{"id":34762,"date":"2022-05-28T18:30:34","date_gmt":"2022-05-28T10:30:34","guid":{"rendered":"https:\/\/swarma.org\/?p=34762"},"modified":"2022-05-28T18:30:34","modified_gmt":"2022-05-28T10:30:34","slug":"%e5%bd%ad%e7%89%b9%e5%85%b0%ef%bc%9a%e6%83%b3%e6%b3%95%e6%b5%81%e5%a4%9a%e6%a0%b7%e6%80%a7%e4%b8%8e%e7%bb%8f%e6%b5%8e%e5%a2%9e%e9%95%bf","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=34762","title":{"rendered":"\u5f6d\u7279\u5170\uff1a\u60f3\u6cd5\u6d41\u591a\u6837\u6027\u4e0e\u7ecf\u6d4e\u589e\u957f"},"content":{"rendered":"
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\u63a5\u53d7\u591a\u5143\u7684\u60f3\u6cd5\u5728\u7ecf\u6d4e\u589e\u957f\u4e2d\u53d1\u6325\u4e86\u4ec0\u4e48\u4f5c\u7528\uff1f\u5730\u7406\u5b9a\u4f4d\u901a\u4fe1\u548c\u7ecf\u6d4e\u6570\u636e\u7684\u65b0\u5f62\u5f0f\u4f7f\u5f97\u6211\u4eec\u53ef\u4ee5\u5bf9\u4eba\u7c7b\u4e92\u52a8\u6a21\u5f0f\u8fdb\u884c\u5b9a\u91cf\u5316\u7684\u6d4b\u91cf\uff0c\u5e76\u4e14\u53ef\u4ee5\u5728\u5f88\u7ec6\u7684\u7c92\u5ea6\u4e0a\u9884\u6d4b\u4e2a\u4eba\u3001\u793e\u533a\u548c\u56fd\u5bb6\u7684\u7ecf\u6d4e\u4ea7\u51fa\u3002\u5176\u4e2d\u6700\u5f3a\u6709\u529b\u7684\u9884\u6d4b\u662f\uff0c\u53ef\u4ee5\u7528\u793e\u533a\u95f4\u4e92\u52a8\u7684\u591a\u6837\u6027\u6765\u8861\u91cf\u6536\u5165\u3001\u751f\u4ea7\u529b\u548c\u589e\u957f\u3002\u5728\u53d1\u8868\u4e8eJournal of Social Computing<\/em> \u671f\u520a\u7684\u6587\u7ae0\u4e2d\uff0c\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u5f6d\u7279\u5170\uff08Alex Pentland\uff09\u7efc\u8ff0\u4e86\u5927\u6570\u636e\u80cc\u666f\u4e0b\u65b0\u7684\u6295\u8d44\u673a\u4f1a\u548c\u65b0\u7684\u98ce\u9669\u8bc4\u4f30\u65b9\u6cd5\u3002\u53e6\u5916\uff0c\u7531\u4e8e\u5927\u6570\u636e\u7684\u4f7f\u7528\u8fd8\u4f1a\u5e26\u6765\u9690\u79c1\u548c\u5b89\u5168\u4e0a\u7684\u98ce\u9669\uff0c\u672c\u6587\u7684\u6700\u540e\u4e00\u90e8\u5206\u63cf\u8ff0\u4e86\u5982\u4f55\u5e94\u5bf9\u8fd9\u4e9b\u98ce\u9669\u3002<\/span><\/strong><\/p>\n


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\u96c6\u667a\u4ff1\u4e50\u90e8\u7ec4\u7ec7\u7684\u300c\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u8bfb\u4e66\u4f1a<\/a>\u300d\u5df2\u7ecf\u542f\u52a8\u62a5\u540d\uff0c\u5c06\u805a\u7126\u8ba8\u8bbaGraph\u3001Embedding\u3001NLP\u3001Modeling\u3001Data collection\u7b49\u65b9\u6cd5\u53ca\u5176\u4e0e\u793e\u4f1a\u79d1\u5b66\u95ee\u9898\u7684\u7ed3\u5408\uff0c\u5e76\u9488\u5bf9\u6027\u8ba8\u8bba\u9884\u6d4b\u6027\u4e0e\u89e3\u91ca\u6027\u3001\u65b0\u51a0\u75ab\u60c5\u7814\u7a76\u7b49\u8bfe\u9898\u3002\u8bfb\u4e66\u4f1a6\u670818\u65e5\u5f00\u59cb\uff0c\u6301\u7eed8-10\u5468\uff0c\u8be6\u60c5\u89c1\u6587\u672b\u3002<\/span><\/strong><\/span><\/strong><\/p>\n


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\u7814\u7a76\u9886\u57df\uff1a\u60f3\u6cd5\u6d41\uff0c\u793e\u4ea4\u7f51\u7edc\uff0c\u6570\u636e\u9769\u547d\uff0c\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66<\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Alex Pentland<\/span> | \u4f5c\u8005<\/strong><\/span><\/strong><\/p>\n

\u9676\u5982\u610f<\/span> | \u8bd1\u8005<\/strong><\/span><\/strong><\/span><\/p>\n

