{"id":21398,"date":"2020-10-23T22:59:54","date_gmt":"2020-10-23T14:59:54","guid":{"rendered":"https:\/\/swarma.org\/?p=21398"},"modified":"2020-10-23T22:59:54","modified_gmt":"2020-10-23T14:59:54","slug":"%e5%ad%a6%e4%b9%a0%e6%96%b0%e6%8a%80%e8%83%bd%e6%98%af%e5%90%a6%e6%9c%89%e5%9b%9e%e6%8a%a5%ef%bc%9f%e6%8f%ad%e7%a4%ba%e4%ba%a4%e5%8f%89%e6%8a%80%e8%83%bd%e7%9a%84%e7%bb%8f%e6%b5%8e%e5%88%a9%e7%9b%8a","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=21398","title":{"rendered":"\u5b66\u4e60\u65b0\u6280\u80fd\u662f\u5426\u6709\u56de\u62a5\uff1f\u63ed\u793a\u4ea4\u53c9\u6280\u80fd\u7684\u7ecf\u6d4e\u5229\u76ca | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901211\u7bc7"},"content":{"rendered":"
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\u96c6\u667a\u6591\u56fe\u6700\u65b0\u8bba\u6587\u680f\u76ee\uff0c\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u6bcf\u5929\u5373\u65f6\u66f4\u65b0\u76f8\u5173\u9876\u520a\u8bba\u6587\uff0c\u548c\u6700\u65b0ar Xiv\u9884\u5370\u672c\u8bba\u6587\u3002<\/span>
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\u672c\u6587\u662f\u5bf9\u8fd1\u671f<\/span>arX<\/span>iv<\/span>\u8bba\u6587\u7684<\/span>\u6c47\u603b\u7f16\u8bd1\uff08by \u5f69\u4e91\u5c0f\u8bd1\uff09\u3002\u66f4\u591a\u6700\u65b0\u8bba\u6587\uff0c\u8bf7\u626b\u4e8c\u7ef4\u7801\u83b7\u53d6\u3002<\/span><\/section>\n

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    \u793e\u4f1a\u6ce1\u6cab\u4e0e\u8d85\u7ea7\u4f20\u64ad\u8005: \u8d85\u7ea7\u6811\u4e0a\u4f20\u67d3\u8fc7\u7a0b\u7684\u6e90\u8bc6\u522b\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u8bc4\u4f30\u793e\u4f1a\u7f51\u7edc\u7ed3\u6784\u5bf9\u51a0\u72b6\u75c5\u6bd2\u4f20\u64ad\u7684\u5f71\u54cd: \u4e00\u4e2a\u5e7f\u4e49\u7684\u7a7a\u95f4 SEIRD \u6a21\u578b\u65b0\u51a0\u80ba\u708e\uff1b<\/span><\/h2>\n<\/li>\n<\/ul>\n

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

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    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Does it Pay Off to Learn a New Skill? Revealing the Economic Benefits of Cross-Skilling<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=90760506-14e7-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Fabian Stephany<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8fd9\u9879\u5de5\u4f5c\u7814\u7a76\u4e86\u4ece\u4e0d\u540c\u9886\u57df\u5b66\u4e60\u4e00\u9879\u65b0\u6280\u80fd\u7684\u7ecf\u6d4e\u6548\u76ca: \u4ea4\u53c9\u6280\u80fd\u3002\u4e3a\u4e86\u8bc4\u4f30\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u4ece4810\u4e2a\u5728\u7ebf\u81ea\u7531\u804c\u4e1a\u8005\u7684\u5de5\u4f5c\u6863\u6848\u4e2d\u6784\u5efa\u4e86\u4e00\u4e2a\u6280\u80fd\u7f51\u7edc\u3002\u57fa\u4e8e\u8fd9\u79cd\u6280\u80fd\u7f51\u7edc\uff0c\u63ed\u793a\u4e863,525\u79cd\u4e0d\u540c\u6280\u80fd\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5b66\u4e60\u4e00\u79cd\u65b0\u6280\u80fd\u7684\u8fb9\u9645\u6548\u5e94\u53ef\u4ee5\u901a\u8fc7\u5de5\u4eba\u7684\u5de5\u8d44\u8ba1\u7b97\u51fa\u6765\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5b66\u4e60\u4e00\u9879\u65b0\u6280\u80fd\u7684\u9644\u52a0\u7ecf\u6d4e\u4ef7\u503c\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d6\u51b3\u4e8e\u5df2\u7ecf\u5b58\u5728\u7684\u6280\u80fd\u7ec4\u5408\uff0c\u4f46\u662f\u4ece\u4e0d\u540c\u9886\u57df\u83b7\u5f97\u4e00\u9879\u6280\u80fd\u5f80\u5f80\u662f\u6709\u76ca\u7684\u3002\u7531\u4e8e\u6280\u672f\u548c\u793e\u4f1a\u53d8\u9769\u6b63\u5728\u5feb\u901f\u91cd\u7ec4\u5de5\u4f5c\u7684\u4efb\u52a1\u6863\u6848\uff0c\u8fd9\u9879\u7814\u7a76\u7684\u7ed3\u679c\u6709\u52a9\u4e8e\u9610\u660e\u638c\u63e1\u65b0\u6280\u672f\u548c\u8bbe\u8ba1\u4e2a\u4eba\u57f9\u8bad\u9014\u5f84\u6240\u9700\u7684\u6280\u80fd\u7ec4\u5408\u3002\u8fd9\u6709\u52a9\u4e8e\u63d0\u9ad8\u5c31\u4e1a\u80fd\u529b\u548c\u51cf\u5c11\u52b3\u52a8\u529b\u5e02\u573a\u77ed\u7f3a\u3002<\/span><\/section>\n


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


    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Multi-agent active perception with prediction rewards<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=18e771ae-14ed-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Mikko Lauri,Frans A. Oliehoek<\/span><\/section>\n

