{"id":21351,"date":"2020-10-22T19:09:36","date_gmt":"2020-10-22T11:09:36","guid":{"rendered":"https:\/\/swarma.org\/?p=21351"},"modified":"2020-10-22T19:09:36","modified_gmt":"2020-10-22T11:09:36","slug":"%e4%bb%8e%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e5%8a%9f%e8%83%bd%e9%a2%84%e6%b5%8b%e7%bb%93%e6%9e%84%e7%9a%84%e5%87%a0%e4%bd%95%e6%a1%86%e6%9e%b6-%e7%bd%91%e7%bb%9c%e7%a7%91%e5%ad%a6%e8%ae%ba","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=21351","title":{"rendered":"\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"},"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\u65b0arXiv\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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\u6838\u5fc3\u901f\u9012<\/span><\/section>\n


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    \u4ece\u795e\u7ecf\u7f51\u7edc\u529f\u80fd\u9884\u6d4b\u7ed3\u6784\u7684\u51e0\u4f55\u6846\u67b6\uff1b<\/span><\/h2>\n<\/li>\n
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    \u89c2\u5bdf\u4e0e\u5e2e\u52a9: \u793e\u4f1a\u8ba4\u77e5\u4e0e\u4eba\u5de5\u667a\u80fd\u534f\u4f5c\u7684\u6311\u6218\uff1b<\/span>
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    \u667a\u80fd\u5236\u9020\u7684\u65e0\u7ebf\u63a7\u5236: \u6700\u65b0\u65b9\u6cd5\u548c\u5f00\u653e\u6311\u6218\uff1b<\/span><\/h2>\n<\/li>\n
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    \u57fa\u4e8e\u4e3b\u4f53\u7684\u6a21\u62df\u6a21\u578b\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u8bc4\u4f30\u548c\u9884\u6d4b\u65b0\u51a0\u80ba\u708e\u5468\u8fb9\u4ea4\u901a\u8d8b\u52bf\uff1b<\/span><\/h2>\n<\/li>\n
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    \u9c81\u68d2\u5f02\u6b65\u4e0e\u7f51\u7edc\u65e0\u5173\u7684\u534f\u4f5c\u5b66\u4e60\uff1b<\/span><\/h2>\n<\/li>\n
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    \u56e0\u679c\u7f51\u7edc\u52a8\u673a: A\/B \u68c0\u9a8c\u4e2d\u5f02\u8d28\u6ea2\u51fa\u6548\u5e94\u7684\u8bc6\u522b\uff1b<\/span><\/h2>\n<\/li>\n
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    \u6539\u8fdb\u7684\u4fe1\u7528\u98ce\u9669\u9884\u6d4b\u7684\u591a\u5c42\u7f51\u7edc\u5206\u6790\uff1b<\/span><\/h2>\n<\/li>\n
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    \u68c0\u67e5: \u4e2d\u56fd\u65b0\u51a0\u75c5\u6bd2\u75be\u75c5\u5047\u65b0\u95fb\u6570\u636e\u96c6\uff1b<\/span><\/h2>\n<\/li>\n
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    \u5728\u73b0\u5b9e\u4e16\u754c\u7535\u7f51\u7684\u957f\u671f\u5386\u53f2\u6570\u636e\u4e2d\u5bfb\u627e\u5c0f\u4e16\u754c\u548c\u65e0\u6807\u5ea6\u884c\u4e3a\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u56fe\u4e0a\u8d85\u5feb\u901f\u968f\u673a\u6e38\u52a8\u7684\u968f\u673a\u591a\u8df3\u6a21\u578b\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u6d82\u9e26\u7684\u7a7a\u95f4\u5206\u5e03: \u4e00\u79cd\u590d\u6742\u7f51\u7edc\u65b9\u6cd5\uff1b<\/span><\/h2>\n<\/li>\n<\/ul>\n


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    <\/p>\n

    \u4ece\u795e\u7ecf\u7f51\u7edc\u529f\u80fd\u9884\u6d4b<\/strong><\/span><\/p>\n

    \u7ed3\u6784\u7684\u51e0\u4f55\u6846\u67b6<\/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

    A geometric framework to predict structure from function in neural networks<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=8849fac6-1367-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Tirthabir Biswas,James E. Fitzgerald<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u751f\u7269\u548c\u4eba\u5de5\u7f51\u7edc\u4e2d\u7684\u795e\u7ecf\u8ba1\u7b97\u4f9d\u8d56\u4e8e\u975e\u7ebf\u6027\u7a81\u89e6\u6574\u5408\u3002\u795e\u7ecf\u5143\u4e4b\u95f4\u7a81\u89e6\u6743\u91cd\u7684\u7ed3\u6784\u8fde\u63a5\u77e9\u9635\u662f\u6574\u4e2a\u7f51\u7edc\u529f\u80fd\u7684\u5173\u952e\u51b3\u5b9a\u56e0\u7d20\u3002\u7136\u800c\uff0c\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\u548c\u529f\u80fd\u4e4b\u95f4\u7684\u5b9a\u91cf\u8054\u7cfb\u662f\u590d\u6742\u800c\u5fae\u5999\u7684\u3002\u4f8b\u5982\uff0c\u8bb8\u591a\u7f51\u7edc\u53ef\u4ee5\u4ea7\u751f\u76f8\u4f3c\u7684\u529f\u80fd\u54cd\u5e94\uff0c\u540c\u4e00\u4e2a\u7f51\u7edc\u53ef\u4ee5\u6839\u636e\u73af\u5883\u7684\u4e0d\u540c\u800c\u53d1\u6325\u4e0d\u540c\u7684\u529f\u80fd\u3002\u662f\u5426\u9700\u8981\u67d0\u4e9b\u6a21\u5f0f\u7684\u7a81\u89e6\u8fde\u63a5\u6765\u751f\u6210\u7279\u5b9a\u7684\u7f51\u7edc\u7ea7\u8ba1\u7b97\uff0c\u8fd9\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u8fd8\u662f\u672a\u77e5\u6570\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u51e0\u4f55\u6846\u67b6\uff0c\u4ee5\u786e\u5b9a\u6240\u9700\u7684\u7a81\u89e6\u8fde\u63a5\u7a33\u5b9a\u72b6\u6001\u7684\u53cd\u5e94\u7f51\u7edc\u7684\u7ea0\u6b63\u7ebf\u6027\u795e\u7ecf\u5143\u3002\u5047\u8bbe\u7279\u5b9a\u54cd\u5e94\u6a21\u5f0f\u7684\u6570\u91cf\u4e0d\u8d85\u8fc7\u8f93\u5165\u7a81\u89e6\u7684\u6570\u91cf\uff0c\u6211\u4eec\u5206\u6790\u8ba1\u7b97\u6240\u6709\u80fd\u591f\u4ece\u7f51\u7edc\u8f93\u5165\u4ea7\u751f\u7279\u5b9a\u54cd\u5e94\u7684\u524d\u9988\u548c\u5faa\u73af\u8fde\u63a5\u77e9\u9635\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528\u8fd9\u4e2a\u89e3\u6790\u89d2\u8272\u5851\u9020\u6765\u4e25\u683c\u5206\u6790\u89e3\u7a7a\u95f4\u51e0\u4f55\u5f62\u72b6\uff0c\u5e76\u63a8\u5bfc\u51fa\u786e\u5b9a\u6027\u6761\u4ef6\uff0c\u4fdd\u8bc1\u795e\u7ecf\u5143\u4e4b\u95f4\u6709\u4e00\u4e2a\u975e\u96f6\u7a81\u89e6\u3002\u524d\u9988\u7f51\u7edc\u548c\u9012\u5f52\u7f51\u7edc\u7684\u6570\u503c\u4eff\u771f\u9a8c\u8bc1\u4e86\u6211\u4eec\u7684\u5206\u6790\u7ed3\u679c\u3002\u6211\u4eec\u7684\u7406\u8bba\u6846\u67b6\u53ef\u4ee5\u5e94\u7528\u4e8e\u795e\u7ecf\u6d3b\u52a8\u7684\u6570\u636e\uff0c\u4f7f\u89e3\u5256\u9884\u6d4b\uff0c\u9075\u5faa\u4e00\u822c\u7684\u6a21\u578b\u67b6\u6784\u3002\u56e0\u6b64\uff0c\u5b83\u63d0\u4f9b\u4e86\u65b0\u7684\u673a\u4f1a\uff0c\u8bc6\u522b\u4ec0\u4e48\u6837\u7684\u6a21\u578b\u7279\u5f81\u9700\u8981\u51c6\u786e\u5730\u8054\u7cfb\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u6784\u548c\u529f\u80fd\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
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    \u89c2\u5bdf\u4e0e\u5e2e\u52a9: <\/strong><\/span><\/p>\n

    \u793e\u4f1a\u8ba4\u77e5\u4e0e\u4eba\u5de5\u667a\u80fd\u534f\u4f5c\u7684\u6311\u6218<\/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

    Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=cdf0d6b8-136b-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Xavier Puig,Tianmin Shu,Shuang Li,Zilin Wang,Joshua B. Tenenbaum,Sanja Fidler,Antonio Torralba<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86 Watch-And-Help (WAH) \uff0c\u4e00\u4e2a\u5728\u4ee3\u7406\u4e2d\u6d4b\u8bd5\u793e\u4f1a\u667a\u80fd\u7684\u6311\u6218\u3002\u5728 WAH\uff0c\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\u9700\u8981\u5e2e\u52a9\u4e00\u4e2a\u7c7b\u4f3c\u4eba\u7c7b\u7684\u4ee3\u7406\u6709\u6548\u5730\u6267\u884c\u4e00\u4e2a\u590d\u6742\u7684\u5bb6\u5ead\u4efb\u52a1\u3002\u4e3a\u4e86\u83b7\u5f97\u6210\u529f\uff0c\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\u9700\u8981: i)\u901a\u8fc7\u89c2\u5bdf\u7c7b\u4eba\u4ee3\u7406\u6267\u884c\u76f8\u540c\u4efb\u52a1\u7684\u5355\u4e00\u6f14\u793a\u6765\u7406\u89e3\u4efb\u52a1\u7684\u6f5c\u5728\u76ee\u6807(\u793e\u4f1a\u611f\u77e5) \uff0cii)\u4e0e\u7c7b\u4eba\u4ee3\u7406\u534f\u8c03\uff0c\u4ee5\u4fbf\u5728\u4e00\u4e2a\u770b\u4e0d\u89c1\u7684\u73af\u5883\u4e2d\u5c3d\u5feb\u89e3\u51b3\u4efb\u52a1(\u4eba\u5de5\u667a\u80fd\u534f\u4f5c)\u3002\u9488\u5bf9\u8fd9\u4e00\u6311\u6218\uff0c\u6211\u4eec\u6784\u5efa\u4e86 VirtualHome-Social\uff0c\u4e00\u4e2a\u591a\u4ee3\u7406\u5bb6\u5ead\u73af\u5883\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e00\u4e2a\u57fa\u51c6\uff0c\u5305\u62ec\u8ba1\u5212\u548c\u57fa\u4e8e\u5b66\u4e60\u7684\u57fa\u7ebf\u3002\u6211\u4eec\u4f7f\u7528\u5ba2\u89c2\u7684\u5ea6\u91cf\u548c\u4e3b\u89c2\u7684\u7528\u6237\u8bc4\u4ef7\u6765\u8bc4\u4f30\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\u7684\u6027\u80fd\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u6240\u63d0\u51fa\u7684\u6311\u6218\u548c\u865a\u62df\u73af\u5883\u80fd\u591f\u5728\u89c4\u6a21\u4e0a\u5bf9\u673a\u5668\u793e\u4f1a\u667a\u80fd\u7684\u91cd\u8981\u65b9\u9762\u8fdb\u884c\u7cfb\u7edf\u7684\u8bc4\u4ef7.<\/span><\/p>\n


    <\/span><\/h2>\n
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    \u667a\u80fd\u5236\u9020\u7684\u65e0\u7ebf\u63a7\u5236: <\/strong><\/span><\/p>\n

    \u6700\u65b0\u65b9\u6cd5\u548c\u5f00\u653e\u6311\u6218<\/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

    Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=cbe08904-136b-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Dominik Baumann,Fabian Mager,Ulf Wetzker,Lothar Thiele,Marco Zimmerling,Sebastian Trimpe<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u667a\u80fd\u5236\u9020\u65e8\u5728\u901a\u8fc7\u4f7f\u6750\u6599\u6d41\u7a0b\u548c\u5236\u9020\u8fc7\u7a0b\u66f4\u52a0\u7075\u6d3b\u3001\u901a\u7528\u548c\u53ef\u6269\u5c55\uff0c\u514b\u670d\u5f53\u4eca\u521a\u6027\u88c5\u914d\u7ebf\u7684\u5c40\u9650\u6027\u3002\u4e3b\u8981\u7684\u7ecf\u6d4e\u9a71\u52a8\u529b\u662f\u66f4\u9ad8\u7684\u8d44\u6e90\u548c\u6210\u672c\u6548\u7387\uff0c\u56e0\u4e3a\u5236\u9020\u5546\u53ef\u4ee5\u66f4\u5feb\u5730\u9002\u5e94\u4e0d\u65ad\u53d8\u5316\u7684\u5e02\u573a\u9700\u6c42\uff0c\u5e76\u4e14\u8fd8\u53ef\u4ee5\u5ef6\u957f\u5176\u751f\u4ea7\u5730\u70b9\u7684\u4f7f\u7528\u5bff\u547d\u3002\u79fb\u52a8\u673a\u5668\u4eba\u3001\u8fdc\u7a0b\u4f20\u611f\u5668\u548c\u4eba\u7c7b\u64cd\u4f5c\u5458\u4e4b\u95f4\u5feb\u901f\u3001\u53ef\u9760\u5730\u5173\u95ed\u53cd\u9988\u56de\u8def\u7684\u80fd\u529b\u662f\u667a\u80fd\u5236\u9020\u7684\u5173\u952e\u63a8\u52a8\u529b\u3002\u56e0\u6b64\uff0c\u672c\u6587\u5bf9\u65e0\u7ebf\u7f51\u7edc\u7684\u63a7\u5236\u4e0e\u534f\u8c03\u63d0\u4f9b\u4e86\u4e00\u4e2a\u65b0\u7684\u89c6\u89d2\u3002\u57fa\u4e8e\u5bf9\u73b0\u5b9e\u4e16\u754c\u7528\u4f8b\u7684\u5206\u6790\uff0c\u6211\u4eec\u786e\u5b9a\u4e86\u9700\u8981\u89e3\u51b3\u7684\u4e3b\u8981\u6280\u672f\u6311\u6218\uff0c\u4ee5\u5f25\u5408\u5f53\u524d\u5de5\u4e1a\u7684\u6700\u65b0\u72b6\u6001\u4e0e\u667a\u80fd\u5236\u9020\u7684\u613f\u666f\u4e4b\u95f4\u7684\u5de8\u5927\u5dee\u8ddd\u3002\u6211\u4eec\u8ba8\u8bba\u4e86\u6587\u732e\u4e2d\u73b0\u6709\u7684\u65e0\u7ebf\u63a7\u5236\u89e3\u51b3\u65b9\u6848\u5728\u591a\u5927\u7a0b\u5ea6\u4e0a\u89e3\u51b3\u4e86\u8fd9\u4e9b\u6311\u6218\uff0c\u5305\u62ec\u6211\u4eec\u81ea\u5df1\u5bf9\u63a7\u5236\u548c\u65e0\u7ebf\u901a\u4fe1\u7d27\u5bc6\u96c6\u6210\u7684\u65b9\u6cd5\u3002\u9664\u4e86\u95ed\u73af\u7a33\u5b9a\u6027\u7684\u7406\u8bba\u5206\u6790\uff0c\u5728\u7f51\u7edc\u7269\u7406\u5b9e\u9a8c\u5e73\u53f0\u4e0a\u7684\u5b9e\u9645\u5b9e\u9a8c\u8868\u660e\uff0c\u6211\u4eec\u7684\u65b9\u6cd5\u652f\u6301\u76f8\u5173\u7684\u667a\u80fd\u5236\u9020\u573a\u666f\u3002\u6587\u7ae0\u6700\u540e\u8ba8\u8bba\u4e86\u5f00\u653e\u7684\u6311\u6218\u548c\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\u3002<\/span><\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8e\u4e3b\u4f53\u7684\u6a21\u62df\u6a21\u578b<\/strong><\/span><\/p>\n

    \u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u8bc4\u4f30<\/strong><\/span><\/p>\n

    \u548c\u9884\u6d4b\u65b0\u51a0\u80ba\u708e\u5468\u8fb9\u4ea4\u901a\u8d8b\u52bf<\/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

    Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=65bd0922-136b-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Ding Wang,Fan Zuo,Jingqin Gao,Yueshuai He,Zilin Bian,Suzana Duran Bernardes,Chaekuk Na,Jingxing Wang,John Petinos,Kaan Ozbay,Joseph Y. J. Chow,Shri Iyer,Hani Nassif,Xuegang Jeff Ban<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u6d41\u611f\u5927\u6d41\u884c\u5df2\u7ecf\u5f71\u54cd\u4e86\u65c5\u6e38\u884c\u4e3a\u548c\u4ea4\u901a\u7cfb\u7edf\u7684\u8fd0\u4f5c\uff0c\u5404\u4e2a\u57ce\u5e02\u6b63\u5728\u52aa\u529b\u89e3\u51b3\u4ec0\u4e48\u6837\u7684\u653f\u7b56\u624d\u80fd\u6709\u6548\u5730\u5b9e\u73b0\u7531\u793e\u4f1a\u8ddd\u79bb\u5851\u9020\u7684\u5206\u9636\u6bb5\u91cd\u65b0\u5f00\u653e\u3002\u8fd9\u4e2a\u7248\u672c\u7684\u767d\u76ae\u4e66\u66f4\u65b0\u4e86\u65c5\u6e38\u8d8b\u52bf\uff0c\u5e76\u5f3a\u8c03\u4e86\u4e00\u4e2a\u57fa\u4e8e\u4ee3\u7406\u7684\u6a21\u62df\u6a21\u578b\u7684\u7ed3\u679c\uff0c\u4ee5\u9884\u6d4b\u5206\u9636\u6bb5\u91cd\u65b0\u5f00\u653e\u7b56\u7565\u7684\u5f71\u54cd\u3002\u672c\u6587\u8fd8\u4ecb\u7ecd\u4e86\u4e00\u79cd\u5b9e\u65f6\u89c6\u9891\u5904\u7406\u65b9\u6cd5\uff0c\u901a\u8fc7\u6444\u50cf\u5934\u6d4b\u91cf\u57ce\u5e02\u8857\u9053\u4e0a\u7684\u793e\u4f1a\u8ddd\u79bb\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u56e0\u679c\u51e0\u4f55\u5b66<\/strong><\/span><\/p>\n

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

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

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

    Causal Geometry<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=78438d32-1366-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Pavel Chvykov,Erik Hoel<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u4fe1\u606f\u51e0\u4f55\u901a\u8fc7\u91cf\u5316\u6a21\u578b\u53c2\u6570\u5bf9\u9884\u6d4b\u6548\u679c\u7684\u5f71\u54cd\uff0c\u63d0\u4f9b\u4e86\u4e00\u79cd\u5f62\u5f0f\u5316\u7814\u7a76\u79d1\u5b66\u6a21\u578b\u6709\u6548\u6027\u7684\u65b9\u6cd5\u3002\u7136\u800c\uff0c\u5c3d\u7ba1\u56e0\u679c\u6a21\u578b\u662f\u79d1\u5b66\u548c\u89e3\u91ca\u7684\u57fa\u672c\u7ec4\u6210\u90e8\u5206\uff0c\u4f46\u662f\u5728\u8fd9\u4e2a\u6846\u67b6\u4e2d\u5bf9\u56e0\u679c\u5173\u7cfb\u7684\u6b63\u5f0f\u8c03\u67e5\u5374\u5f88\u5c11\u3002\u8fd9\u91cc\u6211\u4eec\u4ecb\u7ecd\u4e86\u56e0\u679c\u51e0\u4f55\uff0c\u5b83\u4e0d\u4ec5\u5f62\u5f0f\u5316\u4e86\u7ed3\u679c\u662f\u5982\u4f55\u88ab\u53c2\u6570\u5f71\u54cd\u7684\uff0c\u800c\u4e14\u8fd8\u4ecb\u7ecd\u4e86\u6a21\u578b\u7684\u53c2\u6570\u662f\u5982\u4f55\u88ab\u5e72\u9884\u7684\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u5f15\u5165\u4e86\u201c\u6709\u6548\u4fe1\u606f\u201d\u7684\u51e0\u4f55\u5f62\u5f0f\u2014\u2014\u4e00\u79cd\u5df2\u77e5\u7684\u8861\u91cf\u56e0\u679c\u5173\u7cfb\u4fe1\u606f\u6027\u7684\u65b9\u6cd5\u3002\u6211\u4eec\u8bc1\u660e\u4e86\u5b83\u662f\u901a\u8fc7\u6548\u679c\u7a7a\u95f4\u548c\u5e72\u9884\u7a7a\u95f4\u7684\u5339\u914d\uff0c\u4ee5\u5b83\u4eec\u7684\u51e0\u4f55\u4e00\u81f4\u6027\u7684\u5f62\u5f0f\u7ed9\u51fa\u7684\u3002\u56e0\u6b64\uff0c\u7ed9\u5b9a\u4e00\u4e2a\u56fa\u5b9a\u7684\u5e72\u9884\u80fd\u529b\uff0c\u4e00\u4e2a\u6709\u6548\u7684\u56e0\u679c\u6a21\u578b\u662f\u4e00\u4e2a\u5339\u914d\u8fd9\u4e9b\u5e72\u9884\u3002\u8fd9\u662f\u201c\u56e0\u679c\u51fa\u73b0\u201d\u7684\u7ed3\u679c\uff0c\u5373\u5b8f\u89c2\u7684\u56e0\u679c\u5173\u7cfb\u53ef\u80fd\u6bd4\u201c\u57fa\u672c\u7684\u201d\u5fae\u89c2\u5173\u7cfb\u643a\u5e26\u66f4\u591a\u7684\u4fe1\u606f\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u8ba4\u4e3a\uff0c\u7c97\u7c92\u5ea6\u6a21\u578b\u53ef\u80fd\u6bd4\u5fae\u89c2\u6a21\u578b\u63d0\u4f9b\u66f4\u591a\u7684\u4fe1\u606f\uff0c\u5c24\u5176\u662f\u5f53\u5b83\u66f4\u597d\u5730\u5339\u914d\u53ef\u83b7\u5f97\u7684\u5e72\u9884\u89c4\u6a21\u65f6\u2014\u2014\u6b63\u5982\u6211\u4eec\u5728\u73a9\u5177\u5b9e\u4f8b\u4e2d\u6240\u8bf4\u660e\u7684\u90a3\u6837\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
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    <\/p>\n

    \u4f7f\u7528\u538b\u7f29\u590d\u6742\u5ea6\u5ea6\u91cf\u7684\u56e0\u679c\u53d1\u73b0<\/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

    Causal Discovery using Compression-Complexity Measures<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=76d69e1c-1366-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Pranay SY,Nithin Nagaraj<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u56e0\u679c\u63a8\u7406\u662f\u6240\u6709\u79d1\u5b66\u9886\u57df\u4e2d\u6700\u57fa\u672c\u7684\u95ee\u9898\u4e4b\u4e00\u3002\u6211\u4eec\u8ba8\u8bba\u4e86\u4ece\u4e24\u4e2a\u89c2\u5bdf\u5230\u7684\u79bb\u6563\u7b26\u53f7\u5e8f\u5217 x \u548c y \u63a8\u65ad\u56e0\u679c\u65b9\u5411\u7684\u95ee\u9898\u3002\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u65e0\u635f\u538b\u7f29\u5668\u7684\u5e8f\u5217\u5bf9\u4e0a\u4e0b\u6587\u65e0\u5173\u6587\u6cd5\u63a8\u5bfc\u6846\u67b6\uff0c\u5e76\u5bf9\u4ece\u4e00\u4e2a\u5e8f\u5217\u63a8\u5bfc\u51fa\u7684\u6587\u6cd5\u538b\u7f29\u53e6\u4e00\u4e2a\u5e8f\u5217\u7684\u7a0b\u5ea6\u8fdb\u884c\u4e86\u91cf\u5316\u3002\u5982\u679c\u4ece x \u63a8\u5bfc\u51fa\u7684\u8bed\u6cd5\u6bd4\u4ece\u5176\u4ed6\u65b9\u5411\u63a8\u5bfc\u51fa\u7684\u8bed\u6cd5\u80fd\u66f4\u597d\u5730\u538b\u7f29 y\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u63a8\u65ad x \u5bfc\u81f4 y\u3002\u4e3a\u4e86\u5c06\u8fd9\u4e2a\u6982\u5ff5\u4ed8\u8bf8\u5b9e\u8df5\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e09\u4e2a\u6a21\u578b\uff0c\u5b83\u4eec\u4f7f\u7528\u538b\u7f29\u590d\u6742\u6027\u5ea6\u91cf(CCMs)-Lempel-Ziv (LZ)\u590d\u6742\u6027\u548c\u52aa\u529b\u538b\u7f29(ETC)\u6765\u63a8\u65ad CFGs \u5e76\u53d1\u73b0\u56e0\u679c\u65b9\u5411\u3002\u6211\u4eec\u8bc4\u4f30\u8fd9\u4e9b\u6a21\u578b\u7684\u5408\u6210\u548c\u73b0\u5b9e\u4e16\u754c\u7684\u57fa\u51c6\u548c\u7ecf\u9a8c\u89c2\u5bdf\u4e1a\u7ee9\u7ade\u4e89\u529b\u4e0e\u5f53\u524d\u56fd\u5bb6\u7684\u6700\u5148\u8fdb\u7684\u65b9\u6cd5\u3002\u6700\u540e\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u72ec\u7279\u7684\u5e94\u7528\u6a21\u578b\u7684\u56e0\u679c\u63a8\u65ad\u76f4\u63a5\u4ece\u57fa\u56e0\u7ec4\u5e8f\u5217\u5bf9\u5c5e\u4e8e SARS-CoV-2\u75c5\u6bd2\u3002\u5229\u7528\u5927\u91cf\u7684\u5e8f\u5217\uff0c\u6211\u4eec\u8868\u660e\u6211\u4eec\u7684\u6a21\u578b\u6355\u83b7\u5e8f\u5217\u5bf9\u4e4b\u95f4\u7684\u5b9a\u5411\u56e0\u679c\u4fe1\u606f\u4ea4\u6362\uff0c\u63d0\u4f9b\u4e86\u65b0\u7684\u673a\u4f1a\u89e3\u51b3\u5173\u952e\u95ee\u9898\uff0c\u5982\u63a5\u89e6\u8ffd\u8e2a\uff0c\u57fa\u5e8f\u53d1\u73b0\uff0c\u6bd2\u529b\u548c\u81f4\u75c5\u6027\u7684\u8fdb\u5316\u5728\u672a\u6765\u7684\u5e94\u7528\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5b66\u4e60\u548c\u9884\u6d4b\u884c\u4e3a\u7684\u65e9\u671f\u5f02\u5e38\u68c0\u6d4b<\/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