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1. \u5927\u6570\u636e\u80cc\u666f\u4e0b\u7684\u53d1\u5c55\u4e0e\u521b\u65b0<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u79fb\u52a8\u624b\u673a\u3001\u793e\u4ea4\u5a92\u4f53\u3001\u6570\u5b57\u652f\u4ed8\u4ee5\u53ca\u4e00\u4e9b\u5176\u4ed6\u6280\u672f\u7684\u5e7f\u6cdb\u4f7f\u7528\uff0c\u4f7f\u5f97\u4eba\u4eec\u5bf9\u4e8e\u793e\u4f1a\u548c\u7ecf\u6d4e\u7684\u7406\u89e3\u80fd\u529b\u6709\u4e86\u8d28\u7684\u98de\u8dc3\uff0c\u8fd9\u79cd\u6301\u7eed\u5b9a\u91cf\u5730\u3001\u5e7f\u6cdb\u8303\u56f4\u89c2\u5bdf\u4eba\u7c7b\u884c\u4e3a\u7684\u80fd\u529b\u521b\u9020\u4e86\u4e00\u95e8\u65b0\u7684\u79d1\u5b66\u5b66\u79d1\uff0c\u79f0\u4e4b\u4e3a\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66<\/strong><\/span>\uff08computational social science\uff09<\/span>\uff0c \u5e76\u4e14\u5b83\u4e5f\u5f00\u59cb\u6539\u53d8\u4e00\u4e9b\u5176\u4ed6\u5b66\u79d1\uff0c\u5982\u793e\u4f1a\u5b66\u3001\u653f\u6cbb\u5b66\u548c\u5fc3\u7406\u5b66\u3002<\/span>
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\u8fd9\u4e9b\u65b0\u9896\u7684\u6570\u636e\u5f62\u5f0f\u5bf9\u73b0\u6709\u79d1\u5b66\u7684\u4e3b\u8981\u8d21\u732e\u5728\u4e8e\uff0c\u8ba9\u7814\u7a76\u4eba\u5458\u53d1\u73b0\u4eba\u7c7b\u4e92\u52a8\u7684\u6a21\u5f0f\u5bf9\u793e\u4f1a\u548c\u7ecf\u6d4e\u7684\u5f71\u54cd\u3002\u4eba\u7c7b\u4e4b\u95f4\u7684\u4ea4\u4e92\uff0c\u662f\u5f88\u591a\u793e\u4f1a\u884c\u4e3a\u548c\u793e\u4f1a\u73b0\u8c61\u7684\u5a92\u4ecb\u3002\u6700\u8fd1\u5728\u7406\u89e3\u8fd9\u4e9b\u76f8\u4e92\u4f5c\u7528\u6a21\u5f0f\u65b9\u9762\u53d6\u5f97\u7684\u8fdb\u5c55\uff0c\u5df2\u7ecf\u5e2e\u52a9\u51b3\u7b56\u8005\u89e3\u51b3\u4e86\u5f88\u591a\u5177\u6709\u793e\u4f1a\u91cd\u8981\u6027\u7684\u95ee\u9898\u3002\u4f8b\u5982\u76d1\u6d4b\u793e\u4f1a\u7ecf\u6d4e\u8d2b\u56f0\u548c\u72af\u7f6a\u6c34\u5e73\uff0c\u7ed8\u5236\u75be\u75c5\u4f20\u64ad\uff0c\u4ee5\u53ca\u4e86\u89e3\u81ea\u7136\u707e\u5bb3\u3001\u73af\u5883\u98ce\u9669\u548c\u5176\u4ed6\u7d27\u6025\u60c5\u51b5\u7684\u5f71\u54cd\uff0c\u7b49\u7b49\u3002\u5728\u6587\u7ae0\u4e2d\u79f0\u4e4b\u4e3a\u201c\u6570\u636e\u9769\u547d<\/strong>\u201d<\/span>\uff08data revolution\uff09<\/span>\u3002<\/span><\/section>\n
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\u540c\u6837\u7684\uff0c\u6570\u636e\u9769\u547d\u4e5f\u5f00\u59cb\u6539\u53d8\u7ecf\u6d4e\u3001\u91d1\u878d\u548c\u6295\u8d44\u7b49\u9886\u57df\u3002\u7ecf\u6d4e\u7406\u8bba\u548c\u6211\u4eec\u7684\u5927\u591a\u6570\u5236\u5ea6\uff0c\u90fd\u662f\u5efa\u7acb\u5728\u201c\u4eba\u7c7b\u662f\u7406\u6027\u7684\u4e2a\u4f53\u201d\u8fd9\u4e00\u89c2\u5ff5\u4e4b\u4e0a\u7684\u3002\u672c\u6587\u8ba4\u4e3a\uff0c\u8fd9\u79cd\u6a21\u578b\u4e0d\u8db3\u4ee5\u8ba9\u6211\u4eec\u5145\u5206\u7406\u89e3\u5728\u65e0\u7ea6\u675f\u7684\u81ea\u7136\u6761\u4ef6\u4e0b\u7684\u7ecf\u6d4e\u4ea7\u51fa\u3002\u56e0\u4e3a\u5373\u4f7f\u662f\u7406\u6027\u7684\u201c\u81ea\u5229\u201d\u884c\u4e3a\u8005\uff0c\u4e5f\u4e0d\u5e94\u8be5\u88ab\u770b\u505a\u662f\u5b64\u7acb\u7684\u4e2a\u4f53\uff0c\u4e5f\u4f1a\uff081\uff09\u51b3\u7b56\u53d7\u5230\u4ed6\u4eba\u7684\u5f71\u54cd\uff1b\uff082\uff09\u4ece\u540c\u4f34\u4e92\u52a8\u4e2d\u83b7\u5f97\u5de8\u5927\u7684\u6536\u76ca\uff0c\u7279\u522b\u662f\u90a3\u4e9b\u8de8\u8d8a\u793e\u533a\u8fb9\u754c\u7684\u4e92\u52a8\u3002\u5b9e\u9645\u4e0a\uff0c\u8fd9\u4e9b\u793e\u533a\u4e4b\u95f4\u7684\u201c\u793e\u4ea4\u6865\u6881\u201d\uff08social bridge\uff09\u5f80\u5f80\u662f\u9884\u6d4b\u7ecf\u6d4e\u4ea7\u51fa\u7684\u6700\u5927\u8981\u7d20\u4e4b\u4e00\u3002<\/strong><\/span><\/section>\n
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1. \u4ea4\u4e92\u591a\u6837\u6027\u9ad8\u7684\u4eba\u4f1a\u6709\u66f4\u591a\u7684\u673a\u4f1a\uff0c\u56e0\u6b64\u53ef\u4ee5\u83b7\u5f97\u66f4\u591a\u7684\u8d22\u5bcc\u3002<\/span><\/p>\n

2. \u4eba\u7c7b\u589e\u52a0\u4ea4\u4e92\u591a\u6837\u6027\u7684\u884c\u4e3a\uff0c\u548c\u5176\u4ed6\u7269\u79cd\u7684\u89c5\u98df\u884c\u4e3a\u7c7b\u4f3c\uff0c\u5373\u4e00\u5b9a\u6982\u7387\u63a2\u7d22\u65b0\u7684\u8d44\u6e90\uff0c\u4e00\u5b9a\u6982\u7387\u4fdd\u7559\u5df2\u77e5\u7684\u8def\u5f84\u548c\u673a\u4f1a\u3002\u800c\u8fd9\u4e8c\u8005\u7684\u5e73\u8861\u662f\u7ecf\u6d4e\u53d1\u5c55\u7684\u5173\u952e\u51b3\u5b9a\u56e0\u7d20\u3002<\/span><\/p>\n

