{"id":22830,"date":"2020-12-20T13:13:06","date_gmt":"2020-12-20T05:13:06","guid":{"rendered":"https:\/\/swarma.org\/?p=22830"},"modified":"2020-12-20T13:13:06","modified_gmt":"2020-12-20T05:13:06","slug":"%e7%bd%91%e7%bb%9c%e9%87%8d%e6%9e%84%e6%9c%80%e6%96%b0%e7%bb%bc%e8%bf%b0%e6%8e%a8%e8%8d%90%ef%bc%9a%e4%bb%8e%e5%ae%8f%e8%a7%82%e5%b0%ba%e5%ba%a6%e5%88%b0%e5%be%ae%e8%a7%82%e5%b0%ba%e5%ba%a6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=22830","title":{"rendered":"\u7f51\u7edc\u91cd\u6784\u6700\u65b0\u7efc\u8ff0\u63a8\u8350\uff1a\u4ece\u5b8f\u89c2\u5c3a\u5ea6\u5230\u5fae\u89c2\u5c3a\u5ea6"},"content":{"rendered":"
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\u6700\u8fd1\u4e00\u7bc7\u6302\u4e0aarXiv\u4e0a\u7684\u7f51\u7edc\u91cd\u6784\u9886\u57df\u7efc\u8ff0\u6587\u7ae0\u300aReconstructing networks\u300b\u5c06\u7f51\u7edc\u91cd\u6784\u9886\u57df\u7684\u7814\u7a76\u5212\u5206\u4e3a\u5b8f\u89c2\u3001\u4ecb\u89c2\u548c\u5fae\u89c2\u4e09\u90e8\u5206\uff0c\u5bf9\u4e0d\u540c\u5c3a\u5ea6\u7684\u7f51\u7edc\u91cd\u6784\u95ee\u9898\u53ca\u7814\u7a76\u8fdb\u5c55\u8fdb\u884c\u4e86\u8be6\u5c3d\u7684\u4ecb\u7ecd\u3002<\/span><\/section>\n

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\u4e3b\u6d41\u7684\u5b8f\u89c2\u5c3a\u5ea6\u7f51\u7edc\u91cd\u6784\u6a21\u578b\u6709 2011 \u5e74\u63d0\u51fa\u7684 Directed Weighted Configuration Model[1]\u548c 2018 \u5e74\u63d0\u51fa\u7684 Maximum-Entropy Capital Asset Pricing Model<\/span>\uff08MECAPM\uff09 <\/span>[2]\u3002\u5728\u63cf\u8ff0\u7f51\u7edc\u6027\u8d28\u7684\u4f17\u591a\u53c2\u6570\u4e2d\uff0cStrengths<\/span>\uff08\u8282\u70b9\u6240\u6709\u8fde\u8fb9\u7684\u6743\u91cd\u548c\uff09<\/span>\u53d1\u6325\u4e86\u5f88\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u56e0\u4e3a\u5b83\u662f\u5f88\u591a\u5b9e\u9645\u7f51\u7edc\u80fd\u63d0\u4f9b\u7684\u552f\u4e00\u4fe1\u606f\u3002\u9057\u61be\u7684\u662f\u5728\u4ec5\u63d0\u4f9b Strengths \u4fe1\u606f\u7684\u60c5\u51b5\u4e0b\uff0c\u4ee5\u4e0a\u4e24\u79cd\u65b9\u6cd5\u90fd\u65e0\u6cd5\u5f88\u597d\u5730\u91cd\u6784\u7f51\u7edc\u5b8f\u89c2\u7ed3\u6784\u30022014 \u5e74\u63d0\u51fa\u7684 Enhanced Configuration Model<\/span>\uff08ECM\uff09<\/span>[3]\u5219\u53ef\u4ee5\u5f88\u597d\u5730\u89e3\u51b3\u8be5\u95ee\u9898\u3002\u4e0b\u56fe\u4e3a ECM \u5728\u5b8f\u89c2\u5c3a\u5ea6\u7f51\u7edc\u91cd\u6784\u4e2d\u7684\u8868\u73b0\u3002<\/span> <\/span><\/section>\n
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\u56fe1. \u5df2\u77e5 srengths \u548c\u5ea6\u7684\u60c5\u51b5\u4e0b\uff0cECM \u6a21\u578b\u7684\u8868\u73b0\u3002\u6bcf\u5f20\u5b50\u56fe\u90fd\u5c55\u793a\u4e86\u9488\u5bf9\u67d0\u4e9b\u7f51\u7edc\u5b9e\u9645\u8282\u70b9\u7279\u5b9a\u7f51\u7edc\u5c5e\u6027\u7684\u91cd\u6784\u7ed3\u679c\uff08Y\u8f74\uff09\u4e0e\u7406\u8bba\u503c\uff08X\u8f74\uff09\u5de6\u4e0a\uff1a\u6700\u8fd1\u90bb\u5c45\u5e73\u5747\u5ea6\uff08average nearest neighbors degree\uff09\uff0c\u53f3\u4e0a\uff1a\u96c6\u805a\u7cfb\u6570(clustering coefficient) \uff0c\u5de6\u4e0b\uff1a\u6700\u8fd1\u90bb\u5c45\u5e73\u5747\u5f3a\u5ea6\uff08average nearest neighbors strength\uff09 \uff0c\u53f3\u4e0b\uff1a\u52a0\u6743\u805a\u7c7b\u7cfb\u6570\uff08weighted clustering coefficient\uff09[3]<\/span><\/p>\n