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    \u6458\u8981\uff1a<\/span><\/strong>\u591a\u667a\u80fd\u4f53\u4e3b\u52a8\u611f\u77e5\u662f\u4e00\u7ec4\u667a\u80fd\u4f53\u5408\u4f5c\u6536\u96c6\u89c2\u6d4b\u6570\u636e\uff0c\u8ba1\u7b97\u9690\u542b\u53d8\u91cf\u7684\u8054\u5408\u4f30\u8ba1\u3002\u4efb\u52a1\u662f\u5206\u6563\u7684\uff0c\u8054\u5408\u4f30\u8ba1\u53ea\u80fd\u5728\u4efb\u52a1\u7ed3\u675f\u540e\u901a\u8fc7\u878d\u5408\u6240\u6709\u4ee3\u7406\u7684\u89c2\u6d4b\u503c\u6765\u8ba1\u7b97\u3002\u76ee\u6807\u662f\u6700\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u4f30\u8ba1\u7684\u51c6\u786e\u6027\u3002\u51c6\u786e\u6027\u901a\u8fc7\u96c6\u4e2d\u7684\u9884\u6d4b\u5956\u52b1\u88ab\u91cf\u5316\uff0c\u8be5\u5956\u52b1\u7531\u4e00\u4e2a\u96c6\u4e2d\u7684\u51b3\u7b56\u8005\u51b3\u5b9a\uff0c\u4ed6\u611f\u77e5\u5230\u4efb\u52a1\u7ed3\u675f\u540e\u6240\u6709\u4ee3\u7406\u4eba\u6536\u96c6\u7684\u89c2\u5bdf\u7ed3\u679c\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u591a\u667a\u80fd\u4f53\u7684\u4e3b\u52a8\u611f\u77e5\u6a21\u578b\u5316\u4e3a\u4e00\u4e2a\u5177\u6709\u51f8\u96c6\u4e2d\u9884\u6d4b\u5956\u52b1\u7684\u5206\u6563\u90e8\u5206\u53ef\u89c2\u5bdf\u9a6c\u53ef\u592b\u51b3\u7b56\u8fc7\u7a0b\u3002\u901a\u8fc7\u5f15\u5165\u6bcf\u4e2a\u667a\u80fd\u4f53\u7684\u4e2a\u4f53\u9884\u6d4b\u884c\u4e3a\uff0c\u5c06\u95ee\u9898\u8f6c\u5316\u4e3a\u5177\u6709\u5206\u6563\u9884\u6d4b\u5956\u52b1\u7684\u6807\u51c6 Dec-POMDP \u7b97\u6cd5\u3002\u5730\u65b9\u5206\u6743\u635f\u5931\u662f\u6709\u754c\u7684\uff0c\u6211\u4eec\u7ed9\u51fa\u4e86\u5b83\u4e3a\u96f6\u65f6\u7684\u4e00\u4e2a\u5145\u5206\u6761\u4ef6\u3002\u6211\u4eec\u7684\u7ed3\u679c\u5141\u8bb8\u5e94\u7528\u4efb\u4f55 Dec-POMDP \u89e3\u7b97\u6cd5\u6765\u89e3\u51b3\u591a\u667a\u80fd\u4f53\u4e3b\u52a8\u611f\u77e5\u95ee\u9898\uff0c\u5e76\u4f7f\u89c4\u5212\u51cf\u5c11\u4e0d\u786e\u5b9a\u6027\u6ca1\u6709\u663e\u5f0f\u7684\u8054\u5408\u4f30\u8ba1\u8ba1\u7b97\u3002\u901a\u8fc7\u5c06\u6807\u51c6 Dec-POMDP \u7b97\u6cd5\u5e94\u7528\u4e8e\u591a\u667a\u80fd\u4f53\u4e3b\u52a8\u611f\u77e5\u95ee\u9898\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u6211\u4eec\u7814\u7a76\u7ed3\u679c\u7684\u7ecf\u9a8c\u6709\u7528\u6027\uff0c\u8868\u660e\u5728\u89c4\u5212\u9886\u57df\u4e2d\u53ef\u6269\u5c55\u6027\u6709\u6240\u63d0\u9ad8\u3002<\/span><\/section>\n


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

    <\/span>
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    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    A mathematical theory of cooperative communication<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=113ce506-14ed-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Pei Wang,Junqi Wang,Pushpi Paranamana,Patrick Shafto<\/span><\/section>\n

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    \u6458\u8981\uff1a<\/span><\/strong>\u5408\u4f5c\u4ea4\u6d41\u5728\u4eba\u7c7b\u8ba4\u77e5\u7406\u8bba\u3001\u8bed\u8a00\u7406\u8bba\u3001\u53d1\u5c55\u7406\u8bba\u3001\u6587\u5316\u7406\u8bba\u4ee5\u53ca\u4eba\u673a\u4ea4\u4e92\u7406\u8bba\u4e2d\u5360\u6709\u91cd\u8981\u5730\u4f4d\u3002\u5148\u524d\u7684\u5408\u4f5c\u901a\u4fe1\u6a21\u578b\u672c\u8d28\u4e0a\u662f\u7b97\u6cd5\u6a21\u578b\uff0c\u5e76\u6ca1\u6709\u9610\u660e\u4e3a\u4ec0\u4e48\u5408\u4f5c\u53ef\u4ee5\u4ea7\u751f\u6709\u6548\u7684\u4fe1\u5ff5\u4f20\u9012\uff0c\u4ee5\u53ca\u7531\u4e8e\u4ee3\u7406\u4e4b\u95f4\u4fe1\u5ff5\u7684\u5dee\u5f02\u53ef\u80fd\u4ea7\u751f\u4ec0\u4e48\u9650\u5236\u3002\u901a\u8fc7\u4e0e\u6700\u4f18\u4f20\u8f93\u7406\u8bba\u7684\u8054\u7cfb\uff0c\u6211\u4eec\u5efa\u7acb\u4e86\u4e00\u4e2a\u5408\u4f5c\u901a\u4fe1\u7684\u6570\u5b66\u6846\u67b6\u3002\u6211\u4eec\u63a8\u5bfc\u4e86\u7279\u6b8a\u60c5\u51b5\u4e0b\u7684\u5148\u9a8c\u6a21\u578b\uff0c\u4fe1\u5ff5\u8f6c\u79fb\u65b9\u6848\u7684\u7edf\u8ba1\u89e3\u91ca\uff0c\u4ee5\u53ca\u9c81\u68d2\u6027\u548c\u4e0d\u7a33\u5b9a\u6027\u7684\u8bc1\u660e\u3002\u8ba1\u7b97\u6a21\u62df\u652f\u6301\u548c\u9610\u8ff0\u6211\u4eec\u7684\u7406\u8bba\u7ed3\u679c\uff0c\u5e76\u8bc1\u660e\u7b26\u5408\u4eba\u7c7b\u884c\u4e3a\u3002\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u5408\u4f5c\u4ea4\u6d41\u80fd\u591f\u6709\u6548\u3001\u7a33\u5065\u5730\u8fdb\u884c\u4fe1\u5ff5\u4f20\u9012\uff0c\u8fd9\u662f\u89e3\u91ca\u4eba\u7c7b\u5b66\u4e60\u884c\u4e3a\u548c\u6539\u5584\u4eba\u673a\u4ea4\u4e92\u6240\u5fc5\u9700\u7684\u3002<\/span><\/section>\n


