{"id":9149,"date":"2016-09-22T01:00:00","date_gmt":"2016-09-21T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%swarma-paper%\/"},"modified":"2018-12-11T21:40:00","modified_gmt":"2018-12-11T13:40:00","slug":"%e7%bd%91%e7%bb%9c%e5%8a%a8%e5%8a%9b%e5%ad%a6%e4%b8%8e%e5%87%a0%e4%bd%95%e4%b8%8b%ef%bc%9a%e9%9b%86%e6%99%ba-%e5%87%af%e9%a3%8e%e7%a0%94%e8%af%bb%e8%90%a5%e9%a2%84%e8%af%bb%e7%8f%ad5","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=9149","title":{"rendered":"\u7f51\u7edc\u52a8\u529b\u5b66\u4e0e\u51e0\u4f55(\u4e0b)\uff1a\u96c6\u667a-\u51ef\u98ce\u7814\u8bfb\u8425\u9884\u8bfb\u73ed5"},"content":{"rendered":"
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\u65f6\u95f4\uff1a<\/strong><\/span><\/p>\n

2016\u5e749\u670825\u53f7\uff08\u5468\u65e5\uff09\uff0c\u5317\u4eac\u65f6\u95f4\u665a\u4e0a9\u70b9\u3002<\/p>\n


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\u5730\u70b9\uff1a<\/strong><\/span><\/p>\n

\u7f51\u7edc\u76f4\u64ad\u8bfe\u5802 \u591a\u8d1d\u4e91<\/strong>\uff08\u5728<\/span>\u6587\u672b<\/span>\u626b\u63cf\u4e8c\u7ef4\u7801\u6216\u70b9\u51fb<\/span>\u9605\u8bfb\u539f\u6587<\/span>\u94fe\u63a5<\/span>\uff09<\/span><\/p>\n


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Principle of Locality I: Hacking the Continuum Mean-Field Technique in Network Modeling<\/p>\n

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http:\/\/www.jianshu.com\/p\/97f674267d3e<\/p>\n<\/blockquote>\n


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\u53c2\u8003\u6587\u732e<\/strong><\/span><\/p>\n

    \n
  • \n

    Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of \u2018small-world\u2019networks. nature, 393(6684), 440-442.<\/span><\/p>\n<\/li>\n

  • \n

    Barab\u00e1si, A. L., & Albert, R. (1999). Emergence of scaling in random networks. science, 286(5439), 509-512.<\/span><\/p>\n<\/li>\n

  • \n

    Zhang, J., Li, X., Wang, X., Wang, W. X., & Wu, L. (2015). Scaling behaviours in the growth of networked systems and their geometric origins. Scientific reports, 5.<\/span><\/p>\n<\/li>\n

  • \n

    Krioukov, D. (2016). Clustering Implies Geometry in Networks. Physical review letters, 116(20), 208302.<\/span><\/p>\n<\/li>\n

  • \n

    Papadopoulos, F., Kitsak, M., Serrano, M. \u00c1., Bogun\u00e1, M., & Krioukov, D. (2012). Popularity versus similarity in growing networks. Nature, 489(7417), 537-540.<\/span><\/p>\n<\/li>\n<\/ul>\n


    <\/p>\n

    \u76f8\u5173\u6750\u6599<\/strong><\/span><\/p>\n

      \n
    • \n

      \u65e0\u6807\u5ea6\u7f51\u7edc\u7684\u79d1\u666e\u6750\u6599<\/span><\/p>\n

      http:\/\/wiki.swarma.net\/index.php\/%E6%97%A0%E5%B0%BA%E5%BA%A6%E7%BD%91%E7%BB%9C<\/span><\/p>\n<\/li>\n

    • \n

      \u53cc\u66f2\u7a7a\u95f4\u6a21\u578b<\/span><\/p>\n

      http:\/\/wiki.swarma.net\/index.php\/%E5%8F%8C%E6%9B%B2%E7%A9%BA%E9%97%B4%E6%A8%A1%E5%9E%8B<\/span><\/p>\n<\/li>\n

    • \n

      \u590d\u6742\u7f51\u7edc\u7684\u53cc\u66f2\u6a21\u578b<\/span><\/p>\n

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      <\/p>\n
      \"\u96c6\u667a\"
      <\/section>\n
      \"\u96c6\u667a\"\u2190<\/span>\u8bc6\u522b\u4e8c\u7ef4\u7801\u53c2\u52a0~<\/section>\n

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

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      \"\u96c6\u667a\"<\/p>\n

      \"\u96c6\u667a\"<\/p>\n

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      \"\u96c6\u667a\"<\/span><\/p>\n

      \n
      \"\u96c6\u667a\"
      <\/section>\n<\/section>\n

      \u957f\u6309\u8bc6\u522b\u4e8c\u7ef4\u7801\uff0c\u5173\u6ce8\u96c6\u667aClub\uff0c<\/span><\/p>\n

      \u8ba9\u6211\u4eec\u79bb\u79d1\u5b66\u63a2\u7d22\u66f4\u8fd1\u4e00\u6b65\u3002<\/span><\/p>\n

      \u25bc\u8bfe\u7a0b\u5730\u5740<\/span><\/p>\n

      \n

      \u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a \u96c6\u667a\u4ff1\u4e50\u90e8 <\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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