3. \u8de8\u793e\u533a\u7684\u793e\u4ea4\u6865\u6881\u6709\u52a9\u4e8e\u63d0\u9ad8\u521b\u65b0\u901f\u5ea6\uff0c\u5bfc\u81f4\u5f3a\u5927\u7684\u7ecf\u6d4e\u4ea7\u51fa\u3002<\/span><\/section>\n
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\u5728\u672c\u7bc7\u6587\u7ae0\u4e2d\uff0c\u4f5c\u8005\u5229\u7528\u6765\u81ea\u7f8e\u56fd\u3001\u6b27\u76df\u548c\u4e9a\u6d32\u591a\u4e2a\u57ce\u5e02\u7684\u6570\u636e\u8d44\u6e90\uff0c\u5bf9\u4ee5\u4e0a\u4e09\u4e2a\u547d\u9898\u7684\u8bc1\u636e\u8fdb\u884c\u7efc\u8ff0\u3002\u4f5c\u8005\u8fd8\u5bf9\u8fd9\u4e9b\u65b0\u7684\u53d1\u5c55\u4f1a\u5982\u4f55\u6311\u6218\u4e3b\u6d41\u7684\u7ecf\u6d4e\u548c\u6295\u8d44\u7406\u8bba\u505a\u51fa\u8bc4\u8bba\u3002\u53e6\u5916\u8fd8\u5bf9\u5f53\u524d\u6570\u636e\u5b89\u5168\u6027\u3001\u5982\u4f55\u5b89\u5168\u5229\u7528\u5df2\u6709\u7684\u6570\u636e\u8d44\u6e90\u6765\u5efa\u7acb\u66f4\u597d\u7684\u6295\u8d44\u548c\u98ce\u9669\u7ba1\u7406\u7cfb\u7edf\u53d1\u8868\u4e86\u81ea\u5df1\u7684\u89c1\u89e3\u3002<\/span><\/section>\n
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2. \u8d22\u5bcc\u6765\u81ea\u4e8e\u53d1\u73b0\u66f4\u591a\u7684\u65b0\u673a\u4f1a<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u4eba\u662f\u793e\u4f1a\u7f51\u7edc\u4e2d\u7684\u751f\u7269\u3002\u56fe1\u5c55\u793a\u4e86\u4e2a\u4f53\u5728\u793e\u4f1a\u7f51\u7edc\u4e2d\u7684\u4e92\u52a8\u591a\u6837\u6027\u548c\u6536\u5165\u4e4b\u95f4\u7684\u5173\u7cfb[1]\uff0c\u800c\u4e92\u52a8\u591a\u6837\u6027\u53ef\u4ee5\u8ba4\u4e3a\u662f\u662f\u9047\u5230\u65b0\u673a\u4f1a\u53ef\u80fd\u6027\u7684\u8861\u91cf\u3002\u5bf9\u4e8e\u7f51\u7edc\u7ed3\u6784\u591a\u6837\u6027\u7684\u4e0d\u540c\u6307\u6807\u2014\u2014\u65e0\u8bba\u662f\u4f7f\u7528\u7f51\u7edc\u96c6\u805a\u7cfb\u6570<\/span>\uff08clustering coefficient\uff09<\/span>\u6216\u8005\u8861\u91cf\u7ed3\u6784\u65b0\u9896\u7a0b\u5ea6\u7684\u6307\u6807Burt-style\u2014\u2014\u90fd\u80fd\u5f97\u5230\u7c7b\u4f3c\u7684\u7ed3\u679c[2]\u3002<\/span><\/section>\n

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\u56fe1. \u968f\u7740\u4e2a\u4f53\u793e\u4ea4\u7f51\u7edc\u7ed3\u6784\u8d8a\u6765\u8d8a\u591a\u6837\u5316\uff0c\u5982\u548c\u66f4\u5177\u6709\u591a\u6837\u6027\u7684\u793e\u533a\u4ea4\u4e92\uff0c\u4ed6\u4eec\u7684\u6536\u5165\u4f1a\u968f\u4e4b\u589e\u52a0[1]\u3002\u56fe\u4e2d\u6570\u636e\u6765\u81ea\u968f\u673a\u62bd\u6837100,000\u4e2a\u6765\u81ea\u4e2d\u6536\u5165\u56fd\u5bb6\u4e2d\u7684\u4eba\u3002<\/span><\/p>\n


