09\u7684\u542f\u53d1\uff0c\u5b83\u4f7f\u7528\u590d\u6742\u7684\u7f51\u7edc\u7406\u8bba\u6269\u5c55\u4e86\u4ed6\u4eec\u7684\u5206\u6790\uff0c\u5e76\u4e3a\u4f5c\u66f2\u5bb6\u548c\u7406\u8bba\u5bb6\u63d0\u4f9b\u4e86\u5c06\u6240\u6709AIS\u94fe\u63a5\u5728\u4e00\u8d77\u7684\u91cd\u65b0\u6392\u5e8f\u65b9\u6848\u3002\u901a\u8fc7\u5173\u7cfb\u94fe\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    \u975e\u7ebf\u6027\u6e38\u8d70\u548c\u62e5\u585e\u7f51\u7edc\u7684\u6709\u6548\u63a2\u7d22<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Nonlinear walkers and efficient exploration of congested networks<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05146<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Timoteo Carletti, Malbor Asllani, Duccio Fanelli, Vito Latora<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u968f\u673a\u6e38\u8d70\u662f\u63a2\u7d22\u6216\u641c\u7d22\u56fe\u7684\u6700\u7b80\u5355\u65b9\u6cd5\uff0c\u5e76\u4e14\u63ed\u793a\u4e86\u4e00\u79cd\u975e\u5e38\u6709\u7528\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u7814\u7a76\u548c\u8868\u5f81\u73b0\u5b9e\u4e16\u754c\u4e2d\u590d\u6742\u7f51\u7edc\u7684\u7ed3\u6784\u7279\u6027\uff0c\u4f8b\u5982\u5b83\u4eec\u5df2\u7528\u4e8e\u8bc6\u522b\u7ed9\u5b9a\u7f51\u7edc\u7684\u6a21\u5757\uff0c\u5176\u6700\u4e2d\u5fc3\u7684\u8282\u70b9\u548c\u8def\u5f84\uff0c\u6216\u786e\u5b9a\u8fbe\u5230\u76ee\u6807\u7684\u5178\u578b\u65f6\u95f4\u3002\u5c3d\u7ba1\u5df2\u7ecf\u63d0\u51fa\u4e86\u5404\u79cd\u7c7b\u578b\u7684\u968f\u673a\u884c\u8d70\uff0c\u5176\u8fd0\u52a8\u662f\u8282\u70b9\u504f\u5411\u7684\uff0c\u4f46\u4ecd\u7136\u9002\u7528\u4e8e\u89e3\u6790\u89e3\uff0c\u4f46\u5927\u591a\u6570\uff08\u5982\u679c\u4e0d\u662f\u5168\u90e8\uff09\u4f9d\u8d56\u4e8e\u884c\u8d70\u8005\u7684\u7ebf\u6027\u548c\u72ec\u7acb\u6027\u7684\u5047\u8bbe\u3002\u6211\u4eec\u4ecb\u7ecd\u4e86\u4e00\u7c7b\u65b0\u7684\u975e\u7ebf\u6027\u968f\u673a\u8fc7\u7a0b\uff0c\u8be5\u8fc7\u7a0b\u63cf\u8ff0\u4e86\u5728\u5177\u6709\u6709\u9650\u8282\u70b9\u5bb9\u91cf\u7684\u7f51\u7edc\u4e0a\u79fb\u52a8\u7684\u968f\u673a\u6e38\u8d70\u8005\u4e4b\u95f4\u76f8\u4e92\u4f5c\u7528\u7684\u7cfb\u7edf\u3002\u8f6c\u79fb\u6982\u7387\u7531\u76ee\u6807\u8282\u70b9\u4e0a\u53ef\u7528\u7a7a\u95f4\u7684\u975e\u7ebf\u6027\u51fd\u6570\u8c03\u5236\uff0c\u5e76\u5e26\u6709\u4e00\u4e2a\u504f\u5dee\u53c2\u6570\uff0c\u8be5\u504f\u5dee\u53c2\u6570\u5141\u8bb8\u8c03\u6574\u52a9\u6b65\u5668\u7684\u8d8b\u52bf\u4ee5\u907f\u514d\u5176\u4ed6\u52a9\u6b65\u5668\u5360\u7528\u7684\u8282\u70b9\u3002\u9996\u5148\uff0c\u6211\u4eec\u63a8\u5bfc\u4e86\u63a7\u5236\u7cfb\u7edf\u52a8\u529b\u5b66\u7684