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    YouTube \u4e0a\u7684\u4f2a\u79d1\u5b66\u5185\u5bb9:<\/strong><\/span><\/p>\n

    \u8bc4\u4f30\u89c2\u770b\u5386\u53f2\u5bf9\u63a8\u8350\u7b97\u6cd5\u7684\u5f71\u54cd<\/strong><\/span><\/p>\n

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

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    \u539f<\/span>\u6587\u6807\u9898\uff1a<\/strong><\/h2>\n

    Pseudoscientific Content on YouTube: Assessing the Effects of Watch History on the Recommendation Algorithm<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=8f0645c8-14e7-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Kostantinos Papadamou,Savvas Zannettou,Jeremy Blackburn,Emiliano De Cristofaro,Gianluca Stringhini,Michael Sirivianos<\/span><\/section>\n

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    \u6458\u8981\uff1a<\/span><\/strong>\u5df2\u7ecf\u5f7b\u5e95\u6539\u53d8\u4e86\u4eba\u4eec\u53d1\u73b0\u548c\u6d88\u8d39\u89c6\u9891\u7684\u65b9\u5f0f\uff0c\u6210\u4e3a\u4e92\u8054\u7f51\u7528\u6237\u7684\u4e3b\u8981\u65b0\u95fb\u6765\u6e90\u4e4b\u4e00\u3002\u7531\u4e8e YouTube \u4e0a\u7684\u5185\u5bb9\u662f\u7531\u7528\u6237\u751f\u6210\u7684\uff0c\u8be5\u5e73\u53f0\u7279\u522b\u5bb9\u6613\u53d7\u5230\u9519\u8bef\u4fe1\u606f\u548c\u9634\u8c0b\u89c6\u9891\u7684\u653b\u51fb\u3002\u66f4\u7cdf\u7cd5\u7684\u662f\uff0cYouTube \u7684\u63a8\u8350\u7b97\u6cd5\u5728\u65e0\u610f\u4e2d\u63a8\u5e7f\u53ef\u7591\u5185\u5bb9\u65f6\u6240\u626e\u6f14\u7684\u89d2\u8272\u5e76\u6ca1\u6709\u5f97\u5230\u5f88\u597d\u7684\u7406\u89e3\uff0c\u800c\u4e14\u53ef\u80fd\u4f1a\u4f7f\u95ee\u9898\u53d8\u5f97\u66f4\u7cdf\u3002\u8fd9\u53ef\u80fd\u4f1a\u4ea7\u751f\u53ef\u6015\u7684\u73b0\u5b9e\u540e\u679c\uff0c\u5c24\u5176\u662f\u5f53\u4f2a\u79d1\u5b66\u5185\u5bb9\u5728\u5173\u952e\u65f6\u523b\u5411\u7528\u6237\u63a8\u5e7f\u65f6\uff0c\u4f8b\u5982\u57282019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u6d41\u884c\u671f\u95f4\u3002\u672c\u6587\u5bf9 YouTube \u4e0a\u7684\u4f2a\u79d1\u5b66\u9519\u8bef\u4fe1\u606f\u8fdb\u884c\u4e86\u7279\u5f81\u5206\u6790\u548c\u68c0\u6d4b\u3002\u6211\u4eec\u6536\u96c6\u4e866.6 k \u7684\u89c6\u9891\uff0c\u5185\u5bb9\u6d89\u53ca2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u3001\u5730\u7403\u5e73\u9762\u7406\u8bba\u3001\u53cd\u63a5\u79cd\u75ab\u82d7\u548c\u53cd\u63a9\u819c\u8fd0\u52a8; \u901a\u8fc7\u4f17\u5305\uff0c\u6211\u4eec\u628a\u5b83\u4eec\u6ce8\u91ca\u4e3a\u4f2a\u79d1\u5b66\u3001\u5408\u6cd5\u79d1\u5b66\u6216\u65e0\u5173\u7d27\u8981\u7684\u4e1c\u897f\u3002\u7136\u540e\u6211\u4eec\u8bad\u7ec3\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u5206\u7c7b\u5668\u6765\u68c0\u6d4b\u4f2a\u79d1\u5b66\u89c6\u9891\uff0c\u51c6\u786e\u7387\u8fbe\u523076.1% \u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u91cf\u5316\u7528\u6237\u5728\u5e73\u53f0\u5404\u4e2a\u90e8\u5206(\u4f8b\u5982\uff0c\u7528\u6237\u4e3b\u9875\u3001\u89c2\u770b\u7279\u5b9a\u89c6\u9891\u65f6\u7684\u63a8\u8350\u89c6\u9891\u6216\u641c\u7d22\u7ed3\u679c)\u4e0a\u5bf9\u8fd9\u4e9b\u5185\u5bb9\u7684\u63a5\u89e6\u7a0b\u5ea6\uff0c\u4ee5\u53ca\u8fd9\u4e9b\u63a5\u89e6\u7a0b\u5ea6\u968f\u7528\u6237\u89c2\u770b\u5386\u53f2\u7684\u53d8\u5316\u800c\u53d8\u5316\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5f53\u7528\u6237\u641c\u7d22\u7279\u5b9a\u4e3b\u9898\u65f6\uff0cYouTube \u7684\u63a8\u8350\u7b97\u6cd5\u5728\u63a8\u8350\u4f2a\u79d1\u5b66\u5185\u5bb9\u65b9\u9762\u66f4\u52a0\u5484\u5484\u903c\u4eba\uff0c\u800c\u8fd9\u4e9b\u63a8\u8350\u5728\u7528\u6237\u4e3b\u9875\u4e0a\u6216\u79ef\u6781\u89c2\u770b\u4f2a\u79d1\u5b66\u89c6\u9891\u65f6\u5219\u4e0d\u90a3\u4e48\u5e38\u89c1\u3002\u6700\u540e\uff0c\u6211\u4eec\u9610\u660e\u4e86\u7528\u6237\u7684\u89c2\u770b\u5386\u53f2\u5bf9\u63a8\u8350\u89c6\u9891\u7c7b\u578b\u7684\u91cd\u8981\u5f71\u54cd\u3002<\/span><\/section>\n