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\u4e0e\u6b64\u540c\u65f6\uff0c\u6536\u5165\u7684\u589e\u52a0\u4e5f\u4f1a\u5bfc\u81f4\u793e\u4ea4\u7f51\u7edc\u66f4\u52a0\u591a\u6837\u5316\u3002\u8d22\u5bcc\u521b\u9020\u662f\u4e00\u4e2a\u590d\u6742\u3001\u52a8\u6001\u7684\u53cd\u9988\u8fc7\u7a0b\uff0c\u6ca1\u6709\u4e00\u4e2a\u660e\u786e\u7684\u56e0\u679c\u5173\u7cfb\u3002\u4e0e\u5176\u95ee\u56e0\u679c\u5173\u7cfb\uff0c\u4e0d\u5982\u95ee\u8fd9\u4e2a\u590d\u6742\u7684\u52a8\u6001\u7cfb\u7edf\u6bcf\u4e2a\u90e8\u5206\u7684\u76f8\u5bf9\u91cd\u8981\u6027\uff0c\u800c\u56fe1\u6709\u529b\u8bc1\u660e\u4e86\uff0c\u63a5\u89e6\u4e0d\u540c\u7684\u601d\u60f3\u5bf9\u4e8e\u8d22\u5bcc\u521b\u9020\u8fc7\u7a0b\u6709\u7740\u91cd\u8981\u7684\u5f71\u54cd\u3002<\/span><\/section>\n
 <\/span><\/section>\n
\u4ea4\u4e92\u6a21\u5f0f\u7684\u91cd\u8981\u6027\u8ba9\u5f88\u591a\u4eba\u611f\u5230\u60ca\u8bb6\uff0c\u56e0\u4e3a\u4eba\u4eec\u901a\u5e38\u8ba4\u4e3a\u4e2a\u4eba\u7279\u5f81\u8fdc\u8fdc\u5927\u4e8e\u793e\u4ea4\u7f51\u7edc\u56e0\u7d20\u3002\u7136\u800c\uff0c\u4e0e\u5176\u628a\u4eba\u4eec\u770b\u4f5c\u662f\u72ec\u7acb\u7684\u521b\u65b0\u8005\uff0c\u4e0d\u5982\u628a\u4eba\u7c7b\u770b\u4f5c\u662f\u4e00\u4e2a\u4e0d\u65ad\u5bfb\u627e\u53ef\u4ee5\u590d\u5236\u7684\u521b\u65b0\u548c\u5e94\u7528\u5df2\u77e5\u521b\u65b0\u65b0\u673a\u4f1a\u7684\u7269\u79cd<\/strong>\uff0c\u8fd9\u79cd\u63cf\u8ff0\u597d\u50cf\u66f4\u52a0\u51c6\u786e\u3002\u793e\u4ea4\u7f51\u7edc\u662f\u53d1\u73b0\u65b0\u7684\u521b\u65b0\u548c\u673a\u4f1a\u7684\u4e3b\u8981\u2014\u2014\u4e5f\u8bb8\u662f\u4e3b\u5bfc\u7684\u8d44\u6e90\u3002\u50cf\u6240\u6709\u5176\u4ed6\u793e\u4f1a\u7269\u79cd\u4e00\u6837\uff0c\u6211\u4eec\u4eba\u7c7b\u559c\u6b22\u5229\u7528\u73b0\u6709\u7684\u73af\u5883\uff0c\u540c\u65f6\u4e5f\u63a2\u7d22\u53d1\u73b0\u65b0\u7684\u673a\u4f1a\uff0c\u5e76\u5728\u8fd9\u4e8c\u8005\u4e4b\u95f4\u4fdd\u6301\u5e73\u8861[20] \uff0c\u5982\u56fe2\u6240\u793a\u3002\u5728\u52a8\u7269\u76f8\u5173\u7684\u6587\u732e\u4e2d\uff0c\u8fd9\u88ab\u79f0\u4e3a\u201c\u89c5\u98df\u884c\u4e3a<\/strong>\u201d<\/span>\uff08foraging behavior\uff09<\/span>\u3002<\/span><\/section>\n

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\u56fe2. \u89c5\u98df\u884c\u4e3a\u662f\u4e16\u754c\u5404\u5730\u4eba\u7c7b\u91d1\u878d\u6a21\u5f0f\u7684\u7279\u5f81\u3002\u4e0a\u56fe\u663e\u793a\u4e86\u4e00\u4e2a\u4eba\u5728\u4e00\u4e2a\u6708\u5185\u7684\u4fe1\u7528\u5361\u8d2d\u7269\u5730\u70b9\u3002\u5706\u5708\u5927\u5c0f\u4e0e\u8d2d\u4e70\u9891\u7387\u6210\u6b63\u6bd4\uff0c\u7bad\u5934\u8868\u793a\u8d2d\u4e70\u5730\u70b9\u4e4b\u95f4\u8f6c\u6362\u7684\u53ef\u80fd\u6027[3]\u3002\u901a\u5e38\u4eba\u4eec\u5728\u7ef4\u6301\u4e60\u60ef\uff08\u5927\u5708\u5b50\u548c\u7bad\u5934\uff09\u548c\u63a2\u7d22\uff08\u5c0f\u5708\u5b50\u548c\u7bad\u5934\uff09\u4e4b\u95f4\u4fdd\u6301\u5e73\u8861\u3002<\/span>
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\u56fe2\u5c55\u793a\u4e86\u7f8e\u56fd1\u4ebf\u4eba\u7684\u4fe1\u7528\u5361\u6570\u636e\u3002\u5927\u591a\u6570\u4eba\u7684\u8d2d\u4e70\u884c\u4e3a\u662f\u4e60\u60ef\u6027\u7684\uff0c\u53d1\u751f\u5728\u5c11\u6570\u51e0\u4e2a\u5730\u65b9<\/span>\uff08\u5927\u5708\u5b50\uff09<\/span>\uff0c\u5e76\u4e14\u662f\u9ad8\u5ea6\u53ef\u9884\u6d4b\u7684\u3002\u7136\u800c\u6bcf\u5468\u6709\u4e00\u5230\u4e24\u5929\uff0c\u4eba\u4eec\u4f1a\u6253\u7834\u4e60\u60ef\uff0c\u53bb\u63a2\u7d22\u65b0\u7684\u5730\u65b9\uff0c\u8fd9\u4e9b\u8d2d\u4e70\u884c\u4e3a\u5219\u662f\u9ad8\u5ea6\u4e0d\u53ef\u9884\u6d4b\u7684\u3002\u800c\u793e\u533a\u4e2d\u7684\u63a2\u7d22\u6027\u884c\u4e3a\u8d8a\u591a\uff0c\u7ecf\u6d4e\u589e\u957f\u5c31\u4f1a\u8d8a\u5feb\u3002<\/span><\/section>\n
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\u6b64\u5916\uff0c\u90a3\u4e9b\u6ca1\u6709\u8868\u73b0\u51fa\u8fd9\u79cd\u884c\u4e3a\u6a21\u5f0f\u7684\u4eba\uff0c\u901a\u5e38\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\u5904\u4e8e\u751f\u75c5\u6216\u8005\u538b\u529b\u72b6\u6001\u3002\u56e0\u6b64\uff0c\u8fd9\u79cd\u884c\u4e3a\u6a21\u5f0f\u8fd8\u80fd\u4f5c\u4e3a\u4e00\u4e2a\u4eba\u7684\u751f\u6d3b\u662f\u5426\u5065\u5eb7\u7684\u6307\u6807[4]\u3002\u7f8e\u56fd\u6700\u5927\u7684\u533b\u7597\u670d\u52a1\u4e4b\u4e00\u6b63\u5728\u5229\u7528\u8fd9\u79cd\u65b9\u6cd5\u6765\u8ddf\u8e2a\u9ad8\u5371\u60a3\u8005\u7684\u5065\u5eb7\u72b6\u51b5\u3002\u751a\u81f3\u8fd8\u53ef\u4ee5\u4f7f\u7528\u8fd9\u79cd\u6a21\u5f0f\u6765\u51c6\u786e\u9884\u6d4b\u4e00\u4e2a\u4eba\u662f\u5426\u6709\u8d22\u52a1\u95ee\u9898\uff0c\u5e76\u80fd\u63d0\u524d\u4e09\u4e2a\u6708\u53d1\u51fa\u8b66\u544a[5]\u3002\u53e6\u5916\uff0c\u8fd8\u53ef\u4ee5\u6839\u636e\u8fd9\u79cd\u884c\u4e3a\u7684\u5bf9\u5076\u6a21\u5f0f\uff0c\u5bf9\u5546\u5e97\u7684\u8bbf\u95ee\u7f51\u7edc\u8fdb\u884c\u4f30\u8ba1\uff0c\u4ece\u5546\u5e97\u987e\u5ba2\u7684\u884c\u4e3a\u4e2d\uff0c\u53bb\u5224\u65ad\u5546\u5e97\u672a\u6765\u7684\u8d22\u52a1\u5065\u5eb7\u72b6\u51b5<\/span> [from Bloomberg April 15, 2019]<\/span>\u3002<\/span><\/section>\n
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\u4ece\u57ce\u5e02\u53d1\u5c55\u7684\u89d2\u5ea6\uff0c\u5982\u679c\u4e00\u4e2a\u57ce\u5e02\u7684\u57fa\u7840\u8bbe\u65bd\u4fc3\u8fdb\u4e86\u66f4\u591a\u6837\u5316\u7684\u7269\u7406\u4e92\u52a8\uff0c\u4ece\u957f\u671f\u6765\u770b\uff0c\u57ce\u5e02\u7684\u53d1\u5c55\u4e5f\u4f1a\u66f4\u597d\u3002\u8fd9\u4e00\u601d\u8def\u5efa\u7acb\u4e86\u4e2a\u4f53\u884c\u4e3a\u548c\u57ce\u5e02\u53d1\u5c55\u7684\u8054\u7cfb\uff0c\u53ef\u4ee5\u6781\u5176\u51c6\u786e\u5730\u9884\u6d4b\u6bcf\u5e73\u65b9\u516c\u91cc\u7684\u56fd\u5185\u751f\u4ea7\u603b\u503c<\/span>\uff08GDP\uff09<\/span>[6]\u3002\u8fd9\u8868\u660e\u6211\u4eec\u901a\u5e38\u8003\u8651\u7684\u56e0\u7d20\u2014\u2014\u6295\u8d44\u3001\u6559\u80b2\u7b49\u4e3a\u4e86\u63d0\u9ad8\u4e2a\u4f53\u6280\u80fd\u7684\u4e3e\u63aa\u2014\u2014\u53ef\u80fd\u4e0d\u662f\u5f71\u54cdGDP\u589e\u957f\u7684\u76f4\u63a5\u539f\u56e0\uff0c\u53ef\u80fd\u53ea\u662f\u56e0\u4e3a\u8fd9\u4e9b\u4e3e\u63aa\u5e2e\u52a9\u6216\u963b\u788d\u4e86\u4e2a\u4f53\u5bfb\u627e\u65b0\u673a\u4f1a\u3002<\/span><\/section>\n
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3. \u6295\u8d44\u673a\u4f1a\u2014\u2014\u6784\u5efa\u793e\u4ea4\u6865\u6881<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n