    Early Anomaly Detection by Learning and Forecasting Behavior<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=5e7575c4-1365-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Tong Zhao,Bo Ni,Wenhao Yu,Meng Jiang<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u56fe\u5f62\u5f02\u5e38\u68c0\u6d4b\u7cfb\u7edf\u65e8\u5728\u8bc6\u522b\u793e\u4ea4\u7f51\u7ad9\u548c\u7535\u5b50\u5546\u52a1\u5e73\u53f0\u4e0a\u7684\u53ef\u7591\u8d26\u6237\u6216\u884c\u4e3a\u3002\u53ca\u65e9\u53d1\u73b0\u5f02\u5e38\u7528\u6237\u5bf9\u51cf\u5c11\u7ecf\u6d4e\u635f\u5931\u81f3\u5173\u91cd\u8981\u3002\u5f53\u5927\u91cf\u7684\u89c2\u5bdf\u5230\u7684\u884c\u4e3a\u6570\u636e\u53ef\u7528\u65f6\uff0c\u73b0\u6709\u7684\u65b9\u6cd5\u53ef\u4ee5\u6709\u6548\u5730\u6267\u884c\uff0c\u5c3d\u7ba1\u53ef\u80fd\u4e3a\u65f6\u5df2\u665a\uff0c\u65e0\u6cd5\u907f\u514d\u8fd9\u79cd\u635f\u5931\u3002\u7136\u800c\uff0c\u5f53\u65e9\u671f\u89c2\u6d4b\u5230\u7684\u6570\u636e\u76f8\u5f53\u6709\u9650\u65f6\uff0c\u5b83\u4eec\u7684\u6027\u80fd\u5c31\u4f1a\u53d8\u5f97\u4e0d\u4ee4\u4eba\u6ee1\u610f\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86 Eland\uff0c\u4e00\u4e2a\u65b0\u9896\u7684\u6846\u67b6\uff0c\u5b83\u4f7f\u7528\u884c\u4e3a\u6570\u636e\u589e\u5f3a\u65e9\u671f\u7684\u5f02\u5e38\u68c0\u6d4b\u3002\u5b83\u6709\u4e00\u4e2a\u57fa\u4e8e seq2seq \u7684\u884c\u4e3a\u9884\u6d4b\u5668\uff0c\u53ef\u4ee5\u9884\u6d4b(i)\u7528\u6237\u662f\u5426\u4f1a\u91c7\u7528\u4e00\u4e2a\u65b0\u9879\u76ee\u6216\u8005\u4e00\u4e2a\u5df2\u7ecf\u88ab\u5386\u53f2\u91c7\u7528\u7684\u9879\u76ee\uff0c\u4ee5\u53ca(ii)\u54ea\u4e2a\u9879\u76ee\u4f1a\u88ab\u91c7\u7528\u3002\u4f0a\u5170\u5fb7\u5229\u7528\u4e86\u884c\u4e3a\u9884\u6d4b\u548c\u56fe\u5f62\u5f02\u5e38\u68c0\u6d4b\u4e4b\u95f4\u7684\u76f8\u4e92\u589e\u5f3a\u4f5c\u7528\u3002\u884c\u4e3a\u56fe\u901a\u8fc7\u9884\u6d4b\u7684\u884c\u4e3a\u5f97\u5230\u6269\u5c55\uff0c\u4f7f\u5f97\u57fa\u4e8e\u56fe\u7684\u5f02\u5e38\u68c0\u6d4b\u65b9\u6cd5\u53ef\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u6027\u80fd\uff0c\u5e76\u4e14\u68c0\u6d4b\u7ed3\u679c\u53cd\u8fc7\u6765\u652f\u6301\u884c\u4e3a\u9884\u6d4b\u5668\u3002\u5b9e\u9a8c\u8868\u660e\uff0cEland \u6539\u8fdb\u4e86\u5404\u79cd\u57fa\u4e8e\u56fe\u7684\u5f02\u5e38\u68c0\u6d4b\u65b9\u6cd5\u7684\u6027\u80fd\u3002\u968f\u7740 Eland \u7684\u589e\u5f3a\u65b9\u6cd5\u7684\u51fa\u73b0\uff0c\u5f02\u5e38\u68c0\u6d4b\u5728\u65e9\u671f\u9636\u6bb5\u7684\u8868\u73b0\u53ef\u4ee5\u4e0e\u975e\u589e\u5f3a\u65b9\u6cd5\u5728\u66f4\u5927\u7684\u89c2\u5bdf\u91cf\u4e0a\u76f8\u5ab2\u7f8e\u6216\u8005\u66f4\u597d\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u9c81\u68d2\u5f02\u6b65\u4e0e\u7f51\u7edc\u65e0\u5173\u7684\u534f\u4f5c\u5b66\u4e60<\/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

    Robust Asynchronous and Network-Independent Cooperative Learning<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=5d9bddfa-1365-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Eduardo Mojica-Nava,David Yanguas-Rojas,C\u00e9sar A. Uribe<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u8003\u8651\u4e86\u57fa\u4e8e\u5206\u5e03\u5f0f\u975e\u8d1d\u53f6\u65af\u5b66\u4e60\u7684\u5408\u4f5c\u5b66\u4e60\u6a21\u578b\uff0c\u5176\u4e2d\u4e00\u4e2a\u4ee3\u7406\u7f51\u7edc\u8bd5\u56fe\u5171\u540c\u540c\u610f\u4e00\u4e2a\u5047\u8bbe\uff0c\u8be5\u5047\u8bbe\u6700\u597d\u5730\u63cf\u8ff0\u4e86\u4e00\u7cfb\u5217\u5c40\u90e8\u53ef\u7528\u7684\u89c2\u5bdf\u7ed3\u679c\u3002\u57fa\u4e8e\u6700\u8fd1\u63d0\u51fa\u7684\u5f31\u901a\u4fe1\u7f51\u7edc\u6a21\u578b\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u9c81\u68d2\u7684\u534f\u4f5c\u5b66\u4e60\u89c4\u5219\uff0c\u8be5\u89c4\u5219\u5141\u8bb8\u5f02\u6b65\u901a\u4fe1\u3001\u6d88\u606f\u5ef6\u8fdf\u3001\u4e0d\u53ef\u9884\u77e5\u7684\u6d88\u606f\u4e22\u5931\u548c\u8282\u70b9\u95f4\u7684\u5b9a\u5411\u901a\u4fe1\u3002\u6211\u4eec\u8bc1\u660e\uff0c\u6211\u4eec\u63d0\u51fa\u7684\u5b66\u4e60\u52a8\u529b\u5b66\u4fdd\u8bc1\u4e86\u7f51\u7edc\u4e2d\u7684\u6240\u6709\u4ee3\u7406\u4eba\u5728\u9519\u8bef\u7684\u5047\u8bbe\u4e0a\u7684\u4fe1\u5ff5\u4f1a\u6709\u4e00\u4e2a\u6e10\u8fd1\u6307\u6570\u8870\u51cf\uff0c\u8fd9\u8868\u660e\u6240\u6709\u4ee3\u7406\u4eba\u7684\u4fe1\u5ff5\u5c06\u96c6\u4e2d\u5728\u6700\u4f18\u5047\u8bbe\u4e0a\u3002\u6570\u503c\u5b9e\u9a8c\u4e3a\u8bb8\u591a\u7f51\u7edc\u8bbe\u7f6e\u63d0\u4f9b\u4e86\u8bc1\u636e\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u56e0\u679c\u7f51\u7edc\u52a8\u673a:<\/strong><\/span><\/p>\n

    A\/B \u68c0\u9a8c\u4e2d\u5f02\u8d28\u6ea2\u51fa\u6548\u5e94\u7684\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

    Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A\/B Tests<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=5aef2ae4-1365-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Yuan Yuan,Kristen M. Altenburger,Farshad Kooti<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u968f\u673a\u5b9e\u9a8c\u6216\u201c A\/B\u201d\u6d4b\u8bd5\u4ecd\u7136\u662f\u8bc4\u4f30\u653f\u7b56\u5e72\u9884\u6216\u4ea7\u54c1\u53d8\u5316\u7684\u56e0\u679c\u6548\u5e94\u7684\u9ec4\u91d1\u6807\u51c6\u3002\u7136\u800c\uff0c\u5b9e\u9a8c\u8bbe\u7f6e\uff0c\u5982\u793e\u4f1a\u7f51\u7edc\uff0c\u5176\u4e2d\u7528\u6237\u4e92\u52a8\u548c\u5f71\u54cd\u5f7c\u6b64\uff0c\u8fdd\u53cd\u4e86\u4f20\u7edf\u7684\u5047\u8bbe\uff0c\u4e0d\u9700\u8981\u5e72\u9884\u53ef\u4fe1\u7684\u56e0\u679c\u63a8\u65ad\u3002\u73b0\u6709\u7684\u89e3\u51b3\u65b9\u6848\u5305\u62ec\u8ba1\u7b97\u7528\u6237\u7f51\u7edc\u4e2d\u88ab\u5904\u7406\u90bb\u5c45\u7684\u6bd4\u4f8b\u6216\u8ba1\u6570\u7b49\u3002\u7136\u800c\uff0c\u5728\u63cf\u8ff0\u7f51\u7edc\u5e72\u6270\u6761\u4ef6\u65f6\uff0c\u5f80\u5f80\u6709\u5927\u91cf\u7684\u7814\u7a76\u4eba\u5458\u7684\u81ea\u7531\u5ea6\uff0c\u800c\u4e14\u5927\u591a\u6570\u73b0\u6709\u7684\u65b9\u6cd5\u9664\u4e86\u7b80\u5355\u5730\u8ba1\u7b97\u90bb\u5c45\u7684\u6570\u76ee\u4e4b\u5916\uff0c\u5e76\u6ca1\u6709\u8003\u8651\u5c40\u90e8\u7f51\u7edc\u7ed3\u6784\u3002\u6355\u83b7\u5c40\u90e8\u7f51\u7edc\u7ed3\u6784\u662f\u91cd\u8981\u7684\uff0c\u56e0\u4e3a\u5b83\u53ef\u4ee5\u89e3\u91ca\u7406\u8bba\uff0c\u5982\u7ed3\u6784\u591a\u6837\u6027\u548c\u56de\u97f3\u5ba4\u3002\u6211\u4eec\u7684\u7814\u7a76\u63d0\u4f9b\u4e86\u4e00\u79cd\u65b9\u6cd5\uff0c\u901a\u8fc7\u4e3b\u9898\u6765\u89e3\u91ca\u7528\u6237\u793e\u4ea4\u7f51\u7edc\u4e2d\u7684\u5c40\u90e8\u7ed3\u6784\u4ee5\u53ca\u90bb\u5c45\u7684\u5206\u914d\u6761\u4ef6\u3002\u6211\u4eec\u63d0\u51fa\u4e00\u4e2a\u5206\u4e24\u90e8\u5206\u7684\u65b9\u6cd5\u3002\u6211\u4eec\u9996\u5148\u5f15\u5165\u5e76\u4f7f\u7528\u201c\u56e0\u679c\u7f51\u7edc\u6a21\u5f0f\u201d \uff0c\u5373\u63cf\u8ff0\u5c40\u90e8\u81ea\u6211\u7f51\u7edc\u4e2d\u5206\u914d\u6761\u4ef6\u7684\u7f51\u7edc\u6a21\u5f0f\uff0c\u7136\u540e\u63d0\u51fa\u4e00\u79cd\u57fa\u4e8e\u6811\u7684\u7b97\u6cd5\u6765\u8bc6\u522b\u4e0d\u540c\u7684\u7f51\u7edc\u5e72\u6270\u6761\u4ef6\u5e76\u4f30\u8ba1\u5b83\u4eec\u7684\u5e73\u5747\u6f5c\u5728\u7ed3\u679c\u3002\u6211\u4eec\u5728\u4e00\u4e2a\u5927\u89c4\u6a21\u7f51\u7edc\u548c\u4e00\u4e2a\u7efc\u5408\u7f51\u7edc\u8bbe\u7f6e\u7684\u73b0\u5b9e\u4e16\u754c\u5b9e\u9a8c\u4e2d\u6d4b\u8bd5\u4e86\u6211\u4eec\u7684\u65b9\u6cd5\uff0c\u8fd9\u7a81\u51fa\u4e86\u5982\u4f55\u8ba1\u7b97\u5c40\u90e8\u7ed3\u6784\u53ef\u4ee5\u66f4\u597d\u5730\u89e3\u91ca\u7f51\u7edc\u4e2d\u7684\u4e0d\u540c\u5e72\u6270\u6a21\u5f0f\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5173\u7cfb\u4e8b\u4ef6\u6a21\u578b\u4e0e\u53cd\u5411\u5f3a\u5316\u5b66\u4e60<\/strong><\/span><\/p>\n

    \u5e8f\u5217\u4e4b\u95f4\u7684\u8054\u7cfb<\/strong><\/span><\/p>\n

    \u7528\u4e8e\u63cf\u8ff0\u7fa4\u4f53\u76f8\u4e92\u4f5c\u7528\u5e8f\u5217<\/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

    Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction Sequences<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=570b0614-1365-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Congyu Wu<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u63a2\u8ba8\u4e86\u7f51\u7edc\u79d1\u5b66\u9886\u57df\u7684\u5173\u7cfb\u4e8b\u4ef6\u6a21\u578b(REM)\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u9006\u5f3a\u5316\u5b66\u4e60\u4e8b\u4ef6\u6a21\u578b(IRL)\u4e4b\u95f4\u4ee5\u524d\u672a\u88ab\u53d1\u73b0\u7684\u8054\u7cfb\uff0c\u4ee5\u53ca\u5b83\u4eec\u5728\u7fa4\u4f53\u73af\u5883\u4e2d\u63cf\u8ff0\u6709\u5411\u793e\u4f1a\u4ea4\u4e92\u4e8b\u4ef6\u5e8f\u5217\u7684\u80fd\u529b\u3002\u5feb\u901f\u773c\u52a8\u662f\u89e3\u51b3\u8fd9\u7c7b\u95ee\u9898\u7684\u5e38\u89c4\u65b9\u6cd5\uff0c\u800c IRL \u7684\u5e94\u7528\u57fa\u672c\u4e0a\u662f\u4e00\u6761\u672a\u5c1d\u8bd5\u8fc7\u7684\u9053\u8def\u3002\u6211\u4eec\u9996\u5148\u68c0\u67e5 REM \u548c IRL \u7684\u6570\u5b66\u90e8\u5206\uff0c\u627e\u51fa\u4e24\u79cd\u65b9\u6cd5\u4e4b\u95f4\u7684\u76f4\u63a5\u7c7b\u6bd4\uff0c\u4ee5\u53ca IRL \u65b9\u6cd5\u7684\u72ec\u7279\u7279\u5f81\u3002\u901a\u8fc7\u4e00\u4e2a\u5b9e\u9a8c\uff0c\u6211\u4eec\u8bc1\u660e\u4e86 IRL \u5728\u63cf\u8ff0\u7fa4\u4f53\u793e\u4f1a\u4e92\u52a8\u4e2d\u7684\u7279\u6b8a\u6548\u7528\u3002\u5728\u8fd9\u4e2a\u5b9e\u9a8c\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 IRL \u6765\u63a8\u65ad\u4e2a\u4f53\u7684\u884c\u4e3a\u504f\u597d\uff0c\u8fd9\u4e2a\u504f\u597d\u662f\u57fa\u4e8e\u4e00\u7cfb\u5217\u865a\u62df\u73b0\u5b9e\u6e38\u620f\u4e2d\u7684\u73a9\u5bb6\u76f8\u4e92\u4f5c\u7528\u548c\u5408\u4f5c\u6765\u5b8c\u6210\u4e00\u4e2a\u5171\u540c\u7684\u76ee\u6807\u3002\u6211\u4eec\u7684\u6bd4\u8f83\u548c<\/span>\u5b9e\u9a8c\u4e3a\u793e\u4f1a\u884c\u4e3a\u5206\u6790\u5f15\u5165\u4e86\u65b0\u7684\u89c6\u89d2\uff0c\u5e76\u5e2e\u52a9\u6fc0\u53d1\u4e86\u5728\u793e\u4f1a\u7f51\u7edc\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u4e4b\u95f4\u7684\u8054\u7cfb\u7684\u65b0\u7684\u7814\u7a76\u673a\u4f1a\u3002<\/span><\/p>\n


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

    \u6539\u8fdb\u7684\u4fe1\u7528\u98ce\u9669\u9884\u6d4b\u7684<\/strong><\/span><\/p>\n

    \u591a\u5c42\u7f51\u7edc\u5206\u6790<\/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

    Multilayer Network Analysis for Improved Credit Risk Prediction<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=52cef204-1365-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Mar\u00eda \u00d3skarsd\u00f3ttir,Cristi\u00e1n Bravo<\/span><\/p>\n


