{"id":20005,"date":"2020-06-07T18:46:03","date_gmt":"2020-06-07T10:46:03","guid":{"rendered":"https:\/\/swarma.org\/?p=20005"},"modified":"2020-06-07T18:46:03","modified_gmt":"2020-06-07T10:46:03","slug":"%e4%bb%8a%e6%99%9a7%e7%82%b9%e7%9b%b4%e6%92%ad-%e7%bd%91%e7%bb%9c%e8%a1%a5%e5%85%a8%e6%96%b9%e6%b3%95%e8%ae%ba%e5%8f%8a%e5%a4%8d%e6%9d%82%e7%b3%bb%e7%bb%9f%e8%87%aa%e5%8a%a8%e5%bb%ba%e6%a8%a1","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=20005","title":{"rendered":"\u4eca\u665a7\u70b9\u76f4\u64ad | \u7f51\u7edc\u8865\u5168\u65b9\u6cd5\u8bba\u53ca\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u8bfb\u4e66\u4f1a\u603b\u7ed3"},"content":{"rendered":"
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\u76f4\u64ad\u5730\u5740\uff1a<\/span><\/strong>\u96c6\u667a\u4ff1\u4e50\u90e8 B \u7ad9\u76f4\u64ad\u95f4<\/span><\/section>\n


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\u8bba\u65871\uff1a<\/span><\/strong><\/span>\u57fa\u4e8e\u77ed\u65f6\u95f4\u5e8f\u5217\u63a8\u65ad\u6709\u5411\u7f51\u7edc\u7684\u5185\u90e8\u7ec4\u6210\u6bd4\u5bf9<\/span><\/strong><\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/section>\n

Inner Composition Alignment for Inferring Directed Networks from Short Time Series<\/span><\/h2>\n

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\u8bc6\u522b\u56e0\u679c\u5173\u7cfb\uff08\u8026\u5408<\/span>\uff09\u662f\u4e00\u4e2a\u57fa\u672c\u95ee\u9898\uff0c\u6709\u52a9\u4e8e\u7406\u89e3\u590d\u6742\u7f51\u7edc\u4e2d\u7684\u6d8c\u73b0\u7ed3\u6784\u3002<\/span>\u672c\u6587\u63d0\u51fa\u5e76\u5206\u6790\u4e86\u4e00\u79cd\u65b0\u7684\u57fa\u4e8e\u6392\u5217\u7684\u975e\u5bf9\u79f0\u5173\u8054\u6d4b\u5ea6\u2014\u2014\u5185\u90e8\u7ec4\u6210\u6bd4\u5bf9\uff0c\u7528\u4e8e\u4ece\u975e\u5e38\u77ed\u7684\u65f6\u95f4\u5e8f\u5217\u4e2d\u68c0\u6d4b\u57fa\u56e0\u8868\u8fbe\u4e2d\u7684\u8c03\u63a7\u7f51\u7edc\u3002<\/span>\u8be5\u6d4b\u5ea6\u53ef\u7528\u4e8e\u63a8\u65ad\u8026\u5408\u65b9\u5411\uff0c\u5e76\u89e3\u91ca\u81ea\u52a8\u8c03\u8282\u8fc7\u7a0b\u3002<\/span>\u672c\u6587\u8fd8\u4ecb\u7ecd\u4e86\u8fd9\u79cd\u65b9\u6cd5\u5728\u5927\u80a0\u6746\u83cc\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u4e2d\u7684\u5e94\u7528\u3002<\/span><\/p>\n


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\u8bba\u6587\u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n<\/section>\n

S. Hempel\uff0cA. Koseska\uff0cJ. Kurths and Z. Nikoloski<\/span><\/span><\/p>\n


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\u8bba\u65872\uff1a<\/span><\/strong><\/span>\u4e00\u79cd\u4ece\u4e8c\u5143\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u63a8\u65ad\u7f51\u7edc\u7ed3\u6784\u7684\u7edf\u8ba1\u65b9\u6cd5<\/span><\/strong><\/span><\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/section>\n

A statistical inference approach to structural reconstruction of complex networks from binary time series<\/span><\/h2>\n

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https:\/\/pattern.swarma.org\/paper?id=01fbc906-5777-11ea-b66d-0242ac1a0005<\/p>\n

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\u8bba\u6587\u7b80\u4ecb\uff1a<\/span><\/strong><\/p>\n