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\u901a\u8fc7\u4e24\u4e2a\u793e\u533aX\u548cY\u4e4b\u95f4\u7684\u7269\u7406\u8ddd\u79bb\uff0c\u6765\u91cf\u5316\u793e\u4f1a\u5b66\u4e60\u6f5c\u529b<\/span>\uff08potential for social learning\uff09<\/span>\u7684\u4e00\u79cd\u65b9\u6cd5\u662f\uff0c\u6d4b\u91cf\u6765\u81eaX\u793e\u533a\u7684\u4e2a\u4f53\u5728\u6765\u81eaY\u793e\u533a\u7684\u4e2a\u4f53\u9644\u8fd1\u505c\u7559\u7684\u53ef\u80fd\u6027\u3002\u53ef\u4ee5\u662f\u4e00\u4e2a\u793e\u533a\u7684\u4eba\u8bbf\u95ee\u53e6\u4e00\u4e2a\u793e\u533a\uff0c\u4e5f\u53ef\u4ee5\u53d1\u751f\u5728\u4e24\u4e2a\u793e\u533a\u7684\u4eba\u5171\u540c\u51fa\u73b0\u7684\u5730\u70b9<\/span>\uff08\u5de5\u4f5c\u6216\u8005\u8d2d\u7269\uff09<\/span>\u3002\u8fd9\u79cd\u8de8\u793e\u533a\u7684\u8fde\u63a5\uff0c\u5c31\u662f\u6211\u4eec\u8fd9\u91cc\u6240\u8bf4\u7684\u201c\u793e\u4ea4\u6865\u6881\u201d\u3002<\/span><\/section>\n
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\u4e30\u5bcc\u7684\u793e\u4ea4\u6865\u6881\u8fde\u63a5\u6210\u7684\u7fa4\u4f53\u8fd8\u53ef\u4ee5\u5f62\u6210\u5f53\u5730\u6587\u5316\u3002\u901a\u8fc7\u4e86\u89e3\u4e00\u4e2a\u4eba\u7ecf\u5e38\u53bb\u7684\u5730\u65b9\uff0c\u4f60\u5c31\u53ef\u4ee5\u4e86\u89e3\u4ed6\u4eec\u7684\u559c\u597d\u548c\u884c\u4e3a\u3002\u601d\u60f3\u548c\u884c\u4e3a\u503e\u5411\u4e5f\u53ef\u4ee5\u5feb\u901f\u5728\u8fd9\u4e2a\u793e\u533a\u96c6\u7fa4\u5185\u4f20\u64ad\uff0c\u5982\u4e00\u4e9b\u65f6\u5c1a\u6f6e\u6d41\u3001\u4e00\u79cd\u653f\u6cbb\u89c2\u70b9\u7b49\u3002\u6bcf\u4e2a\u793e\u533a\u5185\u90fd\u62e5\u6709\u5404\u81ea\u7684\u4fe1\u606f\u6216\u8005\u673a\u4f1a\uff0c\u56e0\u6b64\u793e\u533a\u4e4b\u95f4\u7684\u4e92\u52a8\u53ef\u4ee5\u589e\u52a0\u4eba\u4eec\u83b7\u5f97\u751f\u4ea7\u6d3b\u52a8\u3001\u7ecf\u6d4e\u589e\u957f\u548c\u601d\u60f3\u6240\u9700\u7684\u673a\u4f1a\u3002<\/span><\/section>\n
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\u793e\u4ea4\u6865\u6881\u7684\u7ed3\u6784\u901a\u5e38\u6bd4\u4eba\u53e3\u7edf\u8ba1\u5b66\u5c5e\u6027\u66f4\u80fd\u9884\u6d4b\u7ecf\u6d4e\u7ed3\u679c\uff0c\u56e0\u4e3a\u793e\u4ea4\u6865\u6881\u662f\u4eba\u4eec\u76f8\u4e92\u5f71\u54cd\u3001\u53d1\u73b0\u65b0\u521b\u65b0\u548c\u673a\u4f1a\u7684\u4e3b\u8981\u6e20\u9053<\/span><\/strong>\u3002\u88681\u7684\u7ed3\u679c\u5c55\u793a\u4e86\uff0c\u793e\u4ea4\u6865\u6881\u7ed3\u6784\u5728\u9884\u6d4b\u4eba\u53e3\u884c\u4e3a\u65b9\u9762\u7684\u51c6\u786e\u5ea6\uff0c\u6bd4\u4f20\u7edf\u7684\u4eba\u53e3\u7edf\u8ba1\u6570\u636e\u8981\u597d3\u500d[7]\u3002<\/span><\/section>\n
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\u88681. \u793e\u4ea4\u6865\u6881\u2014\u2014\u90bb\u5c45\u4e4b\u95f4\u7684\u7269\u7406\u4ea4\u4e92\u6a21\u5f0f\uff0c\u7528\u6765\u9884\u6d4b\u8d2d\u4e70\u548c\u7ecf\u6d4e\u51b3\u7b56\u6bd4\u4f20\u7edf\u7684\u4eba\u53e3\u7edf\u8ba1\u8d44\u6599\u597d3\u500d [7]<\/span><\/p>\n