\u4e3b\u65b9\u7a0b\uff0c\u5e76\u786e\u5b9a\u4e86\u5728\u6700\u4e00\u822c\u60c5\u51b5\u4e0b\u4ee5\u53ca\u7f51\u7edc\u62e5\u6324\u7a0b\u5ea6\u4e0d\u540c\u7684\u60c5\u51b5\u4e0b\uff0c\u6b65\u884c\u8005\u5904\u4e8e\u5e73\u8861\u72b6\u6001\u7684\u5360\u7528\u6982\u7387\u7684\u89e3\u6790\u8868\u8fbe\u5f0f\u3002\u7136\u540e\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u4e0d\u540c\u7c7b\u578b\u7684\u5408\u6210\u7f51\u7edc\u548c\u771f\u5b9e\u4e16\u754c\u7684\u7f51\u7edc\uff0c\u5e76\u7ed9\u51fa\u4e86\u71b5\u7387\u7684\u6570\u503c\u548c\u5206\u6790\u7ed3\u679c\uff0c\u5e76\u4ee5\u6b64\u4f5c\u4e3a\u6b65\u884c\u8005\u7f51\u7edc\u63a2\u7d22\u80fd\u529b\u7684\u4e3b\u4f53\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5bf9\u4e8e\u6bcf\u4e2a\u975e\u7ebf\u6027\u504f\u5dee\u6c34\u5e73\uff0c\u90fd\u6709\u4e00\u4e2a\u5728\u7ed9\u5b9a\u7f51\u7edc\u62d3\u6251\u4e2d\u6700\u5927\u5316\u71b5\u7387\u7684\u6700\u4f73\u62e5\u6324\u3002\u5206\u6790\u8868\u660e\uff0c\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u5927\u90e8\u5206\u7f51\u7edc\u90fd\u662f\u4ee5\u62e5\u6324\u6761\u4ef6\u4e0b\u7684\u52d8\u63a2\u4e3a\u5bfc\u5411\u7684\u3002\u6211\u4eec\u7684\u5de5\u4f5c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u901a\u7528\u4e14\u901a\u7528\u7684\u6846\u67b6\u6765\u5efa\u6a21\u975e\u7ebf\u6027\u968f\u673a\u8fc7\u7a0b\uff0c\u5176\u8fc7\u6e21\u6982\u7387\u968f\u7cfb\u7edf\u5f53\u524d\u72b6\u6001\u7684\u53d8\u5316\u800c\u53d8\u5316\u3002<\/span><\/section>\n


    <\/span><\/h3>\n
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    DyHGCN\uff1a<\/strong><\/span><\/p>\n

    \u52a8\u6001\u5f02\u6784\u56fe\u5377\u79ef\u7f51\u7edc\uff0c<\/strong><\/span><\/p>\n

    \u7528\u4e8e\u5b66\u4e60\u7528\u6237\u7684\u4fe1\u606f\u6269\u6563\u9884\u6d4b\u52a8\u6001\u504f\u597d<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users\u2019 Dynamic Preferences for Information Diffusion Prediction<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05169<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Chunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u4fe1\u606f\u6269\u6563\u9884\u6d4b\u662f\u4e86\u89e3\u4fe1\u606f\u4f20\u64ad\u8fc7\u7a0b\u7684\u57fa\u672c\u4efb\u52a1\u3002\u5b83\u5728\u9519\u8bef\u4fe1\u606f\u4f20\u64ad\u9884\u6d4b\u548c\u6076\u610f\u5e10\u6237\u68c0\u6d4b\u7b49\u65b9\u9762\u5177\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u5148\u524d\u7684\u5de5\u4f5c\u8981\u4e48\u96c6\u4e2d\u4e8e\u5229\u7528\u5355\u4e2a\u6269\u6563\u5e8f\u5217\u7684\u4e0a\u4e0b\u6587\uff0c\u8981\u4e48\u5c06\u7528\u6237\u4e4b\u95f4\u7684\u793e\u4f1a\u7f51\u7edc\u7528\u4e8e\u4fe1