\u65b0\u51a0\u75c5\u6bd2\u968f\u65f6\u95f4\u4f20\u64ad\u7684\u8fc7\u7a0b\u53ef\u4ee5\u88ab\u89c6\u4f5c\u4e3a\u4e00\u4e2a\u7b80\u5355\u7684\u4e8c\u5143\u4f20\u64ad\u6a21\u578b SI\uff08Susceptible- Infection<\/span>\uff09, \u6211\u4eec\u77e5\u9053\u75c5\u6bd2\u6cbf\u7740\u793e\u4ea4\u7f51\u7edc\u5173\u7cfb\u94fe\u8fdb\u884c\u4e00\u4ee3\u6216\u4e8c\u4ee3\u4f20\u64ad\uff0c\u6bcf\u4e2a\u4e2a\u4f53\u968f\u65f6\u95f4\u7684\u53d8\u5316\u5728 Susceptible \u4e0e Infection \u4e24\u79cd\u72b6\u6001\u4e4b\u95f4\u53d8\u5316\uff0c\u5f62\u6210\u4e8c\u5143\u65f6\u95f4\u5e8f\u5217\uff0c\u8fd9\u4e2a\u65f6\u95f4\u5e8f\u5217\u80fd\u591f\u76f4\u89c2\u7684\u5f97\u5230\uff0c\u4f46\u5176\u80cc\u540e\u7684\u793e\u4ea4\u7f51\u7edc\u5173\u7cfb\u94fe\u5374\u4e0d\u90a3\u4e48\u201c\u663e\u7136\u201d\uff0c\u56e0\u6b64\uff0c\u6709\u4f17\u591a\u8bba\u6587\u7814\u7a76\u5982\u4f55\u4ece\u89c2\u5bdf\u5230\u7684\u4e8c\u5143\u65f6\u95f4\u5e8f\u5217\u4e2d\u91cd\u6784\u51fa\u4e2a\u4f53\u95f4\u7684\u7f51\u7edc\u7ed3\u6784. \u672c\u6587\u5229\u7528\u671f\u671b\u6700\u5927\u5316\uff08EM<\/span>\uff09\u7b97\u6cd5\uff0c\u6784\u5efa\u8282\u70b9\u95f4\u8fde\u8fb9\u6982\u7387\u7684\u6781\u5927\u4f3c\u7136\u4f30\u8ba1\uff0c\u4ece\u4e8c\u5143\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u5bf9\u4e24\u4e2a\u8282\u70b9\u95f4\u7684\u8fde\u8fb9\u6982\u7387\u8fdb\u884c\u63a8\u65ad\uff0c\u8be5\u65b9\u6cd5\u4e0d\u9700\u8981\u5148\u9a8c\u77e5\u8bc6\uff0c\u6570\u636e\u9a71\u52a8\u4e14\u65e0\u53c2\u6570\uff0c\u5728\u6709\u566a\u97f3\u7684\u60c5\u51b5\u4e0b\u4e5f\u80fd\u8fdb\u884c\u7cbe\u786e\u7684\u91cd\u6784\u3002\u5728\u591a\u79cd\u4e8c\u5143\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e0a\uff0c\u8be5\u65b9\u6cd5\u80fd\u91cd\u6784\u51fa95%\u4ee5\u4e0a\u7684\u7f51\u7edc\u3002<\/span><\/p>\n


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\u8bba\u6587\u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n<\/section>\n
C. Ma\uff0cH.-S. Chen\uff0cY.-C. Lai\uff0cH.-F. Zhang<\/span><\/section>\n

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\u4e3b\u8bb2\u4eba\uff1a<\/span><\/strong><\/p>\n

\u9648\u5b5f\u56ed\uff0c\u5317\u4eac\u5e08\u8303\u5927\u5b66\u5728\u8bfb\u7855\u58eb\uff0c\u4e3b\u8981\u7814\u7a76\u7684\u65b9\u5411\u662f\u7f51\u7edc\u8865\u5168\u3002<\/span><\/p>\n

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\u8bba\u65873\uff1a\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u2014\u2014\u672a\u5b8c\u6210\u7684\u5730\u56fe\uff08\u56de\u987e\u603b\u7ed3\uff09<\/span><\/strong><\/span><\/section>\n