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2.2 \u6838\u5fc3-\u8fb9\u7f18\u7ed3\u6784<\/span><\/strong><\/span><\/section>\n<\/h2>\n

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\u5982\u56fe 4 \u6240\u793a\uff0c\u6ee1\u8db3\u6838\u5fc3-\u8fb9\u7f18\u7ed3\u6784\u7684\u7f51\u7edc\u7531\u5927\u91cf\u7d27\u5bc6\u94fe\u63a5\u7684\u6838\u5fc3\u8282\u70b9\u548c\u7a00\u758f\u8fde\u63a5\u7684\u5916\u56f4\u8282\u70b9\u7ec4\u6210\uff0c\u8be5\u7c7b\u578b\u7684\u7f51\u7edc\u5728\u7ecf\u6d4e\u5b66\u3001\u793e\u4f1a\u5b66\u3001\u795e\u7ecf\u79d1\u5b66\u7b49\u9886\u57df\u5e7f\u6cdb\u51fa\u73b0\u3002<\/span><\/section>\n


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\u56fe4. \u6838\u5fc3-\u8fb9\u7f18\u7ed3\u6784\u7f51\u7edc\u793a\u4f8b \u5de6\u56fe\u4e3a\u6838\u5fc3-\u8fb9\u7f18\u7ed3\u6784\u7f51\u7edc\u4e2d\u7684\u8282\u70b9\u7c7b\u578b\uff0c\u53f3\u56fe\u4e3a\u4e25\u683c\u7b26\u5408\u6838\u5fc3\u8fb9\u7f18\u7ed3\u6784\u7684\u7f51\u7edc\u7684\u90bb\u63a5\u77e9\u9635[6]<\/span><\/p>\n

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\u7b2c\u4e00\u4e2a\u4e0d\u4ee5\u7f51\u7edc\u4e00\u5b9a\u5177\u6709\u6838\u5fc3-\u8fb9\u7f18\u7ed3\u6784\u4e3a\u524d\u63d0\u7684\u68c0\u6d4b\u7b97\u6cd5\u7531 Holme \u5728 2005 \u5e74\u63d0\u51fa[15]\uff0c\u8be5\u7b97\u6cd5\u4e3b\u8981\u57fa\u4e8e\u7f51\u7edc\u7684\u7d27\u5bc6\u4e2d\u5fc3\u6027\u30022013 \u5e74\u7531 Della Rossa \u7b49\u4eba\u63d0\u51fa\u7684\u57fa\u4e8e\u6807\u51c6\u968f\u673a\u6e38\u8d70\u7684\u7b97\u6cd5\u5c06\u68c0\u6d4b\u8303\u56f4\u6269\u5145\u5230\u4e86\u52a0\u6743\u7f51\u7edc[16]\u3002\u5728\u6700\u8fd1\u7684\u7814\u7a76\u4e2d\uff0cvan Lidth de Jeude \u7b49\u4eba\u53d7\u8d85\u51e0\u4f55\u5206\u5e03\u4e2d\u7684 p \u503c\u542f\u53d1\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u6838\u5fc3-\u8fb9\u7f18\u68c0\u6d4b\u57fa\u51c6\u6a21\u578b[17]\u3002<\/span><\/section>\n