\u606f\u6269\u6563\u9884\u6d4b\u3002\u4f46\u662f\uff0c\u4e0d\u540c\u6d88\u606f\u7684\u6269\u6563\u8def\u5f84\u81ea\u7136\u4f1a\u6784\u6210\u4e00\u4e2a\u52a8\u6001\u6269\u6563\u56fe\u3002\u4e00\u65b9\u9762\uff0c\u4ee5\u524d\u7684\u5de5\u4f5c\u65e0\u6cd5\u540c\u65f6\u5229\u7528\u793e\u4f1a\u7f51\u7edc\u548c\u6269\u6563\u56fe\u8fdb\u884c\u9884\u6d4b\uff0c\u8fd9\u4e0d\u8db3\u4ee5\u5bf9\u6269\u6563\u8fc7\u7a0b\u7684\u590d\u6742\u6027\u8fdb\u884c\u5efa\u6a21\uff0c\u4ece\u800c\u5bfc\u81f4\u9884\u6d4b\u6027\u80fd\u4e0d\u5c3d\u4eba\u610f\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u4ed6\u4eec\u65e0\u6cd5\u5b66\u4e60\u7528\u6237\u7684\u52a8\u6001\u504f\u597d\u3002\u76f4\u89c2\u5730\uff0c\u968f\u7740\u65f6\u95f4\u7684\u6d41\u901d\uff0c\u7528\u6237\u7684\u504f\u597d\u4f1a\u53d1\u751f\u53d8\u5316\uff0c\u800c\u7528\u6237\u7684\u4e2a\u4eba\u504f\u597d\u51b3\u5b9a\u4e86\u7528\u6237\u662f\u5426\u4f1a\u91cd\u65b0\u53d1\u5e03\u4fe1\u606f\u3002\u56e0\u6b64\uff0c\u5728\u4fe1\u606f\u6269\u6563\u9884\u6d4b\u4e2d\u8003\u8651\u7528\u6237\u7684\u52a8\u6001\u504f\u597d\u662f\u6709\u76ca\u7684\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u9896\u7684\u52a8\u6001\u5f02\u6784\u56fe\u5377\u79ef\u7f51\u7edc\uff08DyHGCN\uff09\uff0c\u4ee5\u5171\u540c\u5b66\u4e60\u793e\u4ea4\u56fe\u548c\u52a8\u6001\u6269\u6563\u56fe\u7684\u7ed3\u6784\u7279\u5f81\u3002\u7136\u540e\uff0c\u6211\u4eec\u5c06\u65f6\u95f4\u4fe1\u606f\u7f16\u7801\u5230\u5f02\u6784\u56fe\u4e2d\uff0c\u4ee5\u5b66\u4e60\u7528\u6237\u7684\u52a8\u6001\u504f\u597d\u3002\u6700\u540e\uff0c\u6211\u4eec\u8fd0\u7528\u591a\u5934\u6ce8\u610f\u529b\u6765\u6355\u83b7\u5f53\u524d\u6269\u6563\u8def\u5f84\u7684\u4e0a\u4e0b\u6587\u76f8\u5173\u6027\uff0c\u4ee5\u4fc3\u8fdb\u4fe1\u606f\u6269\u6563\u9884\u6d4b\u4efb\u52a1\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cDyHGCN\u5728\u4e09\u4e2a\u516c\u5171\u6570\u636e\u96c6\u4e0a\u7684\u6027\u80fd\u660e\u663e\u4f18\u4e8e\u6700\u65b0\u6a21\u578b\uff0c\u4ece\u800c\u8bc1\u660e\u4e86\u8be5\u6a21\u578b\u7684\u6709\u6548\u6027\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u901a\u8fc7\u5bf9\u6bd4\u5b50\u56fe\u53ef\u89e3\u91ca\u7684\u8111\u7f51\u7edc\u5206\u7c7b<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Explainable Classification of Brain Networks via Contrast Subgraphs<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05176<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Tommaso Lanciano, Francesco Bonchi, Aristides