    <\/p>\n

    \u6458<\/span><\/strong>\u8981\uff1a<\/strong>\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u591a\u5c42\u6b21\u7684\u4fe1\u7528\u98ce\u9669\u8bc4\u4f30\u7f51\u7edc\u6a21\u578b\u3002\u6211\u4eec\u7684\u6a21\u578b\u8003\u8651\u5230\u4e86\u501f\u6b3e\u4eba\u4e4b\u95f4\u7684\u591a\u91cd\u8054\u7cfb(\u6bd4\u5982\u4ed6\u4eec\u7684\u5730\u7406\u4f4d\u7f6e\u548c\u7ecf\u6d4e\u6d3b\u52a8) \uff0c\u5e76\u4e14\u5141\u8bb8\u660e\u786e\u5730\u4e3a\u5173\u8054\u7684\u501f\u6b3e\u4eba\u4e4b\u95f4\u7684\u4e92\u52a8\u5efa\u6a21\u3002\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u4e2a\u591a\u5c42\u6b21\u7684\u4e2a\u6027\u5316 PageRank \u7b97\u6cd5\uff0c\u5141\u8bb8\u91cf\u5316\u7f51\u7edc\u4e2d\u4efb\u4f55\u501f\u6b3e\u4eba\u7684\u9ed8\u8ba4\u66dd\u5149\u5f3a\u5ea6\u3002\u6211\u4eec\u5728\u4e00\u4e2a\u519c\u4e1a\u8d37\u6b3e\u6846\u67b6\u4e2d\u5bf9\u6211\u4eec\u7684\u65b9\u6cd5\u8fdb\u884c\u4e86\u6d4b\u8bd5\uff0c\u5728\u8fd9\u4e2a\u6846\u67b6\u4e2d\uff0c\u957f\u671f\u4ee5\u6765\u4eba\u4eec\u4e00\u76f4\u6000\u7591\uff0c\u5f53\u501f\u6b3e\u4eba\u9762\u4e34\u540c\u6837\u7684\u7ed3\u6784\u6027\u98ce\u9669\u65f6\uff0c\u501f\u6b3e\u4eba\u4e4b\u95f4\u7684\u8fdd\u7ea6\u662f\u76f8\u4e92\u5173\u8054\u7684\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u53ea\u8981\u5c06\u4e2d\u5fc3\u6027\u591a\u5c42\u7f51\u7edc\u4fe1\u606f\u52a0\u5165\u5230\u6a21\u578b\u4e2d\uff0c\u5c31\u53ef\u4ee5\u83b7\u5f97\u663e\u8457\u7684\u9884\u6d4b\u6536\u76ca\uff0c\u800c\u8fd9\u79cd\u6536\u76ca\u53ef\u4ee5\u901a\u8fc7\u66f4\u590d\u6742\u7684\u4fe1\u606f(\u5982\u591a\u5c42 PageRank \u53d8\u91cf)\u5f97\u5230\u589e\u52a0\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5f53\u4e00\u4e2a\u4eba\u4e0e\u8bb8\u591a\u8fdd\u7ea6\u8005\u6709\u8054\u7cfb\u65f6\uff0c\u8fdd\u7ea6\u98ce\u9669\u6700\u9ad8\uff0c\u4f46\u8fd9\u79cd\u98ce\u9669\u56e0\u4e2a\u4eba\u6240\u5728\u793e\u533a\u7684\u89c4\u6a21\u800c\u5f97\u5230\u7f13\u89e3\uff0c\u8868\u660e\u8fdd\u7ea6\u98ce\u9669\u548c\u91d1\u878d\u7a33\u5b9a\u6027\u5728\u6574\u4e2a\u7f51\u7edc\u4e2d\u4f20\u64ad\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5927\u578b\u7f51\u7edc\u4e2d\u7684\u6269\u6563<\/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

    Diffusion in large networks<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=4f9d80b4-1365-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Michel Grabisch,Agnieszka Rusinowska,Xavier Venel<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u7814\u7a76\u5728\u4e00\u4e2a\u53ef\u6570\u65e0\u9650\u7684\u793e\u4f1a\u4e2d\uff0c\u4e2a\u4f53\u5728\u7f51\u7edc\u4e2d\u4e0e\u4ed6\u4eec\u7684\u90bb\u5c45\u76f8\u4e92\u4f5c\u7528\u7684\u6269\u6563\u73b0\u8c61\u3002\u5728\u7ed9\u5b9a\u7684\u65f6\u95f4\u5185\uff0c\u6bcf\u4e2a\u4e2a\u4f53\u8981\u4e48\u662f\u6d3b\u8dc3\u7684\uff0c\u8981\u4e48\u662f\u4e0d\u6d3b\u8dc3\u7684\u3002\u6269\u6563\u7531\u4e24\u4e2a\u7279\u5f81\u9a71\u52a8: \u7f51\u7edc\u7ed3\u6784\u548c\u4ee5\u805a\u96c6\u51fd\u6570\u8868\u793a\u7684\u6269\u6563\u673a\u5236\u3002\u6211\u4eec\u533a\u5206\u4e86\u4e24\u79cd\u6269\u6563\u673a\u5236(\u6982\u7387\u7684\u3001\u786e\u5b9a\u7684) \uff0c\u91cd\u70b9\u8ba8\u8bba\u4e86\u4e24\u79cd\u7c7b\u578b\u7684\u805a\u96c6\u51fd\u6570(\u4e25\u683c\u7684\u3001\u5e03\u5c14\u7684)\u3002\u5728\u4e25\u683c\u7684\u805a\u96c6\u529f\u80fd\u4e0b\uff0c\u793e\u4f1a\u4e0d\u4f1a\u53d1\u751f\u4e24\u6781\u5206\u5316\uff0c\u793e\u4f1a\u72b6\u6001\u4f1a\u671d\u7740\u65e0\u9650\u591a\u4e2a\u6d3b\u8dc3\u7684\u548c\u65e0\u9650\u591a\u4e2a\u4e0d\u6d3b\u8dc3\u7684\u56e0\u7d20\u7684\u6df7\u5408\u65b9\u5411\u53d1\u5c55\uff0c\u6216\u671d\u7740\u540c\u8d28\u5316\u7684\u793e\u4f1a\u53d1\u5c55\u3002\u5728\u5e03\u5c14\u805a\u5408\u51fd\u6570\u4e0b\uff0c\u6269\u6563\u8fc7\u7a0b\u5177\u6709\u786e\u5b9a\u6027\uff0cMorris (2000)\u7684\u4f20\u67d3\u6a21\u578b\u6210\u4e3a\u6211\u4eec\u6846\u67b6\u7684\u4e00\u4e2a\u7279\u4f8b\u3002\u4e24\u6781\u5206\u5316\u5c31\u4f1a\u53d1\u751f\u3002\u5728\u8fd9\u4e24\u79cd\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u7684\u52a8\u529b\u5b66\u4e5f\u5141\u8bb8\u5faa\u73af\u3002\u7f51\u7edc\u7ed3\u6784\u4e0e\u8fd9\u4e9b\u95ee\u9898\u65e0\u5173\uff0c\u4f46\u5bf9\u4e8e\u5efa\u7acb\u4e0d\u53ef\u7ea6\u6027\u81f3\u5173\u91cd\u8981\uff0c\u4ee3\u4ef7\u662f\u4e30\u5bcc\u6027\u5047\u8bbe: \u7f51\u7edc\u5e94\u8be5\u5305\u542b\u65e0\u9650\u591a\u4e2a\u590d\u6742\u7684\u6052\u661f\uff0c\u5e76\u4e14\u6709\u8db3\u591f\u7684\u7a7a\u95f4\u5b58\u50a8\u5c40\u90e8\u6784\u578b\u3002\u6211\u4eec\u7684\u6a21\u578b\u53ef\u4ee5\u901a\u8fc7\u4e00\u4e2a\u5c40\u90e8\u534f\u8c03\u535a\u5f08\u7ed9\u51fa\u4e00\u4e2a\u535a\u5f08\u8bba\u89e3\u91ca\uff0c\u5176\u4e2d\u6bcf\u4e2a\u53c2\u4e0e\u8005\u5728\u4e00\u4e2a\u968f\u673a\u90bb\u57df\u4e2d\u5e94\u7528\u4e00\u4e2a\u6700\u4f73\u5bf9\u7b56\u7b56\u7565\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u65f6\u95f4\u7f51\u7edc\u7684\u5f71\u54cd\u6700\u5927\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