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    \u8282\u70b9\u5c5e\u6027\u548c\u90bb\u8fd1\u6027\u5728\u56fe\u7684<\/strong><\/span><\/p>\n

    \u534a\u76d1\u7763\u5206\u7c7b\u4e2d\u7684\u8054\u5408\u5e94\u7528<\/strong><\/span><\/p>\n

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

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    \u539f\u6587\u6807<\/span><\/strong>\u9898<\/span>\uff1a<\/span><\/strong><\/span><\/h2>\n

    Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=8f0645c8-14e7-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Arpit Merchant,Michael Mathioudakis<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8282\u70b9\u5206\u7c7b\u95ee\u9898\u662f\u6839\u636e\u56fe\u4e2d\u67d0\u4e9b\u8282\u70b9\u7684\u7ed3\u6784\u3001\u8282\u70b9\u5c5e\u6027\u548c\u6807\u7b7e\uff0c\u63a8\u65ad\u51fa\u56fe\u4e2d\u672a\u77e5\u7684\u8282\u70b9\u6807\u7b7e\u3002\u6b64\u4efb\u52a1\u7684\u65b9\u6cd5\u901a\u5e38\u5047\u8bbe\u76f8\u90bb\u8282\u70b9\u5177\u6709\u76f8\u4f3c\u7684\u5c5e\u6027\uff0c\u56e0\u6b64\uff0c\u53ef\u4ee5\u4ece\u5176\u90bb\u5c45\u7684\u6807\u7b7e\u9884\u6d4b\u8282\u70b9\u7684\u6807\u7b7e\u3002\u867d\u7136\u8fd9\u79cd\u540c\u76f8\u6027\u7ecf\u5e38\u88ab\u89c2\u5bdf\u5230(\u4f8b\u5982\uff0c\u5bf9\u4e8e\u793e\u4f1a\u7f51\u7edc\u4e2d\u7684\u653f\u6cbb\u6d3e\u522b) \uff0c\u4f46\u662f\u8fd9\u79cd\u5047\u8bbe\u53ef\u80fd\u4e0d\u9002\u7528\u4e8e\u4efb\u610f\u7684\u56fe\u5f62\u6570\u636e\u96c6\u548c\u5206\u7c7b\u4efb\u52a1\u3002\u4e8b\u5b9e\u4e0a\uff0c\u5171\u4eab\u76f8\u540c\u6807\u7b7e\u7684\u8282\u70b9\u53ef\u80fd\u76f8\u90bb\u4f46\u5c5e\u6027\u4e0d\u540c; \u6216\u8005\u4e0d\u76f8\u90bb\u4f46\u5c5e\u6027\u76f8\u4f3c\u3002\u6211\u4eec\u7684\u76ee\u6807\u662f\u5f00\u53d1\u4e00\u79cd\u8282\u70b9\u5206\u7c7b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u9002\u5e94\u4e00\u7cfb\u5217\u8bbe\u7f6e\uff0c\u5176\u4e2d\u6807\u7b7e\u4e0e\u56fe\u7ed3\u6784\u6216\u8282\u70b9\u5c5e\u6027\u76f8\u5173\uff0c\u6216\u4e24\u8005\u517c\u800c\u6709\u4e4b\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u63d0\u51fa\u4e86 JANE (\u8054\u5408\u4f7f\u7528 Attributes \u548c Node Embeddings) : \u4e00\u79cd\u65b0\u9896\u7684\u539f\u5219\u6027\u65b9\u6cd5\uff0c\u5b83\u57fa\u4e8e\u6982\u7387\u751f\u6210\u6a21\u578b\uff0c\u6743\u8861\u8282\u70b9\u90bb\u8fd1\u6027\u548c\u5c5e\u6027\u76f8\u4f3c\u6027\u5728\u9884\u6d4b\u6807\u7b7e\u4e2d\u7684\u4f5c\u7528\u3002\u6211\u4eec\u5728\u5404\u79cd\u56fe\u5f62\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u4ee5\u53ca\u4e0e\u6807\u51c6\u57fa\u7ebf\u7684\u6bd4\u8f83\u8868\u660e\uff0cJANE \u5c55\u793a\u4e86\u4e00\u79cd\u901a\u7528\u6027\u548c\u7ade\u4e89\u6027\u6027\u80fd\u7684\u5353\u8d8a\u7ec4\u5408\u3002<\/span><\/section>\n


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    \u7528\u4e8e\u65b0\u51a0\u75c5\u6bd2\u518d\u5229\u7528<\/strong><\/span><\/p>\n

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

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    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=8a75c4ca-14e7-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Charilaos I. Kanatsoulis,Nicholas D. Sidiropoulos<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u77e5\u8bc6\u56fe(KGs)\u662f\u4e00\u79cd\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u5c06\u77e5\u8bc6\u5e93\u4e2d\u5b9e\u4f53\u4e4b\u95f4\u7684\u5173\u7cfb\u884c\u4e3a\u7f16\u7801\u3002KGs \u53ef\u4ee5\u540c\u65f6\u6a21\u62df\u591a\u79cd\u4e0d\u540c\u7c7b\u578b\u7684\u4e3b\u8c13\u5bbe\u5173\u7cfb\u548c\u9ad8\u9636\u5173\u7cfb\u3002\u56e0\u6b64\uff0c\u4ed6\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7075\u6d3b\u7684\u5efa\u6a21\u6846\u67b6\uff0c\u8fd9\u4e2a\u6846\u67b6\u5df2\u7ecf\u5e94\u7528\u5230\u8bb8\u591a\u9886\u57df\uff0c\u5305\u62ec\u751f\u7269\u5b66\u548c\u836f\u7406\u5b66—- \u6700\u8fd1\uff0c\u5728\u4e0e2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u7684\u6597\u4e89\u4e2d\u3002\u4ece\u5b66\u4e60\u7684\u89d2\u5ea6\u6765\u770b\uff0cKG \u5efa\u6a21\u7684\u7075\u6d3b\u6027\u65e2\u662f\u4e00\u4ef6\u597d\u4e8b\uff0c\u4e5f\u662f\u4e00\u4e2a\u6311\u6218\u3002\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u7528\u4e8e KG \u5d4c\u5165\u7684\u8026\u5408\u5f20\u91cf\u77e9\u9635\u6846\u67b6\u3002\u6211\u4eec\u5229\u7528\u5f20\u91cf\u5206\u89e3\u5de5\u5177\u6765\u5b66\u4e60\u77e5\u8bc6\u5e93\u4e2d\u5b9e\u4f53\u548c\u5173\u7cfb\u7684\u7b80\u660e\u8868\u793a\u6cd5\uff0c\u5e76\u5229\u7528\u8fd9\u4e9b\u8868\u793a\u6cd5\u4e3a2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u8fdb\u884c\u836f\u7269\u518d\u5229\u7528\u3002\u6211\u4eec\u63d0\u51fa\u7684\u6846\u67b6\u662f\u6709\u539f\u5219\u7684\uff0c\u4f18\u96c5\u7684\uff0c\u5e76\u8fbe\u5230100% \u7684\u6539\u5584\u6700\u4f73\u57fa\u7ebf\u76842019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u836f\u7269\u518d\u5229\u7528\u4efb\u52a1\u4f7f\u7528\u6700\u8fd1\u5f00\u53d1\u7684\u751f\u7269 KG\u3002<\/span><\/section>\n