Gionis<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6316\u6398\u4eba\u8111\u7f51\u7edc\u4ee5\u53d1\u73b0\u53ef\u7528\u4e8e\u533a\u5206\u5065\u5eb7\u4e2a\u4f53\u548c\u53d7\u67d0\u4e9b\u795e\u7ecf\u7cfb\u7edf\u75be\u75c5\u5f71\u54cd\u7684\u60a3\u8005\u7684\u6a21\u5f0f\uff0c\u662f\u795e\u7ecf\u79d1\u5b66\u7684\u4e00\u9879\u57fa\u672c\u4efb\u52a1\u3002\u5b66\u4e60\u7b80\u5355\u4e14\u53ef\u89e3\u91ca\u7684\u6a21\u578b\u4e0e\u5355\u7eaf\u7684\u5206\u7c7b\u51c6\u786e\u6027\u4e00\u6837\u91cd\u8981\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u4e00\u79cd\u57fa\u4e8e\u63d0\u53d6\u5bf9\u6bd4\u5b50\u56fe\uff08\u5373\u4e00\u7ec4\u9876\u70b9\u7684\u96c6\u5408\uff09\u7684\u65b0\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u7528\u4e8e\u5bf9\u8111\u7f51\u7edc\u8fdb\u884c\u5206\u7c7b\u3002\u6211\u4eec\u6b63\u5f0f\u5b9a\u4e49\u95ee\u9898\u5e76\u63d0\u51fa\u7528\u4e8e\u63d0\u53d6\u5bf9\u6bd4\u5b50\u56fe\u7684\u7b97\u6cd5\u89e3\u51b3\u65b9\u6848\u3002\u7136\u540e\uff0c\u6211\u4eec\u5c06\u6211\u4eec\u7684\u65b9\u6cd5\u5e94\u7528\u4e8e\u7531\u81ea\u95ed\u75c7\u8c31\u7cfb\u969c\u788d\u60a3\u513f\u548c\u5178\u578b\u53d1\u80b2\u513f\u7ae5\u6240\u7ec4\u6210\u7684\u5927\u8111\u7f51\u7edc\u6570\u636e\u96c6\u3002\u6211\u4eec\u7684\u5206\u6790\u8bc1\u5b9e\u4e86\u6240\u53d1\u73b0\u6a21\u5f0f\u7684\u6709\u8da3\u4e4b\u5904\uff0c\u8fd9\u4e9b\u6a21\u5f0f\u4e0e\u795e\u7ecf\u79d1\u5b66\u6587\u732e\u4e2d\u7684\u80cc\u666f\u77e5\u8bc6\u76f8\u5339\u914d\u3002\u5bf9\u5176\u4ed6\u5206\u7c7b\u4efb\u52a1\u7684\u8fdb\u4e00\u6b65\u5206\u6790\u8bc1\u5b9e\u4e86\u6211\u4eec\u63d0\u6848\u7684\u7b80\u5355\u6027\uff0c\u7a33\u5065\u6027\u548c\u9ad8\u53ef\u89e3\u91ca\u6027\uff0c\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u6700\u65b0\u65b9\u6cd5\uff0c\u8be5\u63d0\u6848\u8fd8\u5177\u6709\u51fa\u8272\u7684\u5206\u7c7b\u51c6\u786e\u6027\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u91cd\u65b0\u8bc4\u4f30\u97f3\u7d20\u9891\u7387<\/strong><\/span><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Re-evaluating phoneme frequencies<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05206<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Jayden L. Macklin-Cordes, Erich R. Round<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u56e0\u679c\u8fc7\u7a0b\u53ef\u4ee5\u5728\u5b83\u4eec\u5f71\u54cd\u7684\u8bed\u8a00\u53d8\u91cf\u4e2d\u5f15\u8d77\u72ec\u7279\u7684\u5206\u5e03\u3002\u56e0\u6b64\uff0c\u5bf9\u53d8\u91cf\u5206\u5e03\u7684\u53ef\u9760\u4e86\u89e3\u53ef\u4ee5\u6210\u4e3a\u7406\u89e3\u5bfc\u81f4\u5176\u6210\u56e0\u7684\u529b\u7684\u5173\u952e\u3002\u8bed\u8a00\u5b66\u4e2d\u7684\u5206\u5c42\u5206\u5e03\u4e00\u76f4\u662fZipf\u5b9a\u5f8b\uff0c\u8fd9\u662f\u4e00\u79cd\u5e42\u5b9a\u5f8b\u3002\u5728\u56f4\u7ed5\u5e42\u5f8b\u5047\u8bbe\u8fdb\u884