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\u5fae\u89c2\u5c3a\u5ea6\u7684\u7f51\u7edc\u91cd\u6784\u91cd\u70b9\u5728\u4e8e\u9884\u6d4b\u7f51\u7edc\u4e2d\u7f3a\u5931\u7684\u5177\u4f53\u8fde\u8fb9\uff0c\u5373\u94fe\u8def\u9884\u6d4b\u95ee\u9898<\/span><\/strong>\u3002\u8be5\u95ee\u9898\u5bf9\u4e8e\u591a\u79cd\u5177\u4f53\u7f51\u7edc\u90fd\u6709\u91cd\u8981\u4ef7\u503c\u3002\u4ee5\u751f\u7269\u9886\u57df\u4e3a\u4f8b\uff0c\u5bf9\u4e8e\u98df\u7269\u7f51\u3001\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\u7f51\u548c\u4ee3\u8c22\u7f51\u7edc\u800c\u8a00\uff0c\u901a\u8fc7\u5b9e\u9a8c\u6765\u5224\u65ad\u8282\u70b9\u95f4\u662f\u5426\u5b58\u5728\u8fde\u63a5\u9700\u8981\u4ed8\u51fa\u5de8\u5927\u7684\u7ecf\u6d4e\u6210\u672c\u3002\u4e0e\u5176\u76f2\u76ee\u8fdb\u884c\u5b9e\u9a8c\uff0c\u4e0d\u5982\u5148\u901a\u8fc7\u94fe\u8def\u9884\u6d4b\u627e\u5230\u90a3\u4e9b\u6700\u6709\u53ef\u80fd\u5b58\u5728\u7684\u8fde\u8fb9\uff0c\u800c\u540e\u6709\u7684\u653e\u77e2\u5730\u8fdb\u884c\u8bd5\u9a8c\u3002<\/span>
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3.1 \u57fa\u4e8e\u76f8\u4f3c\u5ea6\u7684\u7b97\u6cd5<\/span><\/strong><\/section>\n

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\u57fa\u4e8e\u76f8\u4f3c\u5ea6\u7684\u7b97\u6cd5\u4e3a\u6bcf\u4e2a\u5f85\u9884\u6d4b\u7684\u8fde\u8fb9\u751f\u6210\u4e00\u4e2a\u5206\u6570\u6765\u8bc4\u4ef7\u5176\u8fde\u63a5\u8282\u70b9\u95f4\u7684\u76f8\u4f3c\u6027\u3002\u8be5\u5206\u6570\u53d6\u51b3\u4e8e\u8282\u70b9\u95f4\u5c5e\u6027\u7684\u5dee\u5f02\u6027\u3002\u4f9d\u7167\u6240\u7528\u8282\u70b9\u5c5e\u6027\u8fd8\u53ef\u4ee5\u5c06\u7b97\u6cd5\u5177\u4f53\u5206\u4e3a\u57fa\u4e8e\u5c40\u90e8\u3001\u534a\u5c40\u90e8\u548c\u5168\u5c40\u76f8\u4f3c\u6027\u7684\u7b97\u6cd5\u3002<\/span><\/section>\n
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\u5982\u56fe 5(a) \u6240\u793a\uff0c\u57fa\u4e8e\u5c40\u90e8\u76f8\u4f3c\u6027\u7684\u7b97\u6cd5\u901a\u5e38\u57fa\u4e8e\u793e\u4ea4\u7f51\u7edc\u5206\u6790\u4e2d\u7684\u5171\u540c\u90bb\u5c45\u89c2\u5ff5\uff0c\u5373\u5982\u679c\u4e24\u4e2a\u4eba\u7684\u5171\u540c\u670b\u53cb\u8d8a\u591a\uff0c\u4ed6\u4eec\u5f7c\u6b64\u8ba4\u8bc6\u7684\u53ef\u80fd\u6027\u5c31\u66f4\u5927\uff0c\u8be5\u539f\u7406\u88ab\u79f0\u4e3a\u4e09\u5143\u95ed\u5305<\/span>\uff08Triadic Closure Principle\uff09<\/span>\uff0c\u662f\u7f51\u7edc\u4e2d\u957f\u5ea6\u4e3a 2 \u7684\u8def\u5f84\u4ea7\u751f\u7684\u4e3b\u8981\u539f\u56e0\u3002\u534a\u5c40\u90e8\u76f8\u4f3c\u6027\u5219\u4e0e\u7f51\u7edc\u4e2d\u957f\u5ea6\u4e3a 3 \u7684\u8def\u5f84\u66f4\u4e3a\u76f8\u5173\uff0c\u4f8b\u5982\u5728\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\u7f51\u7edc\u4e2d\uff0c\u4e24\u4e2a\u7ed3\u6784\u76f8\u4f3c\u7684\u86cb\u767d\u8d28\u4e0d\u4f1a\u76f8\u4e92\u4f5c\u7528\u3002\u5982\u56fe 5(c) \u6240\u793a\uff0c\u5f53\u86cb\u767d\u8d28D\u4e0eY\u88ab\u5f88\u591a\u957f\u5ea6\u4e3a3\u7684\u8def\u5f84\u8fde\u63a5\u65f6\uff0c\u4e8c\u8005\u624d\u66f4\u6709\u53ef\u80fd\u4ea7\u751f\u4e00\u6761\u8fde\u8fb9\u3002<\/span><\/section>\n
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\u56fe5. \u793e\u4ea4\u7f51\u7edc\u4e0e\u86cb\u767d\u8d28\u7f51\u7edc\u4e2d\u7684\u94fe\u8def\u9884\u6d4b \u56fea\u4e3a\u793e\u4ea4\u7f51\u7edc\u4e2d\u8fde\u8fb9\u4ea7\u751f\u7684\u793a\u610f\u56fe\u3002\u56feb\u4e3a\u5728\u6ee1\u8db3\u4e09\u5143\u95ed\u5305\u539f\u7406\uff08Triadic Closure Principle\uff09\u7684\u7f51\u7edc\u6a21\u578b\u4e0b\u4e0d\u540c\u72b6\u6001\u7684\u8282\u70b9\u5bf9\u95f4\u4ea7\u751f\u8fde\u8fb9\u7684\u6982\u7387\u3002\u56fec\u4e3a\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\u4e2d\u8fde\u8fb9\u4ea7\u751f\u7684\u793a\u610f\u56fe\u3002\u56fed\u4e3a\u5728\u6ee1\u8db3\u56db\u5143\u95ed\u5305\u539f\u7406\uff08Quadrangular Closure Principle\uff09\u7684\u7f51\u7edc\u6a21\u578b\u4e0b\u4e0d\u540c\u72b6\u6001\u7684\u8282\u70b9\u5bf9\u95f4\u4ea7\u751f\u8fde\u8fb9\u7684\u6982\u7387\u3002[7]<\/span><\/p>\n