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\u8fd8\u6709\u4e00\u4e9b\u5b9e\u8bc1\u7814\u7a76\u8fdb\u4e00\u6b65\u8bc1\u5b9e\uff0c\u4e0d\u540c\u793e\u533a\u4e4b\u95f4\u7684\u878d\u5408\u4f1a\u5f3a\u70c8\u5f71\u54cd\u521b\u65b0\u548c\u7ecf\u6d4e\u589e\u957f\u7684\u901f\u5ea6<\/strong>\u3002\u7814\u7a76[8]\u901a\u8fc7\u5bf9\u4e2d\u56fd3000\u591a\u5bb6\u521d\u521b\u4f01\u4e1a\u7684\u8c03\u67e5\uff0c\u8ba4\u4e3a\u6587\u5316\u591a\u6837\u6027\u662f\u521b\u4e1a\u516c\u53f8\u6210\u529f\u542f\u52a8\u548c\u878d\u8d44\u7684\u6700\u5927\u56e0\u7d20\uff0c\u800c\u884c\u4e1a\u7ecf\u9a8c\u591a\u6837\u6027\u662f\u8fd9\u4e9b\u521b\u4e1a\u516c\u53f8\u540e\u7eed\u6210\u957f\u7684\u6700\u91cd\u8981\u56e0\u7d20\u3002\u7814\u7a76[9]\u5173\u6ce8\u7684\u662f\u9ad8\u901f\u94c1\u8def\u57fa\u7840\u8bbe\u65bd\u7684\u6295\u8d44\u4e0e\u4e13\u4e1a\u6027\u516c\u53f8\u521b\u5efa\u7387\u7684\u56e0\u679c\u5173\u7cfb\u3002\u53d1\u73b0\u62e5\u6709\u65b0\u7684\u94c1\u8def\u8fde\u63a5\u7684\u57ce\u5e02\uff0c\u516c\u53f8\u521b\u5efa\u7684\u901f\u5ea6\u4f1a\u589e\u52a050%\u3002\u53e6\u5916\uff0c\u5bf9\u4e8e\u7f8e\u56fd\u3001\u4e9a\u6d32\u548c\u6b27\u6d32\u6765\u8bf4\uff0c\u540c\u6837\u53d1\u73b0\u793e\u4ea4\u6865\u6881\u7684\u591a\u6837\u6027\u80fd\u591f\u5f88\u597d\u5730\u9884\u6d4bGDP\u7684\u589e\u957f[10]<\/span>\uff08\u5982\u56fe\uff09<\/span>\u3002<\/span><\/section>\n
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4. \u53d1\u73b0\u65b0\u673a\u4f1a\u7684\u4f18\u5316\u7b97\u6cd5<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u4e0a\u8ff0\u7684\u7814\u7a76\u8868\u660e\uff0c\u4f18\u5316\u793e\u4f1a\u7ed3\u6784\uff0c\u4f7f\u5176\u6709\u5229\u4e8e\u65b0\u601d\u60f3\u548c\u65b0\u673a\u4f1a\u7684\u6d41\u52a8\u662f\u7ecf\u6d4e\u53d1\u5c55\u7684\u4e00\u4e2a\u91cd\u8981\u65b9\u5411\u3002\u5047\u8bbe\u5bf9\u65b0\u673a\u4f1a\u548c\u65b0\u601d\u60f3\u7684\u63a2\u7d22\u662f\u53d1\u5c55\u7684\u6838\u5fc3\uff0c\u90a3\u4e48\u6211\u4eec\u5e94\u8be5\u95ee\uff0c\u4eba\u7c7b\u5982\u4f55\u6743\u8861\u63a2\u7d22\u65b0\u673a\u4f1a\u7684\u6210\u672c\u4e0e\u6295\u8d44\u719f\u6089\u673a\u4f1a\u7684\u6210\u672c<\/strong>\u3002\u4e3a\u4e86\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\uff0c\u4f5c\u8005\u8f6c\u5411\u4e00\u4e2a\u66f4\u7b80\u5355\u7684\u4f8b\u5b50\uff0c\u5373\u4eba\u4eec\u5982\u4f55\u5728\u91d1\u878d\u6295\u8d44\u4e2d\u8fdb\u884c\u8fd9\u79cd\u6743\u8861\u3002<\/span><\/section>\n
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\u4f7f\u7528\u6c64\u666e\u68ee\u62bd\u6837\u7b97\u6cd5<\/span>\uff08Thompson sampling\uff09<\/span>\u8ba9\u6bcf\u4e2a\u4e2a\u4f53\u5bfb\u627e\u6700\u5927\u5316\u8d22\u52a1\u56de\u62a5\u7684\u7b56\u7565\uff0c\u8fd9\u7c7b\u65b9\u6cd5\u7684\u6838\u5fc3\u601d\u60f3\u662f\uff0c\u51b3\u7b56\u8005\u9762\u5bf9\u5404\u79cd\u5404\u6837\u7684\u53ef\u9009\u884c\u4e3a\uff0c\u4e14\u6bcf\u4e00\u79cd\u884c\u4e3a\u7684\u6c47\u62a5\u90fd\u662f\u672a\u77e5\u7684\uff0c\u901a\u8fc7\u6700\u5c0f\u5316\u6295\u8d44\u540e\u6094\u6765\u4f18\u5316\u65b0\u673a\u4f1a\u7684\u51b3\u7b56\u3002\u800c\u5728\u793e\u4f1a\u73af\u5883\u4e2d\uff0c\u901a\u8fc7\u89c2\u5bdf\u7f51\u7edc\u4e2d\u5176\u4ed6\u6210\u5458\u7684\u6536\u76ca\uff0c\u8fd9\u88ab\u79f0\u4e3a\u5206\u5e03\u6c64\u666e\u68ee\u62bd\u6837<\/span>\uff08distributed Thompson sampling\uff09<\/span>\u3002\u8fd9\u79cd\u793e\u4f1a\u5b66\u4e60\u6781\u5927\u5730\u63d0\u9ad8\u4e86\u6574\u4f53\u7684\u8868\u73b0\uff0c\u5e76\u51cf\u5c11\u53c2\u4e0e\u8005\u7684\u8ba4\u77e5\u8d1f\u8377\u3002\u56fe6\u5c55\u793a\u4e86\u5728\u771f\u5b9e\u7684\u4ea4\u6613\u5e73\u53f0\u4e0a\u5206\u6790\u7ea6580\u4e07\u7b14\u4ea4\u6613\u5458\u7684\u4ea4\u6613\uff0c\u53d1\u73b0\u8868\u73b0\u6700\u597d\u7684\u7fa4\u4f53\u8fd1\u4f3c\u4e8e\u5206\u5e03\u5f0f\u6c64\u666e\u68ee\u62bd\u6837\u7b56\u7565[11]\u3002<\/span><\/section>\n