c\u79d1\u5b66\u754c\u7684\u4e00\u573a\u6fc0\u70c8\u8fa9\u8bba\u4ee5\u53ca\u8f83\u65e9\u7684\u8bc4\u4f30\u5b83\u4eec\u7684\u65b9\u6cd5\u7684\u4e0d\u53ef\u9760\u6027\u4e4b\u540e\uff0c\u6211\u4eec\u5728\u8fd9\u91cc\u91cd\u65b0\u8bc4\u4f30\u58f0\u79f0\u8868\u5f81\u97f3\u7d20\u9891\u7387\u7684\u5206\u5e03\u3002\u6211\u4eec\u4f7f\u7528\u6700\u5927\u4f3c\u7136\u6846\u67b6\u63a8\u8bba\u5e42\u5f8b\u6cd5\u548c\u4e09\u79cd\u66ff\u4ee3\u5206\u5e03\u5bf9168\u79cd\u6fb3\u5927\u5229\u4e9a\u8bed\u8a00\u7684\u62df\u5408\u3002\u6211\u4eec\u53d1\u73b0\u652f\u6301\u65e9\u671f\u7ed3\u679c\u7684\u8bc1\u636e\uff0c\u4f46\u4e5f\u5bf9\u5b83\u4eec\u8fdb\u884c\u4e86\u9650\u5b9a\u548c\u7ec6\u5316\u3002\u6700\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u97f3\u7d20\u5e93\u5728\u5176\u6700\u9891\u7e41\u7684\u6210\u5458\u4e2d\u4f3c\u4e4e\u5177\u6709\u7c7b\u4f3c\u4e8eZipfian\u7684\u9891\u7387\u7ed3\u6784\uff08\u5c3d\u7ba1\u4e5f\u53ef\u80fd\u662f\u5bf9\u6570\u6b63\u6001\u7ed3\u6784\uff09\uff0c\u4f46\u5728\u6700\u4e0d\u9891\u7e41\u7684\u6210\u5458\u4e2d\u5177\u6709\u51e0\u4f55\uff08\u6216\u6307\u6570\uff09\u7ed3\u6784\u3002\u6211\u4eec\u5f3a\u8c03\u56e0\u679c\u5173\u7cfb\u7684\u542b\u4e49\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u68c0\u6d4b\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u7ed3\u6784\u6270\u52a8<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Detecting structural perturbations from time series with deep learning<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05232<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Edward Laurence, Charles Murphy, Guillaume St-Onge, Xavier Roy-Pomerleau, Vincent Thibeault<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8f83\u5c0f\u7684\u5e72\u6270\u4f1a\u89e6\u53d1\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u529f\u80fd\u6545\u969c\u3002\u4e00\u9879\u5177\u6709\u6311\u6218\u6027\u7684\u4efb\u52a1\u662f\u63a8\u65ad\u7f51\u7edc\u7cfb\u7edf\u4e2d\u5f15\u8d77\u5e72\u6270\u7684\u7ed3\u6784\u539f\u56e0\uff0c\u5e76\u5c3d\u5feb\u9632\u6b62\u53d1\u751f\u707e\u96be\u3002\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u56fe\u795e\u7ecf\u7f51\u7edc\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u501f\u9274\u4e86\u6df1\u5ea6\u5b66\u4e60\u8303\u5f0f\uff0c\u53ef\u4ee5\u4ece\u529f\u80fd\u65f6\u95f4\u5e8f\u5217\u4e2d\u63a8\u65ad\u51fa\u7ed3\u6784\u6270\u52a8\u3002\u6211\u4eec\u5c55\u793a\u4e86\u6211\u4eec\u7684\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\u5728\u6ee1\u8db3\u8d1d\u53f6\u65af\u63a8\u7406\u7684\u51c6\u786e\u6027\u7684\u540c\u65f6\u80dc\u8fc7\u4e86\u5178\u578b\u7684\u91cd\u5efa\u65b9\u6