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\u4eca\u5929\u5c06\u7531\u767d\u695a\u5e26\u5927\u5bb6\u4e00\u8d77\u56de\u987e\u4e00\u4e0b\u8fd9\u4e9b\u8bba\u6587\uff0c\u4e3a\u5927\u5bb6\u68b3\u7406\u5173\u4e8e\u8fd9\u4e2a\u9886\u57df\u7684\u57fa\u672c\u6846\u67b6\u3002<\/span><\/p>\n


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\u4e3b\u8bb2\u4eba\uff1a<\/strong><\/p>\n

\u767d\u695a\uff0c\u5357\u5b89\u666e\u987f\u5927\u5b66 EE \u535a\u58eb\uff0c\u73b0\u4e3a\u67d0\u7814\u7a76\u4e2d\u5fc3\u526f\u7814\u7a76\u5458\u3002\u4fe1\u606f\u8bba\u3001\u4eba\u5de5\u667a\u80fd\u4e0e\u673a\u5668\u4eba\u9886\u57df\u79d1\u7814\u5de5\u4f5c\u8005\u3002<\/span><\/p>\n<\/section>\n<\/section>\n


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\u80e1\u56fd\u8f89\u3001\u5f20\u7ae0\u3001\u9676\u7136\u3001\u8d75\u8be3\u3001\u767d\u695a\u3001\u5f18\u660e\u3001\u66fe\u597d\u3001\u90ed\u94c1\u57ce\u3001\u80e1\u56fd\u8f89\u3001\u9ad8\u98de\u3001\u674e\u579a\u946b<\/span>\u3001\u5218\u6676\u3001\u90ed\u5b87\u3001\u5f20\u598d\u3001\u8521\u660e\u535a\u3001\u5341\u4e09\u7ef4\u3001\u9ad8\u4ea6\u658c\u3001\u738b\u529b\u98de\u3001\u9ec4\u7389\u3001\u738b\u7855\u3001\u9648\u5b5f\u56ed\u7b49\u8001\u5e08\u540c\u5b66\u4e3a\u8bfb\u4e66\u4f1a\u8d21\u732e\u7684\u7cbe\u5f69\u77e5\u8bc6\u3002<\/span><\/p>\n


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    \u7b2c6\u671f \u76f8\u7a7a\u95f4\u91cd\u6784<\/span><\/section>\n<\/li>\n
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    \u7b2c5\u671f \u57fa\u4e8e\u538b\u7f29\u611f\u77e5\u7b97\u6cd5\u7684\u590d\u6742\u7f51\u7edc\u5efa\u6a21<\/span><\/section>\n<\/li>\n
  • \n
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  • \n
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  • \n
    \u7b2c2\u671f \u590d\u6742\u7f51\u7edc\u4e0e\u91d1\u878d\u7cfb\u7edf\u7814\u7a76<\/span><\/section>\n<\/li>\n
  • \n
    \u7b2c1\u671f \u57fa\u4e8e\u52a8\u529b\u5b66\u7684\u7f51\u7edc\u91cd\u6784<\/span><\/section>\n<\/li>\n<\/ul>\n

    <\/section>\n

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

    \u9884\u8d2d\u5f55\u64ad\uff0c\u65e0\u9650\u56de\u770b<\/strong><\/span><\/p>\n

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


    <\/p>\n

    \u9519\u8fc7\u76f4\u64ad\u600e\u4e48\u529e\uff1f\u610f\u72b9\u672a\u5c3d\u600e\u4e48\u529e\uff1f<\/span>\u4e0d\u8981\u62c5\u5fc3\uff0c\u5f55\u64ad\u5730\u5740\u5df2\u7ecf\u653e\u51fa\u3002<\/span><\/p>\n


    <\/p>\n

    \u9884\u8d2d\u8bfe\u7a0b\u5f55\u64ad\uff0c\u4e09\u4e2a\u5de5\u4f5c\u65e5\u540e\u5373\u53ef\u56de\u770b\u526a\u8f91\u7248\u672c\u3002<\/span><\/p>\n


    <\/p>\n

    <\/section>\n

    https:\/\/campus.swarma.org\/mobile\/course\/1601\/?\/from=wechat<\/strong><\/span>
    <\/p>\n


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

    \n
    \n


    <\/p>\n

    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
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    \n

    \u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n

    \u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
    <\/span><\/strong><\/p>\n

    \n

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

    \u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


    <\/p>\n

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

    \n

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

    \u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n


    <\/p>\n

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