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    \u81ea\u9002\u5e94\u7f51\u683c\u7ec6\u5316\u548c\u7c97\u5316<\/strong><\/span><\/p>\n

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    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Adaptive Mesh Refinement and Coarsening for Diffusion-Reaction Epidemiological Models<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=c2a097a4-14e6-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Mal\u00fa Grave,Alvaro L. G. A. Coutinho<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>2020\u5e742019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u7684\u7206\u53d1\u5f15\u8d77\u4e86\u4eba\u4eec\u5bf9\u4f20\u67d3\u75c5\u6570\u5b66\u6a21\u578b\u7684\u5174\u8da3\u3002\u75be\u75c5\u4f20\u64ad\u53ef\u4ee5\u6a21\u62df\u4e3a\u5206\u5ba4\u6a21\u578b\uff0c\u5728\u8fd9\u79cd\u6a21\u578b\u4e2d\uff0c\u88ab\u7814\u7a76\u7684\u4eba\u53e3\u88ab\u5212\u5206\u4e3a\u82e5\u5e72\u5206\u5ba4\uff0c\u5e76\u5047\u8bbe\u4ece\u4e00\u4e2a\u5206\u5ba4\u5230\u53e6\u4e00\u4e2a\u5206\u5ba4\u7684\u4f20\u64ad\u7684\u6027\u8d28\u548c\u65f6\u95f4\u901f\u7387\u3002\u901a\u5e38\uff0c\u5b83\u4eec\u662f\u7531\u5e38\u5fae\u5206\u65b9\u7a0b\u7ec4(ODE\u2019s)\u7ec4\u6210\u7684\u3002\u5176\u4e2d\u4e00\u7c7b\u6a21\u578b\u8003\u8651\u6613\u611f\u4eba\u7fa4\u3001\u66b4\u9732\u4eba\u7fa4\u3001\u611f\u67d3\u4eba\u7fa4\u3001\u5eb7\u590d\u4eba\u7fa4\u548c\u6b7b\u4ea1\u4eba\u7fa4\u7684 SEIRD \u6a21\u578b\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u6a21\u578b\u5e76\u4e0d\u603b\u662f\u8003\u8651\u5230\u4e2a\u4f53\u4ece\u4e00\u4e2a\u533a\u57df\u5230\u53e6\u4e00\u4e2a\u533a\u57df\u7684\u79fb\u52a8\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u5c06 SEIRD \u623f\u5ba4\u6a21\u578b\u7684\u516c\u5f0f\u63a8\u5e7f\u5230\u504f\u5fae\u5206\u65b9\u7a0b\u7684\u6269\u6563-\u53cd\u5e94\u7cfb\u7edf\uff0c\u4ee5\u6355\u63492019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u7684\u8fde\u7eed\u65f6\u7a7a\u52a8\u6001\u3002\u7531\u4e8e\u75c5\u6bd2\u7684\u4f20\u64ad\u4e0d\u4ec5\u4ec5\u662f\u901a\u8fc7\u6269\u6563\uff0c\u6211\u4eec\u5728\u65b9\u7a0b\u7cfb\u7edf\u4e2d\u5f15\u5165\u4e86\u4e00\u4e2a\u6e90\u9879\uff0c\u4ee3\u8868\u4ece\u65c5\u884c\u56de\u6765\u7684\u53d7\u611f\u67d3\u7684\u4eba\u3002\u6211\u4eec\u8fd8\u589e\u52a0\u4e86\u5404\u5411\u5f02\u6027\u975e\u5747\u5300\u6269\u6563\u7684\u53ef\u80fd\u6027\u3002\u8003\u8651\u5230\u81ea\u9002\u5e94\u7f51\u683c\u7ec6\u5316\u548c\u7c97\u5316\uff0c\u6211\u4eec\u5728\u4e00\u4e2a\u5f00\u653e\u7684\u6709\u9650\u5143\u5e93 texttt { libMesh }\u4e2d\u5b9e\u73b0\u4e86\u6574\u4e2a\u6a21\u578b\uff0c\u8be5\u5e93\u4e3a\u591a\u7269\u7406\u5b66\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6846\u67b6\u3002\u56e0\u6b64\uff0c\u8be5\u6a21\u578b\u53ef\u4ee5\u4ee3\u8868\u591a\u4e2a\u7a7a\u95f4\u5c3a\u5ea6\uff0c\u9002\u5e94\u75be\u75c5\u52a8\u6001\u7684\u5206\u8fa8\u7387\u3002\u6211\u4eec\u7528\u6807\u51c6\u7684 SEIRD \u6a21\u578b\u9a8c\u8bc1\u4e86\u6211\u4eec\u7684\u6a21\u578b\uff0c\u5e76\u7ed9\u51fa\u4e86\u51e0\u4e2a\u4f8b\u5b50\uff0c\u7a81\u51fa\u8bf4\u660e\u4e86\u5f53\u524d\u6a21\u578b\u7684\u65b0\u529f\u80fd\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u72b6\u6001\u56fe\u6838\u7684\u5bc6\u5ea6<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Density of States Graph Kernels<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=89d09b76-14e7-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Leo Huang,Andrew Graven,David Bindel<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981<\/span><\/strong>\uff1a<\/strong>\u56fe\u7ed3\u6784\u5316\u6570\u636e\u7684\u4e00\u4e2a\u91cd\u8981\u95ee\u9898\u662f\u5982\u4f55\u91cf\u5316\u56fe\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027\u3002\u56fe\u5f62\u6838\u51fd\u6570\u662f\u7528\u4e8e\u6b64\u7c7b\u4efb\u52a1\u7684\u65e2\u5b9a\u6280\u672f; \u7279\u522b\u662f\u90a3\u4e9b\u57fa\u4e8e\u968f\u673a\u6e38\u52a8\u548c\u8fd4\u56de\u6982\u7387\u7684\u51fd\u6570\uff0c\u5df2\u88ab\u8bc1\u660e\u5728\u4ece\u751f\u7269\u4fe1\u606f\u5b66\u5230\u793e\u4ea4\u7f51\u7edc\u5230\u8ba1\u7b97\u673a\u89c6\u89c9\u7b49\u5e7f\u6cdb\u5e94\u7528\u4e2d\u662f\u6709\u6548\u7684\u3002\u7136\u800c\uff0c\u968f\u673a\u6e38\u52a8\u6838\u4e00\u822c\u90fd\u5b58\u5728\u901f\u5ea6\u7f13\u6162\u548c\u6447\u6446\u4e0d\u5b9a\u7684\u95ee\u9898\uff0c\u5bfc\u81f4\u6e38\u52a8\u8fc7\u5206\u5f3a\u8c03\u5c40\u90e8\u56fe\u7684\u62d3\u6251\u7ed3\u6784\uff0c\u964d\u4f4e\u4e86\u5168\u5c40\u7ed3\u6784\u7684\u91cd\u8981\u6027\u3002\u4e3a\u4e86\u7ea0\u6b63\u8fd9\u4e9b\u95ee\u9898\uff0c\u6211\u4eec\u5728\u66f4\u4e00\u822c\u7684\u72b6\u6001\u5bc6\u5ea6\u6846\u67b6\u4e0b\u91cd\u65b0\u6784\u9020\u8fd4\u56de\u6982\u7387\u56fe\u6838—- \u8fd9\u4e2a\u6846\u67b6\u4f7f\u7528\u5149\u8c31\u5206\u6790\u7684\u955c\u5934\u6765\u63ed\u793a\u9690\u85cf\u5728\u5149\u8c31\u5185\u90e8\u7684\u56fe\u4e3b\u9898\u548c\u5c5e\u6027—- \u5e76\u4f7f\u7528\u6211\u4eec\u7684\u89e3\u91ca\u6765\u6784\u9020\u53ef\u4f38\u7f29\u7684\u3001\u57fa\u4e8e\u72b6\u6001\u7684\u590d\u5408\u5bc6\u5ea6\u7684\u56fe\u6838\uff0c\u8fd9\u4e9b\u6838\u5e73\u8861\u4e86\u5c40\u90e8\u548c\u5168\u5c40\u4fe1\u606f\uff0c\u4ece\u800c\u5728\u4e00\u7cfb\u5217\u57fa\u51c6\u6570\u636e\u96c6\u4e0a\u83b7\u5f97\u66f4\u9ad8\u7684\u5206\u7c7b\u51c6\u786e\u5ea6\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
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    <\/p>\n