cd5\u3002\u6211\u4eec\u901a\u8fc7\u5404\u79cd\u7f51\u7edc\u7ed3\u6784\u4e0a\u7684\u6d41\u884c\u75c5\u4f20\u64ad\uff0c\u79cd\u7fa4\u52a8\u6001\u548c\u795e\u7ecf\u52a8\u529b\u5b66\u6765\u9a8c\u8bc1\u6211\u4eec\u65b9\u6cd5\u7684\u591a\u529f\u80fd\u6027\u548c\u6027\u80fd\uff1a\u968f\u673a\u7f51\u7edc\uff0c\u65e0\u6807\u5ea6\u7f51\u7edc\uff0c25\u4e2a\u5b9e\u9645\u98df\u7269\u7f51\u7edc\u7cfb\u7edf\u548c\u79c0\u4e3d\u9690\u6746\u7ebf\u866b\u7684\u8fde\u63a5\u7ec4\u3002\u6b64\u5916\uff0c\u6211\u4eec\u62a5\u544a\u8bf4\uff0c\u6211\u4eec\u7684\u65b9\u6cd5\u5bf9\u4e8e\u6570\u636e\u635f\u574f\u662f\u53ef\u9760\u7684\u3002\u8fd9\u9879\u5de5\u4f5c\u63ed\u793a\u4e86\u7814\u7a76\u73b0\u5b9e\u4e16\u754c\u590d\u6742\u7cfb\u7edf\u7684\u5f39\u6027\u7684\u5b9e\u7528\u9014\u5f84\u3002<\/span><\/section>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7535\u5f71\u4e2d\u7684\u955c\u5934\uff1a\u521d\u6b65\u5206\u6790<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Tropes in films: an initial analysis<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05380<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Rub\u00e9n H\u00e9ctor Garc\u00eda-Ortega, Pablo Garc\u00eda S\u00e1nchez, Juan J. Merelo-Guerv\u00f3s<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>TVTropes\u662f\u4e00\u4e2a\u7ef4\u57fa\u767e\u79d1\uff0c\u63cf\u8ff0\u4e86\u6bd4\u55bb\u4ee5\u53ca\u5728\u54ea\u4e9b\u827a\u672f\u4f5c\u54c1\u4e2d\u4f7f\u7528\u4e86\u54ea\u4e9b\u3002\u6211\u4eec\u5bf9\u7535\u5f71\u6700\u611f\u5174\u8da3\uff0c\u56e0\u6b64\u5728\u53d1\u5e03\u4e86TropeScraper Python\u6a21\u5757\uff08\u4ece\u8be5\u7ad9\u70b9\u63d0\u53d6\u6570\u636e\uff09\u540e\uff0c\u5728\u672c\u62a5\u544a\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86\u6293\u53d6\u7684\u4fe1\u606f\u6765\u7edf\u8ba1\u5730\u63cf\u8ff0trops\u548c\u7535\u5f71\u4e4b\u95f4\u7684\u76f8\u4e92\u5173\u7cfb\u4ee5\u53ca\u8fd9\u4e9b\u5173\u7cfb\u5982\u4f55\u968f\u65f6\u95f4\u6f14\u53d8\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u4e8e2020\u5e744\u6708\u901a\u8fc7\u5de5\u5177TropeScraper\u751f\u6210\u4e86\u4e00\u4e2a\u6570\u636e\u96c6\u3002\u6211\u4eec\u5c06\u5176\u4e0eDB Tropes\u7684\u6700\u65b0\u5feb\u7167\u8fdb\u884c\u4e86\u6bd4\u8f83\uff0c\u540e\u8005\u662f\u6db5\u76d6\u540c\u4e00\u7ad9\u70b9\u5e76\u4e8e2016\u5e747\u6708\u53d1\u5e03\u7684\u6570\u636e\u96c6\uff0c\u63d0\u4f9b\u4e86\u63cf\u8ff0\u6027\u5206\u6790\uff0c\u7814\u7a76\u4e86\u57fa\u672c\u5dee\u5f02\u5e76\u6839\u636e\u6bd4\u55bb\u7684\u6570\u91cf\uff0c\u7535\u5f71\u548c\u8054\u7cfb\u7684\u6570\u91cf\u6765\u89e3\u51b3Wiki\u7684\u53d1\u5c55\u3002\u7ed3\u679c\u8868\u660e\uff0c\u89c6