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\u56fe4. \u793e\u4ea4\u4ea4\u6613\uff1a(a) \u91d1\u878d\u4ea4\u6613\u5458\u4f7f\u7528\u6700\u8fd1\u7684\u8868\u73b0\u6765\u505a\u51b3\u5b9a\uff0c\u4f46 (b) \u662f\u901a\u8fc7\u4f7f\u7528\u6d41\u884c\u4fe1\u53f7\u4f5c\u4e3a\u201c\u4ea4\u6613\u662f\u597d\u7684\u201d\u5148\u9a8c\u6982\u7387\u6765\u8c03\u8282\u7684\uff0c\u8fd9\u79cd\u7b56\u7565\u88ab\u79f0\u4e3a\u5206\u5e03\u5f0f\u6c64\u666e\u68ee\u62bd\u6837\u3002\u4e0e\u4e2a\u4eba\u4ea4\u6613\u76f8\u6bd4\uff0c\u4f7f\u7528\u8fd9\u79cd\u7b56\u7565\u53ef\u4ee5\u4ea7\u751f\u66f4\u597d\u7684\u6295\u8d44\u56de\u62a5 [11]<\/span><\/p>\n

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\u7531\u4e8e\u65e0\u5904\u4e0d\u5728\u7684\u8ba1\u7b97\u4f7f\u5f97\u6570\u636e\u6307\u6570\u589e\u957f\uff0c\u5f53\u4eca\u7684\u6570\u636e\u751f\u6001\u6b63\u5728\u53d1\u751f\u53d8\u5316\u3002\u5a92\u4f53\u5bf9\u7f51\u7edc\u5b89\u5168\u6f0f\u6597\u548c\u60c5\u62a5\u4e11\u95fb\u7684\u62a5\u9053\u589e\u591a\uff0c\u4eba\u4eec\u5bf9\u4e2a\u4eba\u6570\u636e\u7684\u5b89\u5168\u4ea7\u751f\u4e86\u62c5\u5fe7\u3002\u6211\u4eec\u9700\u8981\u4e00\u4e2a\u201c\u6570\u636e\u65b0\u653f\u201d<\/span>\uff08new deal on data\uff09<\/span>\uff0c\u5c06\u5b89\u5168\u95ee\u9898\u548c\u900f\u660e\u5ea6\u3001\u5784\u65ad\u4e0e\u9690\u79c1\u95ee\u9898\u76f8\u5339\u914d\uff0c\u5e76\u5c06\u5176\u8bbe\u8ba1\u4e3a\u6240\u6709\u6570\u636e\u9a71\u52a8\u670d\u52a1\u7684\u6838\u5fc3\u3002<\/span><\/section>\n
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\u5b9e\u73b0\u53ef\u4fe1\u4efb\u7684\u6570\u636e\u67b6\u6784\uff0c\u5173\u952e\u662f\u521b\u5efa\u80fd\u591f\u8ba4\u771f\u5e94\u5bf9\u9690\u79c1\u3001\u6570\u636e\u6240\u6709\u6743\u3001\u6570\u636e\u8bc1\u5238\u5316\u548c\u7f51\u7edc\u5b89\u5168\u6311\u6218\u7684\u7cfb\u7edf\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u4f5c\u8005\u56e2\u961f\u5f00\u53d1\u4e86\u5f00\u653e\u7b97\u6cd5\u4f53\u7cfb\u7ed3\u6784<\/span>\uff08Open Algorithms\uff0c\u4e0b\u7b80\u79f0OPAL\uff09<\/span>\uff0c\u4ee5\u53ca\u57fa\u4e8eOPAL\u6784\u5efa\u7684\u9ad8\u5b89\u5168\u6027\u673a\u5668\u5b66\u4e60\u65b9\u6cd5[12]\u3002<\/span><\/section>\n
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\u5bf9\u4e8e\u4e00\u4e2a\u7a33\u5b9a\u7684\u5e02\u573a\u4f53\u7cfb\uff0c\u7b80\u5355\u7684\u4eba\u6027\u6a21\u578b\u53ef\u4ee5\u8fd0\u8f6c\u5f97\u4e0d\u9519\u3002\u4f46\u5bf9\u4e8e\u590d\u6742\u7684\u73af\u5883\u6765\u8bf4\uff0c\u5c24\u5176\u5f53\u8bd5\u56fe\u523b\u753b\u589e\u957f\u548c\u521b\u65b0\u7684\u65f6\u5019\uff0c\u5982\u679c\u7f3a\u4e4f\u5bf9\u4ea4\u4e92\u7684\u523b\u753b\uff0c\u6a21\u578b\u5c31\u975e\u5e38\u5bb9\u6613\u5931\u6548\u3002<\/span><\/section>\n