    \n
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    <\/p>\n

    \u57fa\u4e8e\u6a21\u578b\u589e\u5f3a\u578b\u5f3a\u5316\u5b66\u4e60\u7684<\/strong><\/span><\/p>\n

    \u51fa\u79df\u8f66\u968f\u673a\u8def\u5f84\u4f18\u5316<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=c133c6a2-14e6-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Shen Ren,Qianxiao Li,Liye Zhang,Zheng Qin,Bo Yang<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672a\u6765\u7684\u79fb\u52a8\u5373\u7528\u670d\u52a1(Maas)\u5e94\u5305\u62ec\u4e00\u4e2a\u96c6\u6210\u7684\u53eb\u8f66\u3001\u8857\u9053\u53eb\u8f66\u548c\u62fc\u8f66\u7cfb\u7edf\uff0c\u4ee5\u53ca\u9488\u5bf9\u5b9e\u65f6\u3001\u968f\u673a\u9700\u6c42\u6a21\u5f0f\u7684\u4f18\u5316\u667a\u80fd\u8f66\u8f86\u8def\u7531\u3002\u8003\u8651\u4e2d\u5c0f\u578b\u9053\u8def\u7f51\u7edc\u7684\u968f\u673a\u9700\u6c42\u6a21\u5f0f\uff0c\u6211\u4eec\u7684\u76ee\u6807\u662f\u4f18\u5316\u5927\u578b\u8f66\u961f\u7684\u8857\u9053\u547c\u53eb\u670d\u52a1\u8def\u7531\u7b56\u7565\u3002\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u6a21\u578b\u7684\u8f66\u8f86\u8c03\u5ea6\u7b97\u6cd5\u3001\u4e00\u79cd\u9ad8\u6027\u80fd\u7684\u65e0\u6a21\u578b\u5f3a\u5316\u5b66\u4e60\u8c03\u5ea6\u7b97\u6cd5\u548c\u4e00\u79cd\u7ed3\u5408\u4e86\u81ea\u9876\u5411\u4e0b\u65b9\u6cd5\u548c\u65e0\u6a21\u578b\u5f3a\u5316\u5b66\u4e60\u8c03\u5ea6\u7b97\u6cd5\u4f18\u70b9\u7684\u6df7\u5408\u7b97\u6cd5\u3002\u6211\u4eec\u8bbe\u8ba1\u4e86\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u7684\u8def\u7531\u7b97\u6cd5\uff0c\u4f7f\u7528\u8fd1\u7aef\u7b56\u7565\u4f18\u5316\uff0c\u7ed3\u5408\u5185\u5728\u5956\u52b1\u548c\u5916\u5728\u5956\u52b1\uff0c\u5728\u63a2\u7d22\u548c\u5f00\u53d1\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\u3002\u5728\u57fa\u4e8e\u667a\u80fd\u4f53\u7684\u5927\u89c4\u6a21\u5fae\u89c2\u4eff\u771f\u5e73\u53f0\u4e0a\uff0c\u6211\u4eec\u7684\u65e0\u6a21\u578b\u5f3a\u5316\u5b66\u4e60\u548c\u6df7\u5408\u7b97\u6cd5\u5728\u4eba\u5de5\u9053\u8def\u7f51\u7edc\u548c\u57fa\u4e8e\u793e\u533a\u7684\u65b0\u52a0\u5761\u9053\u8def\u7f51\u7edc\u4e0a\u90fd\u8868\u73b0\u51fa\u4e86\u826f\u597d\u7684\u6027\u80fd\uff0c\u5e76\u4e14\u5177\u6709\u5b9e\u9645\u7684\u9700\u6c42\uff0c\u6211\u4eec\u7684\u6df7\u5408\u7b97\u6cd5\u53ef\u4ee5\u663e\u8457\u52a0\u901f\u65e0\u6a21\u578b\u5b66\u4e60\u8005\u7684\u5b66\u4e60\u8fc7\u7a0b\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
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    <\/p>\n