\u7ebf\u548c\u80f6\u7247\u7684\u6570\u91cf\u4f7f\u5b83\u4eec\u7684\u503c\u589e\u52a0\u4e86\u4e00\u500d\uff0c\u5e76\u4e14\u5b83\u4eec\u7684\u5173\u7cfb\u589e\u52a0\u4e86\u56db\u500d\uff0c\u5e76\u4e14\u4ece\u603b\u4f53\u4e0a\u6765\u8bf4\uff0c\u7528\u89c6\u7ebf\u53ef\u4ee5\u66f4\u597d\u5730\u63cf\u8ff0\u80f6\u7247\u3002\u7136\u800c\uff0c\u5c3d\u7ba1\u5177\u6709\u6700\u591a\u7684\u65b9\u8a00\u7684\u7535\u5f71\u7c7b\u578b\u591a\u5e74\u6765\u6ca1\u6709\u663e\u8457\u53d8\u5316\uff0c\u4f46\u6700\u53d7\u6b22\u8fce\u7684\u65b9\u8a00\u7684\u5217\u8868\u5374\u53d1\u751f\u4e86\u53d8\u5316\u3002\u8fd9\u4e00\u7ed3\u679c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u4e86\u89e3\u6d41\u884c\u7684\u6bd4\u55bb\u5982\u4f55\u6f14\u53d8\uff0c\u54ea\u4e9b\u53d8\u5f97\u66f4\u6d41\u884c\u6216\u9010\u6e10\u6d88\u5931\uff0c\u4ee5\u53ca\u603b\u4f53\u800c\u8a00\uff0c\u4e00\u7ec4\u6bd4\u55bb\u5982\u4f55\u4ee3\u8868\u7535\u5f71\uff0c\u5e76\u53ef\u80fd\u662f\u5176\u6210\u529f\u7684\u5173\u952e\u3002\u6240\u751f\u6210\u7684\u6570\u636e\u96c6\uff0c\u6240\u63d0\u53d6\u7684\u4fe1\u606f\u4ee5\u53ca\u6240\u63d0\u4f9b\u7684\u6458\u8981\u5bf9\u4e8e\u6d89\u53ca\u7535\u5f71\u548c\u7535\u5f71\u7684\u4efb\u4f55\u7814\u7a76\u90fd\u662f\u6709\u7528\u7684\u8d44\u6e90\u3002\u5b83\u4eec\u53ef\u4ee5\u63d0\u4f9b\u6709\u5173\u5728\u6570\u636e\u96c6\u4e4b\u4e0a\u6784\u5efa\u7684\u6a21\u578b\u7684\u884c\u4e3a\u7684\u9002\u5f53\u4e0a\u4e0b\u6587\u548c\u89e3\u91ca\uff0c\u5305\u62ec\u751f\u6210\u65b0\u5185\u5bb9\u6216\u5c06\u5176\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u3002<\/span><\/section>\n


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

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    \u9488\u5bf9\u591a\u6837\u548c\u7ecf\u9a8c\u4e30\u5bcc\u7684\u7fa4\u4f53\u7684\u516c\u5e73\u805a\u7c7b<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    Fair Clustering for Diverse and Experienced Groups<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    http:\/\/arxiv.org\/abs\/2006.05645<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Ilya Amburg, Nate Veldt, Austin R. Benson<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u673a\u5668\u5b66\u4e60\u52a0\u5267\u504f\u89c1\u7684\u80fd\u529b\u5bfc\u81f4\u4e86\u8bb8\u591a\u4ee5\u516c\u5e73\u4e3a\u4e2d\u5fc3\u7684\u7b97\u6cd5\u3002\u4f8b\u5982\uff0c\u516c\u5e73\u96c6\u7fa4\u7b97\u6cd5\u901a\u5e38\u4e13\u6ce8\u4e8e\u96c6\u7fa4\u5185\u53d7\u4fdd\u62a4\u5c5e\u6027\u7684\u5747\u8861\u8868\u793a\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u4e2a\u516c\u5e73\u7684\u805a\u7c7b\u53d8\u4f53\uff0c\u5176\u4e2d\u8f93\u5165\u6570\u636e\u662