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3.2 \u57fa\u4e8e\u6a21\u578b\u7684\u7b97\u6cd5<\/span><\/strong><\/section>\n<\/h2>\n
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\u57fa\u4e8e\u6a21\u578b\u7684\u65b9\u6cd5\u6784\u5efa\u4e8e\u7f51\u7edc\u5177\u6709\u7279\u5b9a\u7ec4\u7ec7\u7ed3\u6784\u7684\u5047\u8bbe\u4e4b\u4e0a\uff0c\u5982\u56fe 6 \u6240\u793a\uff0c\u8be5\u7c7b\u7b97\u6cd5\u5e0c\u671b\u5f85\u9884\u6d4b\u7684\u8fde\u8fb9\u53ef\u4ee5\u5c3d\u53ef\u80fd\u597d\u5730\u5b8c\u5584\u7f51\u7edc\u6240\u5177\u5907\u7684\u7ed3\u6784\u3002<\/span><\/section>\n
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\u8fd9\u7bc7\u7efc\u8ff0\u4ece\u5b8f\u89c2\u3001\u4ecb\u89c2\u3001\u5fae\u89c2\u4e09\u4e2a\u89d2\u5ea6\u4ecb\u7ecd\u4e86\u7f51\u7edc\u91cd\u6784\u9886\u57df\u7684\u7814\u7a76\u95ee\u9898\u3001\u5e38\u89c1\u6a21\u578b\u53ca\u5e94\u7528\u573a\u666f\u3002\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u7f51\u7edc\u91cd\u6784\u9886\u57df\u5904\u4e8e\u5feb\u901f\u53d1\u5c55\u548c\u5b8c\u5584\u7684\u9636\u6bb5\uff0c\u6709\u5411\u52a0\u6743\u56fe\u4e0a\u7684\u94fe\u8def\u9884\u6d4b[11]\u3001\u5bf9\u4e8e\u8fde\u8fb9\u5177\u6709\u4fe1\u606f\u7684\u7f51\u7edc\u7684\u91cd\u6784[12]\u4ee5\u53ca\u65f6\u5e8f\u7f51\u7edc\u91cd\u6784[13]\u7b49\u7814\u7a76\u65b9\u5411\u6b63\u5728\u5feb\u901f\u53d1\u5c55\u3002<\/span><\/section>\n