    \n
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    \u793e\u4f1a\u6ce1\u6cab\u4e0e\u8d85\u7ea7\u4f20\u64ad\u8005: <\/strong><\/span><\/p>\n

    \u8d85\u7ea7\u6811\u4e0a\u4f20\u67d3\u8fc7\u7a0b\u7684\u6e90\u8bc6\u522b<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=bd81621c-14e6-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Sam Spencer,Lav R. Varshney<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5148\u524d\u7684\u5de5\u4f5c\u5df2\u7ecf\u8868\u660e\uff0c\u5bf9\u4e8e\u6269\u5c55\u661f\u5f62\u7f51\u7edc\u4e0a\u7684\u4f20\u67d3\u8fc7\u7a0b(\u6811\u7684\u6b63\u597d\u6709\u4e00\u4e2a\u5ea6\u5927\u4e8e2\u7684\u8282\u70b9) \uff0c\u6709\u4e00\u4e2a\u7b80\u5355\u7684\uff0c\u89e3\u6790\u89e3\u7684\u6700\u5927\u53ef\u80fd\u611f\u67d3\u6e90\u7684\u9ad8\u5ea6\u7cbe\u786e\u7684\u8fd1\u4f3c\u503c\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5c06\u8fd9\u4e2a\u7ed3\u679c\u63a8\u5e7f\u5230\u4e00\u7c7b\u8d85\u6811\uff0c\u5c3d\u7ba1\u5728\u7ed3\u6784\u4e0a\u6709\u4e9b\u7c7b\u4f3c\uff0c\u4f46\u662f\u5b83\u63d0\u4f9b\u4e86\u66f4\u4e30\u5bcc\u7684\u8868\u793a\u7a7a\u95f4\u3002\u7279\u522b\u662f\uff0c\u8fd9\u79cd\u65b9\u6cd5\u53ef\u7528\u4e8e\u4f30\u8ba1\u75c5\u4eba\u96f6\u611f\u67d3\u6e90\uff0c\u5373\u4f7f\u611f\u67d3\u662f\u901a\u8fc7\u5927\u578b\u7fa4\u4f53\u805a\u4f1a\u800c\u4e0d\u662f\u4eba\u4e0e\u4eba\u4e4b\u95f4\u7684\u4f20\u64ad\u4f20\u64ad\u7684\uff0c\u800c\u4e14\u662f\u901a\u8fc7\u91cd\u53e0\u7a0b\u5ea6\u4e0d\u540c\u7684\u76f8\u4e92\u5173\u8054\u7684\u793e\u4f1a\u6ce1\u6cab\u4f20\u64ad\u7684\u3002\u5728\u63a5\u89e6\u8005\u8ffd\u8e2a\u7684\u60c5\u51b5\u4e0b\uff0c\u8fd9\u79cd\u4f30\u8ba1\u5668\u53ef\u7528\u4e8e\u786e\u5b9a\u672c\u5730\u7206\u53d1\u7684\u6e90\u5934\uff0c\u7136\u540e\u53ef\u7528\u4e8e\u6b63\u5411\u8ffd\u8e2a\u6216\u8fdb\u4e00\u6b65\u9006\u5411\u8ffd\u8e2a(\u4ee5\u7c7b\u4f3c\u6216\u5176\u4ed6\u65b9\u5f0f)\u81f3\u4e0a\u6e38\u6e90\u5934\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
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    <\/p>\n

    \n
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    <\/p>\n

    \u8bc4\u4f30\u793e\u4f1a\u7f51\u7edc\u7ed3\u6784<\/strong><\/span><\/p>\n

    \u5bf9\u51a0\u72b6\u75c5\u6bd2\u4f20\u64ad\u7684\u5f71\u54cd: <\/strong><\/span><\/p>\n

    \u4e00\u4e2a\u5e7f\u4e49\u7684\u7a7a\u95f4 SEIRD \u6a21\u578b\u65b0\u51a0\u80ba\u708e<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Assessing the Impact of Social Network Structure on the Diffusion of Coronavirus Disease (COVID-19): A Generalized Spatial SEIRD Model<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n
    https:\/\/pattern.swarma.org\/paper?id=ba845484-14e6-11eb-aa7d-0242ac1a000c<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Giorgio Fagiolo<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u7814\u7a76\u4e86\u5e7f\u4e49\u7a7a\u95f4 SEIRD \u6a21\u578b\u4e2d\u7684\u6d41\u884c\u75c5\u6269\u6563\u95ee\u9898\uff0c\u5176\u4e2d\u4e2a\u4f53\u6700\u521d\u8fde\u63a5\u5728\u4e00\u4e2a\u793e\u4f1a\u6216\u5730\u7406\u7f51\u7edc\u4e2d\u3002\u968f\u7740\u75c5\u6bd2\u5728\u7f51\u7edc\u4e2d\u4f20\u64ad\uff0c\u7531\u4e8e\u9694\u79bb\u63aa\u65bd\u548c\/\u6216\u7a7a\u95f4\u6269\u6563\u653f\u7b56\uff0c\u4eba\u4e0e\u4eba\u4e4b\u95f4\u76f8\u4e92\u4f5c\u7528\u7684\u7ed3\u6784\u53ef\u80fd\u4f1a\u968f\u7740\u65f6\u95f4\u5185\u751f\u53d8\u5316\u3002\u6211\u901a\u8fc7\u6a21\u62df\u7814\u7a76\u4e86\u5171\u540c\u8fdb\u5316\u8fc7\u7a0b\u7684\u52a8\u6001\u7279\u6027\uff0c\u52a8\u6001\u5730\u5c06\u75be\u75c5\u6269\u6563\u548c\u7f51\u7edc\u7279\u6027\u8054\u7cfb\u8d77\u6765\u3002\u7ed3\u679c\u8868\u660e\uff0c\u4e3a\u4e86\u9884\u6d4b\u7f51\u7edc\u5316\u4eba\u7fa4\u4e2d\u7684\u6d41\u884c\u75c5\u73b0\u8c61\u662f\u5982\u4f55\u6f14\u5316\u7684\uff0c\u4ec5\u4ec5\u5173\u6ce8\u521d\u59cb\u76f8\u4e92\u4f5c\u7528\u7ed3\u6784\u7684\u6027\u8d28\u662f\u4e0d\u591f\u7684\u3002\u4e8b\u5b9e\u4e0a\uff0c\u7f51\u7edc\u7ed3\u6784\u548c\u5206\u5ba4\u5171\u4eab\u7684\u5171\u540c\u6f14\u5316\u5f3a\u70c8\u5730\u5851\u9020\u4e86\u4f20\u67d3\u75c5\u6269\u6563\u7684\u8fc7\u7a0b\uff0c\u7279\u522b\u662f\u5c31\u5176\u901f\u5ea6\u800c\u8a00\u3002\u6b64\u5916\uff0c\u6211\u8fd8\u6307\u51fa\uff0c\u7a7a\u95f4\u8ddd\u79bb\u653f\u7b56\u7684\u65f6\u673a\u548c\u7279\u70b9\u53ef\u80fd\u4f1a\u663e\u8457\u5f71\u54cd\u5176\u6709\u6548\u6027\u3002<\/span><\/section>\n