f\u5177\u6709\u591a\u79cd\u8fb9\u7c7b\u578b\u7684\u8d85\u56fe\uff0c\u8868\u793a\u6709\u5173\u4e2a\u4eba\u7fa4\u4f53\u8fc7\u53bb\u7ecf\u9a8c\u7684\u4fe1\u606f\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u57fa\u4e8e\u7ecf\u9a8c\u7684\u591a\u6837\u6027\uff0c\u800c\u4e0d\u662f\u53d7\u4fdd\u62a4\u7684\u5c5e\u6027\uff0c\u76ee\u7684\u662f\u5f62\u6210\u5728\u53c2\u4e0e\u8fb9\u7c7b\u578b\u65b9\u9762\u65e2\u5177\u6709\u7ecf\u9a8c\u53c8\u5177\u6709\u591a\u6837\u6027\u7684\u7ec4\u3002\u6211\u4eec\u4f7f\u7528\u57fa\u4e8e\u8fb9\u7684\u6b63\u5219\u5316\u805a\u7c7b\u76ee\u6807\u5bf9\u8be5\u76ee\u6807\u8fdb\u884c\u5efa\u6a21\uff0c\u8bbe\u8ba1\u7528\u4e8e\u4f18\u5316NP\u786c\u76ee\u6807\u7684\u9ad8\u65482\u8fd1\u4f3c\u7b97\u6cd5\uff0c\u5e76\u63d0\u4f9b\u8d85\u53c2\u6570\u7684\u8fb9\u754c\u4ee5\u907f\u514d\u5e73\u51e1\u7684\u89e3\u51b3\u65b9\u6848\u3002\u6211\u4eec\u6f14\u793a\u4e86\u6b64\u6846\u67b6\u5728\u5728\u7ebf\u8bc4\u8bba\u5e73\u53f0\u4e2d\u7684\u6f5c\u5728\u5e94\u7528\uff0c\u8be5\u5e73\u53f0\u7684\u76ee\u6807\u662f\u9488\u5bf9\u4ea7\u54c1\u7c7b\u578b\u7b56\u5212\u7528\u6237\u8bc4\u8bba\u96c6\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u201c\u7ecf\u9a8c\u201d\u5bf9\u5e94\u4e8e\u719f\u6089\u4ea7\u54c1\u7c7b\u578b\u7684\u7528\u6237\uff0c\u201c\u591a\u6837\u6027\u201d\u5bf9\u5e94\u4e8e\u5df2\u67e5\u770b\u76f8\u5173\u4ea7\u54c1\u7684\u7528\u6237\u3002<\/span><\/section>\n

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

    \u91d1\u878d\u7cfb\u7edf\u4e2d\u7684\u7f51\u7edc\u8bc4\u4f30 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901222\u7bc7<\/a>
    <\/p>\n

    COVID-19\uff1a\u91cd\u65b0\u5f00\u653e\u65f6\u7684\u793e\u4ea4\u5a92\u4f53\u60c5\u7eea\u5206\u6790 |  \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901220\u7bc7<\/a>
    <\/p>\n

    \u9ad8\u9636\u4ea4\u4e92\u4f5c\u7528\u4e0b\u5408\u4f5c\u7684\u6f14\u5316\uff1a\u4ece\u7f51\u7edc\u5230\u8d85\u56fe | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901216\u7bc7<\/a>
    <\/p>\n

    \u75be\u75c5\u548c\u4fe1\u606f\u5728\u591a\u91cd\u7f51\u7edc\u4e2d\u4ee5\u4e0d\u540c\u7684\u901f\u5ea6\u4f20\u64ad | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901231\u7bc7<\/a>
    <\/p>\n

    \u4ece\u51fa\u884c\u6570\u636e\u4e2d\u63d0\u53d6\u516c\u5171\u4ea4\u901a\u7684\u65f6\u7a7a\u9700\u6c42 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901233\u7bc7<\/a>
    <\/p>\n

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

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    <\/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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