    Influence maximization on temporal networks<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=d116919a-1364-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Sirag Erkol,Dario Mazzilli,Filippo Radicchi<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u8ba4\u4e3a\u5728\u65f6\u95f4\u7f51\u7edc\u4e0a\u64ad\u79cd\u7684\u6700\u4f73\u5316\u95ee\u9898\u662f\u4e00\u4e2a\u4f20\u64ad\u8fc7\u7a0b\uff0c\u4ee5\u4fbf\u6700\u5927\u5316\u9884\u671f\u7684\u7206\u53d1\u89c4\u6a21\u3002\u6211\u4eec\u5c06\u8fd9\u4e2a\u95ee\u9898\u63cf\u8ff0\u4e3a\u4e00\u4e2a\u4f20\u64ad\u8fc7\u7a0b\uff0c\u9075\u5faa\u6613\u611f\u67d3-\u611f\u67d3-\u6062\u590d\u6a21\u578b\u7684\u89c4\u5219\uff0c\u5176\u65f6\u95f4\u5c3a\u5ea6\u7b49\u540c\u4e8e\u63cf\u8ff0\u7f51\u7edc\u62d3\u6251\u6f14\u53d8\u7684\u6a21\u578b\u3002\u6211\u4eec\u57fa\u4e8e12\u4e2a\u771f\u5b9e\u4e16\u754c\u65f6\u95f4\u7f51\u7edc\u7684\u8bed\u6599\u5e93\u8fdb\u884c\u7cfb\u7edf\u5206\u6790\uff0c\u5e76\u91cf\u5316\u4f7f\u7528\u4e0d\u540c\u6c34\u5e73\u7684\u7f51\u7edc\u62d3\u6251\u548c\u52a8\u6001\u4fe1\u606f\u83b7\u5f97\u7684\u5f71\u54cd\u6700\u5927\u5316\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\u7684\u6027\u80fd\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u62e5\u6709\u5b8c\u7f8e\u7684\u7f51\u7edc\u62d3\u6251\u77e5\u8bc6\uff0c\u4f46\u5728\u9759\u6001\u548c\/\u6216\u805a\u5408\u7684\u5f62\u5f0f\u662f\u65e0\u52a9\u4e8e\u6709\u6548\u5730\u89e3\u51b3\u5f71\u54cd\u6700\u5927\u5316\u95ee\u9898\u3002\u76f8\u53cd\uff0c\u5bf9\u7f51\u7edc\u52a8\u529b\u5b66\u65e9\u671f\u9636\u6bb5\u7684\u77e5\u8bc6\uff0c\u5373\u4f7f\u662f\u7247\u9762\u7684\uff0c\u5bf9\u4e8e\u786e\u5b9a\u51c6\u6700\u4f18\u7684\u6709\u5f71\u54cd\u529b\u7684\u4f20\u64ad\u8005\u96c6\u4f3c\u4e4e\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u68c0\u67e5: <\/strong><\/span><\/p>\n

    \u4e2d\u56fd\u65b0\u51a0\u75c5\u6bd2\u75be\u75c5\u5047\u65b0\u95fb\u6570\u636e\u96c6<\/strong><\/span><\/p>\n

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

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

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

    CHECKED: Chinese COVID-19 Fake News Dataset<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=4af3a4d0-1365-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Chen Yang,Xinyi Zhou,Reza Zafarani<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u5f71\u54cd\u4e86\u6240\u6709\u4eba\u7684\u751f\u6d3b\u3002\u4e3a\u4e86\u4fdd\u6301\u793e\u4f1a\u8ddd\u79bb\u548c\u907f\u514d\u66dd\u5149\uff0c\u5de5\u4f5c\u548c\u751f\u6d3b\u9010\u6e10\u8f6c\u79fb\u5230\u4e86\u7f51\u4e0a\u3002\u5728\u8fd9\u79cd\u8d8b\u52bf\u4e0b\uff0c\u793e\u4ea4\u5a92\u4f53\u83b7\u53d62019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u65b0\u95fb\u7684\u4f7f\u7528\u91cf\u589e\u52a0\u4e86\u3002\u5509\uff0c2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u5fae\u535a\u4e0a\u7684\u9519\u8bef\u4fe1\u606f\u7ecf\u5e38\u5728\u793e\u4ea4\u5a92\u4f53\u4e0a\u4f20\u64ad\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u5f00\u53d1\u4e86 CHECKED\uff0c\u8fd9\u662f\u7b2c\u4e00\u4e2a\u5173\u4e8e2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u9519\u8bef\u4fe1\u606f\u7684\u4e2d\u6587\u6570\u636e\u96c6\u3002CHECKED \u63d0\u4f9b\u4e86\u53ef\u4fe1\u7684\u57fa\u7840\u771f\u7406\uff0c\u901a\u8fc7\u786e\u4fdd\u7279\u5b9a\u7684\u6765\u6e90\u88ab\u4f7f\u7528\u4ed4\u7ec6\u83b7\u5f97\u3002\u68c0\u67e5\u5305\u62ec\u4e0e2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u5fae\u535a\u76f8\u5173\u7684\u5fae\u535a\uff0c\u4f7f\u7528\u7279\u5b9a\u7684\u5173\u952e\u5b57\u5217\u8868\u6765\u8bc6\u522b\uff0c\u6db5\u76d6\u4e86\u4ece2019\u5e7412\u6708\u52302020\u5e748\u6708\u53d1\u5e03\u76842120\u4e2a\u5fae\u535a\u3002\u6bcf\u4e2a\u5fae\u535a\u6570\u636e\u96c6\u5305\u542b\u4e30\u5bcc\u7684\u591a\u5a92\u4f53\u4fe1\u606f\uff0c\u5305\u62ec\u5730\u9762\u771f\u76f8\u6807\u7b7e\uff0c\u6587\u672c\uff0c\u89c6\u89c9\uff0c\u54cd\u5e94\u548c\u793e\u4f1a\u7f51\u7edc\u4fe1\u606f\u3002\u6211\u4eec\u5e0c\u671b CHECKED \u80fd\u591f\u4fc3\u8fdb\u9488\u5bf9\u51a0\u72b6\u75c5\u6bd2\u9519\u8bef\u4fe1\u606f\u7684\u7814\u7a76\u3002\u8fd9\u4e2a\u6570\u636e\u96c6\u53ef\u4ee5\u5728 https:\/\/github.com\/cyang03\/checked \u6570\u636e\u4e2d\u5fc3\u83b7\u5f97\uff0c\u5e76\u6709\u4fdd\u62a4\u7528\u6237\u9690\u79c1\u7684\u63aa\u65bd\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5728\u73b0\u5b9e\u4e16\u754c\u7535\u7f51\u7684<\/strong><\/span><\/p>\n

    \u957f\u671f\u5386\u53f2\u6570\u636e\u4e2d<\/strong><\/span><\/p>\n

    \u5bfb\u627e\u5c0f\u4e16\u754c\u548c\u65e0\u6807\u5ea6\u884c\u4e3a<\/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

    Searching for small-world and scale-free behaviour in long-term historical data of a real-world power grid<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=ccd93f6a-1364-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    B\u00e1lint Hartmann,Vikt\u00f3ria Sug\u00e1r<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u5229\u7528\u5308\u7259\u5229\u7535\u7f51\u957f\u8fbe70\u5e74\u7684\u5386\u53f2\u6570\u636e\u96c6\u8fdb\u884c\u590d\u6742\u7f51\u7edc\u5206\u6790\uff0c\u8fd9\u662f\u7b2c\u4e00\u6b21\u5c1d\u8bd5\u8bc4\u4f30\u957f\u671f\u771f\u5b9e\u4e16\u754c\u6570\u636e\u7684\u5c0f\u4e16\u754c\u548c\u65e0\u5c3a\u5ea6\u7279\u6027\u3002<\/span><\/p>\n


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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u56fe\u4e0a\u8d85\u5feb\u901f\u968f\u673a\u6e38\u52a8\u7684<\/strong><\/span><\/p>\n

    \u968f\u673a\u591a\u8df3\u6a21\u578b<\/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