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\u53c2\u8003\u8d44\u6599<\/span><\/strong><\/strong><\/span><\/section>\n

[1] Squartini, Tiziano and D. Garlaschelli. \u201cAnalytical maximum-likelihood method to detect patterns in real networks.\u201d New Journal of Physics 13 (2011): 083001.<\/span><\/p>\n

[2] Gangi, Domenico Di et al. \u201cAssessing Systemic Risk Due to Fire Sales Spillover Through Maximum Entropy Network Reconstruction.\u201d Regulation of Financial Institutions eJournal (2018): n. pag.<\/span><\/p>\n

[3] Mastrandrea, R. et al. \u201cEnhanced reconstruction of weighted networks from strengths and degrees.\u201d New Journal of Physics 16 (2014): 043022.<\/span><\/p>\n

[4] Cimini, G. et al. \u201cSystemic Risk Analysis on Reconstructed Economic and Financial Networks.\u201d Scientific Reports 5 (2015): n. pag.<\/span><\/p>\n

[5] Faskowitz, J. et al. \u201cWeighted Stochastic Block Models of the Human Connectome across the Life Span.\u201d Scientific Reports 8 (2018): n. pag.<\/span><\/p>\n

[6] Borgatti, S. and M. Everett. \u201cModels of core\/periphery structures.\u201d Soc. Networks 21 (2000): 375-395.<\/span><\/p>\n

[7] Kov\u00e1cs, Istv\u00e1n A. et al. \u201cNetwork-based prediction of protein interactions.\u201d Nature Communications 10 (2019): n. pag.<\/span><\/p>\n

[8] Clauset, A. et al. \u201cHierarchical structure and the prediction of missing links in networks.\u201d Nature 453 (2008): 98-101.<\/span><\/p>\n

[9] Larremore, D. et al. \u201cA Network Approach to Analyzing Highly Recombinant Malaria Parasite Genes.\u201d PLoS Computational Biology 9 (2013): n. pag.<\/span><\/p>\n

[10] Oikonomou, Panos and P. Cluzel. \u201cEffects of topology on network evolution.\u201d Nature Physics 2 (2006): 532-536.<\/span><\/p>\n

[11] Alon, U.. \u201cNetwork motifs: theory and experimental approaches.\u201d Nature Reviews Genetics 8 (2007): 450-461.<\/span><\/p>\n

[12] Leskovec, J. et al. \u201cPredicting positive and negative links in online social networks.\u201d WWW ’10 (2010).<\/span><\/p>\n

[13] Tylenda, Tomasz et al. \u201cTowards time-aware link prediction in evolving social networks.\u201d SNA-KDD ’09 (2009).<\/span><\/p>\n

[14] Squartini, Tiziano et al. \u201cEnhanced capital-asset pricing model for the reconstruction of bipartite financial networks.\u201d Physical review. E 96 3-1 (2017): 032315 .<\/span><\/p>\n

[15] Holme, P.. \u201cCore-periphery organization of complex networks.\u201d Physical review. E, Statistical, nonlinear, and soft matter physics 72 4 Pt 2 (2005): 046111 .<\/span><\/p>\n

[16] Rossa, F. et al. \u201cProfiling core-periphery network structure by random walkers.\u201d Scientific Reports 3 (2013): n. pag.<\/span><\/p>\n

[17] Jeude, J. V. L. D. et al. \u201cDetecting Core-Periphery Structures by Surprise.\u201d ArXiv abs\/1810.04717 (2018): n. pag.<\/span><\/p>\n


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\u96c6\u667a\u6591\u56fe\u9876\u520a\u8bba\u6587\u901f\u9012\u680f\u76ee\u4e0a\u7ebf\u4ee5\u6765\uff0c\u6301\u7eed\u6536\u5f55\u6765\u81eaNature\u3001Science<\/span>\u7b49\u9876\u520a\u7684\u6700\u65b0\u8bba\u6587\uff0c\u8ffd\u8e2a\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\u3002\u73b0\u5728\u6b63\u5f0f\u63a8\u51fa\u8ba2\u9605\u529f\u80fd\uff0c\u6bcf\u5468\u901a\u8fc7\u5fae\u4fe1\u670d\u52a1\u53f7\u300c\u96c6\u667a\u6591\u56fe\u300d\u63a8\u9001\u8bba\u6587\u4fe1\u606f\u3002\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801\u5373\u53ef\u4e00\u952e\u8ba2\u9605\uff1a<\/span>
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