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[1]E. Jahani, G. Saint-Jacques, P. Sunds\u00f8y, J. Bjelland, E. Moro, and A. Pentland, Differential network effects on economic outcomes: A structural perspective, presented at Int. Conf. Social Informatics, Oxford, UK, 2017, pp. 41\u201350<\/span><\/p>\n

[2]R. S. Burt, Structural Holes: The Social Structure of Competition. Cambridge, MA, USA: Harvard University Press, 1992<\/span><\/p>\n

[3]C. Krumme, A. Llorente, M. Cebrian, A. Pentland, and E. Moro, The predictability of consumer visitation patterns, Scientific Reports, vol. 3, p. 1645, 2013<\/span><\/p>\n

[4]A. Madan, M. Cebrian, S. Moturu, K. Farrahi, and A. Pentland, Sensing the \u201chealth state\u201d of a community, IEEE Pervasive Computing, vol. 11, no. 4, pp. 36\u201345, 2012.<\/span><\/p>\n

[5]V. K. Singh, B. Bozkaya, and A. Pentland, Money walks: Implicit mobility behavior and financial well-being, PLoS One, vol. 10, no. 8, p. e0136628, 2015<\/span><\/p>\n

[6] W. Pan, G. Ghoshal, C. Krumme, M. Cebrian, and A. Pentland, Urban characteristics attributable to density-driven tie formation, Nature Communications, vol. 4, p. 1961, 2013.<\/span><\/p>\n

[7]X. W. Dong, Y. Suhara, B. Bozkaya, V. K. Singh, B. Lepri, and A. Pentland, Social bridges in urban purchase behavior, ACMTransactions on Intelligent Systems and Technology, vol. 9, no. 3, p. 33, 2017<\/span><\/p>\n

[8]X. Yuan, Y. Qiu, Y. Wei, and S. Y. Liu, Research on the relationship between entrepreneurship diversity and performance of regional innovation networks\u2014Micro data analysis based on 3255 Chinese incubators, Theory & Practice, no. 9, pp. 152\u2013155, 2017.<\/span><\/p>\n

[9]X. Yuan, Y. Qiu, Y. Wei, and S. Y. Liu, Research on the relationship between entrepreneurship diversity and performance of regional innovation networks\u2014Micro data analysis based on 3255 Chinese incubators, Theory & Practice, no. 9, pp. 152\u2013155, 2017.<\/span><\/p>\n

[10] S. K. Chong, M. Bahrami, H. Chen, S. Balcisoy, B. Bozkaya, and A. Pentland, Economic outcomes predicted by diversity in cities, EPJ Data Science, vol. 9, p. 17, 2020.<\/span><\/p>\n

[11]P. M. Krafft, J. Zheng, W. Pan, N. Della Penna, Y. Altshuler, E. Shmueli, J. B. Tenenbaum, and A. Pentland, Human collective intelligence as distributed Bayesian inference, arXiv preprint arXiv: 1608.01987, 2016<\/span><\/p>\n

[12]T. Hardjono, D. L. Shrier, and A. Pentland, Trusted Data. Cambridge, MA, USA: MIT Press, 2019.<\/span><\/p>\n


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\u8bba<\/span>\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Diversity of Idea Flows and Economic Growth<\/span><\/p>\n

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https:\/\/ieeexplore.ieee.org\/document\/9241510<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u65b0\u4e00\u5b63\u3010\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u8bfb\u4e66\u4f1a<\/a>\u3011\u7531\u6e05\u534e\u5927\u5b66\u7f57\u5bb6\u5fb7\u6559\u6388\u9886\u8854\uff0c\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u3001\u5bc6\u6b47\u6839\u5927\u5b66\u3001\u6e05\u534e\u5927\u5b66\u3001\u5339\u5179\u5821\u5927\u5b66\u7684\u591a\u4f4d\u535a\u58eb\u751f\u8054\u5408\u53d1\u8d77\uff0c\u81ea2022\u5e746\u670818\u65e5\u5f00\u59cb\uff0c\u6301\u7eed10-12\u5468\u3002\u672c\u5b63\u8bfb\u4e66\u5c06\u805a\u7126\u8ba8\u8bbaGraph\u3001Embedding\u3001NLP\u3001Modeling\u3001Data collection\u7b49\u65b9\u6cd5\u53ca\u5176\u4e0e\u793e\u4f1a\u79d1\u5b66\u95ee\u9898\u7684\u7ed3\u5408\uff0c\u5e76\u9488\u5bf9\u6027\u8ba8\u8bba\u9884\u6d4b\u6027\u4e0e\u89e3\u91ca\u6027\u3001\u65b0\u51a0\u75ab\u60c5\u7814\u7a76\u7b49\u8bfe\u9898\u3002\u8bfb\u4e66\u4f1a\u8be6\u60c5\u53ca\u53c2\u4e0e\u65b9\u5f0f\u89c1\u6587\u672b\uff0c\u6b22\u8fce\u4ece\u4e8b\u76f8\u5173\u7814\u7a76\u6216\u5bf9\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u611f\u5174\u8da3\u7684\u670b\u53cb\u53c2\u4e0e\u3002<\/span><\/section>\n


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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span>
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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n