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

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    \u590d\u6742\u7cfb\u7edf\u524d\u6cbf\u6587\u732e\u4ea4\u6d41\u7fa4<\/strong><\/span><\/p>\n

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


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    \u5982\u679c\u4f60\u7ecf\u5e38\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u548c\u8de8\u5b66\u79d1\u7814\u7a76\u8fdb\u5c55\uff0c\u662f\u7f51\u7edc\u8bba\u6587\u901f\u9012\u680f\u76ee\u7684\u957f\u671f\u8bfb\u8005\uff0c<\/span>\u6b22\u8fce\u626b\u63cf\u96c6\u667a\u5c0f\u52a9\u624b\uff0c\u5411\u6211\u4eec\u53cd\u9988\u4f60\u7684\u9700\u6c42<\/strong>\u3002\u6b22\u8fce\u63d0\u51fa\u5b9d\u8d35\u610f\u89c1\uff0c\u6211\u4eec\u4e00\u8d77\u6765\u63a2\u7d22\u8ffd\u8e2a\u524d\u6cbf\u8fdb\u5c55\u7684\u66f4\u597d\u65b9\u5f0f\u3002<\/span><\/p>\n


    <\/p>\n

    \u53c2\u4e0e\u8bba\u6587\u901f\u9012\u7528\u6237\u8c03\u7814\u540e\uff0c\u6211\u4eec\u5c06\u9080\u8bf7\u4f60\u52a0\u5165\u96c6\u667a\u7684\u79d1\u7814\u6587\u732e\u4ea4\u6d41\u7fa4<\/strong>\u3002<\/span><\/p>\n


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

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


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    \u4ece\u795e\u7ecf\u7f51\u7edc\u529f\u80fd\u9884\u6d4b\u7ed3\u6784\u7684\u51e0\u4f55\u6846\u67b6 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901217\u7bc7<\/strong><\/span><\/a>
    <\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    \u6d41\u7f51\u7edc\u4e2d\u6062\u590d\u4e0e\u5931\u6548\u6269\u6563\u7684\u62d3\u6251\u7406\u8bba | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901212\u7bc7<\/strong><\/a>
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    \u57ce\u5e02\u5f62\u6001\u548c\u589e\u957f\u7684\u5206\u5f62\u5efa\u6a21\u4e0e\u7a7a\u95f4\u5206\u6790\uff1a\u4ee5\u6df1\u5733\u5e02\u4e3a\u4f8b | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901214\u7bc7<\/strong><\/a>
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    \u57fa\u4e8e\u76ee\u6807\u5206\u7c7b\u548cTRIZ\u7684\u81ea\u7136\u542f\u53d1\u5f0f\u7b97\u6cd5 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901214\u7bc7<\/strong><\/a>
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    \u8861\u91cf\u9ad8\u901f\u94c1\u8def\u5bf9\u4e2d\u56fd\u57ce\u5e02\u4e92\u52a8\u7684\u52a8\u6001\u5f71\u54cd | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901213\u7bc7<\/strong><\/a>
    <\/p>\n

    \u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\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<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h2>\n

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

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    <\/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


    <\/p>\n

    \ud83d\udc47\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u4e86\u89e3\u66f4\u591a\u6700\u65b0arxiv\u8bba\u6587<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h2><\/div>\n","protected":false},"excerpt":{"rendered":"

    \u96c6\u667a\u6591\u56fe\u6700\u65b0\u8bba\u6587\u680f\u76ee\uff0c\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u6bcf\u5929\u5373\u65f6\u66f4\u65b0\u76f8\u5173\u9876\u520a\u8bba\u6587\uff0c\u548c\u6700\u65b0ar Xiv\u9884\u5370\u672c\u8bba\u6587\u3002 \u672c\u6587\u662f\u5bf9\u8fd1\u671farXiv\u8bba\u6587\u7684\u6c47\u603b\u7f16\u8bd1\uff08by \u5f69\u4e91\u5c0f\u8bd1\uff09\u3002\u66f4\u591a\u6700\u65b0\u8bba\u6587\uff0c\u8bf7\u626b\u4e8c\u7ef4\u7801\u83b7\u53d6\u3002 \u6838\u5fc3\u901f\u9012 \u5b66\u4e60\u65b0\u6280\u80fd\u662f\u5426\u6709\u56de\u62a5\uff1f\u63ed\u793a\u4ea4\u53c9\u6280\u80fd\u7684\u7ecf\u6d4e\u5229\u76ca\uff1b \u5177\u6709\u9884\u6d4b\u5956…<\/p>\n","protected":false},"author":1,"featured_media":21397,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/21398"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=21398"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/21398\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/21397"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21398"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21398"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21398"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=21398"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}