    Random Multi-Hopper Model. Super-Fast Random Walks on Graphs<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=c3804a12-1364-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Ernesto Estrada,Jean-Charles Delvenne,Naomichi Hatano,Jos\u00e9 L. Mateos,Ralf Metzler,Alejandro P. Riascos,Michael T. Schaub<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u5efa\u7acb\u4e86\u4e00\u822c\u56fe\u4e0a\u5177\u6709\u957f\u8ddd\u79bb\u8df3\u6570\u7684\u968f\u673a\u6b65\u884c\u8005\u6a21\u578b\u3002\u8fd9\u79cd\u968f\u673a\u7684\u591a\u8df3\u8dc3\u8005\u4ece\u4e00\u4e2a\u8282\u70b9\u8df3\u5230\u56fe\u4e2d\u7684\u4efb\u4f55\u5176\u4ed6\u8282\u70b9\uff0c\u5176\u6982\u7387\u968f\u7740\u4e24\u4e2a\u8282\u70b9\u4e4b\u95f4\u7684\u6700\u77ed\u8def\u5f84\u8ddd\u79bb\u7684\u51fd\u6570\u8870\u51cf\u3002\u6211\u4eec\u5728\u8fd9\u91cc\u8003\u8651\u4e24\u4e2a\u8870\u51cf\u51fd\u6570\u7684\u5f62\u5f0f\u7684\u62c9\u666e\u62c9\u65af\u548c\u6885\u6797\u53d8\u6362\u7684\u6700\u77ed\u8def\u5f84\u7684\u8ddd\u79bb\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u5f53\u8fd9\u4e9b\u53d8\u6362\u7684\u53c2\u6570\u6e10\u8fd1\u5730\u63a5\u8fd1\u96f6\u65f6\uff0c\u56fe\u4e2d\u4efb\u610f\u4e24\u4e2a\u8282\u70b9\u4e4b\u95f4\u7684\u591a\u8df3\u8dc3\u70b9\u51fb\u4e2d\u6b21\u6570\u6536\u655b\u5230\u5b83\u4eec\u7684\u6700\u5c0f\u53ef\u80fd\u503c\uff0c\u8be5\u503c\u7531\u5b8c\u5168\u56fe\u4e0a\u6b63\u5e38\u968f\u673a\u6b65\u884c\u8005\u7684\u51fb\u4e2d\u6b21\u6570\u7ed9\u51fa\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u5bf9\u4e8e\u5c0f\u7684\u53c2\u6570\u503c\uff0c\u591a\u8df3\u8dc3\u8005\u63a2\u7d22\u4e00\u4e2a\u4e00\u822c\u7684\u56fe\u8868\u65f6\uff0c\u5c3d\u53ef\u80fd\u5feb\u5730\u6bd4\u8f83\u4e00\u4e2a\u968f\u673a\u6b65\u884c\u8005\u5728\u4e00\u4e2a\u5b8c\u6574\u7684\u56fe\u8868\u3002\u901a\u8fc7\u8ba1\u7b97\u5b9e\u9a8c\u8868\u660e\uff0c\u5728\u8f83\u5927\u7684\u53c2\u6570\u8303\u56f4\u5185\uff0c\u4e0e\u6b63\u6001\u968f\u673a\u6b65\u884c\u5668\u76f8\u6bd4\uff0c\u591a\u8df3\u8dc3\u8005\u786e\u5b9e\u80fd\u66f4\u6709\u6548\u5730\u63a2\u7d22\u5177\u6709\u7c07\u6216\u504f\u5ea6\u5206\u5e03\u7684\u56fe\u3002\u901a\u8fc7\u5bf9\u786e\u5b9a\u6027\u7f51\u7edc\u3001\u968f\u673a\u7f51\u7edc\u548c\u5b9e\u9645\u7f51\u7edc\u7684\u7814\u7a76\uff0c\u8fdb\u4e00\u6b65\u8bc1\u660e\u4e86\u968f\u673a\u591a\u8df3\u8dc3\u6a21\u578b\u76f8\u5bf9\u4e8e\u6b63\u5e38\u968f\u673a\u6b65\u884c\u8005\u7684\u52a0\u901f\u6027\u80fd\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
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    \n
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    \u6d82\u9e26\u7684\u7a7a\u95f4\u5206\u5e03: <\/strong><\/span><\/p>\n

    \u4e00\u79cd\u590d\u6742\u7f51\u7edc\u65b9\u6cd5<\/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

    Spatial distribution of graffiti: A complex network approac<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=bef38a40-1364-11eb-9c75-0242ac1a000c<\/span><\/p>\n

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

    Eric K. Tokuda,Henrique F. de Arruda,Cesar H. Comin,Roberto M. Cesar-Jr.,Claudio T. Silva,Luciano da F. Costa<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u5c3d\u7ba1\u57ce\u5e02\u4e4b\u95f4\u5b58\u5728\u5de8\u5927\u7684\u5dee\u5f02\uff0c\u4f46\u5b83\u4eec\u5728\u793e\u4f1a\u4e0d\u5e73\u7b49\u3001\u653f\u6cbb\u548c\u72af\u7f6a\u65b9\u9762\u9762\u4e34\u7740\u76f8\u4f3c\u7684\u6311\u6218\u3002\u57ce\u5e02\u827a\u672f\u4ece\u5e02\u6c11\u7684\u89d2\u5ea6\u6765\u8868\u8fbe\u8fd9\u4e9b\u611f\u53d7\u3002\u7279\u522b\u662f\uff0c\u516c\u5171\u8868\u9762\u7684\u7d20\u63cf\u548c\u7ed8\u753b\u53ef\u4ee5\u643a\u5e26\u4e30\u5bcc\u7684\u65f6\u95f4\u548c\u5730\u533a\u7684\u4fe1\u606f\u3002\u73b0\u6709\u7684\u7814\u7a76\u5df2\u7ecf\u63a2\u7d22\u4e86\u6d82\u9e26\u7684\u7a7a\u95f4\u5206\u5e03\uff0c\u4f46\u5927\u591a\u6570\u7814\u7a76\u5c06\u6d82\u9e26\u89c6\u4e3a\u4e00\u4e2a\u6574\u4f53\uff0c\u6ca1\u6709\u5206\u7c7b\u3002\u800c\u4e14\uff0c\u8fd9\u4e9b\u5206\u6790\u5f88\u5c11\u8003\u8651\u57ce\u5e02\u7684\u5730\u5f62\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u5efa\u8bae\u5c06\u6d82\u9e26\u5206\u4e3a\u4e09\u79cd\u7c7b\u578b: \u7b80\u5355\u7684\u6d82\u9e26\u3001\u590d\u6742\u7684\u6d82\u9e26\u548c\u6cb9\u753b\u5e03\u3002\u6211\u4eec\u5206\u6790\u4e86\u5404\u7c7b\u578b\u7684\u7a7a\u95f4\u5206\u5e03\uff0c\u5e76\u786e\u5b9a\u4e86\u5404\u7c7b\u578b\u7684\u7a7a\u95f4\u504f\u5dee\u3002\u4e3a\u4e86\u8fdb\u4e00\u6b65\u5206\u6790\u8fd9\u4e9b\u7c7b\u578b\u7684\u7a7a\u95f4\u5206\u5e03\uff0c\u6211\u4eec\u5e94\u7528\u4e86\u590d\u6742\u7f51\u7edc\u7684\u6982\u5ff5\u3002\u9996\u5148\uff0c\u5f97\u5230\u7531\u57ce\u5e02\u7f51\u7edc\u8fde\u901a\u6027\u5256\u9762\u5b9a\u4e49\u7684\u533a\u57df(\u793e\u533a) \uff0c\u5e76\u5206\u6790\u5404\u7c7b\u6d82\u9e26\u5728\u8fd9\u4e9b\u533a\u57df\u7684\u6d41\u884c\u7a0b\u5ea6\u3002\u63a5\u4e0b\u6765\uff0c\u8ba1\u7b97\u4e00\u4e2a\u57fa\u4e8e\u7f51\u7edc\u52a8\u6001(\u53ef\u8bbf\u95ee\u6027)\u7684\u5ea6\u91cf\uff0c\u5e76\u4e0e\u6d82\u9e26\u7c7b\u578b\u7684\u5206\u5e03\u8fdb\u884c\u6bd4\u8f83\u3002\u5bf9\u5df4\u897f\u5723\u4fdd\u7f57\u5e02\u7684\u4e09\u79cd\u4e0d\u540c\u7c7b\u578b\u7684\u6d82\u9e26\u8fdb\u884c\u4e86\u4e2a\u6848\u7814\u7a76\u3002\u7ed3\u679c\u8868\u660e\uff0c\u8fd9\u4e9b\u7c7b\u522b\u5177\u6709\u660e\u663e\u7684\u7a7a\u95f4\u5206\u5e03\u7279\u5f81\u3002\u7136\u800c\uff0c\u7f51\u7edc\u4e2d\u6bcf\u4e2a\u7c7b\u578b\u4e0e\u6bcf\u4e2a\u793e\u533a\u7684\u6bd4\u4f8b\u5e76\u6ca1\u6709\u663e\u8457\u7684\u504f\u5dee\u3002\u6700\u540e\uff0c\u6bcf\u79cd\u6d82\u9e26\u7c7b\u578b\u7684\u4f4d\u7f6e\u4e0e\u53ef\u8fbe\u6027\u4e4b\u95f4\u5b58\u5728\u5c0f\u7684\u6b63\u76f8\u5173\u5173\u7cfb\u3002<\/span><\/p>\n


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


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    \u8d85\u56fe\u8d85\u8fb9\u7684\u5c40\u90e8\u51e0\u4f55\u53ca\u5176\u5728\u793e\u4f1a\u7f51\u7edc\u4e2d\u7684\u5e94\u7528 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u90129\u7bc7<\/strong><\/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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    \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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    <\/p>\n

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

    \n

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    \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\u65b0arXiv\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 \u4ece\u795e\u7ecf\u7f51\u7edc\u529f\u80fd\u9884\u6d4b\u7ed3\u6784\u7684\u51e0\u4f55\u6846\u67b6\uff1b \u89c2\u5bdf\u4e0e\u5e2e\u52a9: \u793e\u4f1a\u8ba4\u77e5\u4e0e…<\/p>\n","protected":false},"author":1,"featured_media":21350,"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\/21351"}],"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=21351"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/21351\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/21350"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21351"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21351"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21351"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=21351"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}