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共作者网络的团体发现及结构研究 被引量:2

Research on the Structure and Community Detection of Co-author Network
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摘要 文章针对共作者网络,设计了一个发现其中合作团体的算法,该算法采用关联度作为共作者网络中节点之间的联系,并采用模块度作为划分团体的评价指标。以国内情报学领域的共作者网络为研究对象,通过实验验证,效果良好。 Aiming at the co-author network,this paper designs an algorithm for finding cooperative groups. The algorithm takes relational degree as the relations between the nodes of co-author network,and uses modularity as the evaluation index for dividing groups. Through the experimental verification,the paper finds that the algorithm performs well by using the co-author network in the field of intelligence studies in China as the research object.
作者 杨璐 温浩宇
出处 《情报理论与实践》 CSSCI 北大核心 2015年第10期80-84,共5页 Information Studies:Theory & Application
关键词 共作者网络 团体发现 模块度 co-author network community detection modularity
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  • 1MILGRAM S. The small world problem [ J ]. Psychology To- day, 1967, 2 (1):60-67.
  • 2COSTA L F, RODRIGUES F A, TRAVIESO G, et al. Char- acterization of complex networks: a survey of measurements [J]. Advances in Physics, 2007, 56 (1) : 167-242.
  • 3NEWMAN M E J. The structure and function of complex net- works [J]. SIAM Review, 2003, 45 (2): 167-256.
  • 4窦炳琳,李澍淞,张世永.基于结构的社会网络分析[J].计算机学报,2012,35(4):741-753. 被引量:58
  • 5WATFS D J, STROGATZ S H. Collective Dynamics of "Small-world" Networks [J]. Nature, 1998, 393 (6684): 440-442.
  • 6BACKSTROM L, HUTYENLOCHER D, KLEINBERG J, et al. Group formation in large social networks: membership, growth, and evolution [ C ] //Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Min- ing. ACM, 2006: 44-54.
  • 7NEWMAN M E J, GIRVAN M. Finding and evaluating com- munity structure in networks [ J ]. Physical Review E, 2004, 69 (2) : 026113.
  • 8CLAUSET A, NEWMAN M E J, MOORE C. Finding commu- nity structure in very large networks [J]. Physical Review E, 2004, 70 (6) : 066111.
  • 9GIRVAN M, NEWMAN M E J. Community structure in social and biological networks [ J ]. Proceedings of the National A- cademy of Sciences, 2002, 99 (12) : 7821-7826.
  • 10NEWMAN M E J. Fast algorithm for detecting community struc- ture in networks [ J ]. Physical Review E, 2004, 69 (6) : 066133.

二级参考文献60

  • 1胡海波,王林.幂律分布研究简史[J].物理,2005,34(12):889-896. 被引量:87
  • 2Watts D J, Strogatz SH. Collective dynamics of Small-World networks. Nature, 1998,393(6638):440-442.
  • 3Barabasi AL, Albert R. Emergence of scaling in random networks. Science, 1999,286(5439):509-512.
  • 4Barabasi AL, Albert R, Jeong H, Bianconi G. Power-Law distribution of the World Wide Web. Science, 2000,287(5461):2115a.
  • 5Albert R, Barabasi AL, Jeong H. The Internet's Achilles heel: Error and attack tolerance of complex networks. Nature, 2000, 406(2115):378-382.
  • 6Girvan M, Newman MEJ. Community structure in social and biological networks. Proc. of the National Academy of Science, 2002,9(12):7821-7826.
  • 7Guimera R, Amaral LAN. Functional cartography of complex metabolic networks. Nature, 2005,433(7028):895-900.
  • 8Palla G, Derenyi I, Farkas I, Vicsek T. Uncovering the overlapping community structures of complex networks in nature and society. Nature, 2005,435(7043):814-818.
  • 9Wilkinson DM, Huberman BA. A method for finding communities of related genes. Proc. of the National Academy of Science, 2004,101(Suppl.1):5241-5248.
  • 10Radicchi F, Castellano C, Cecconi F, Loreto V, Parisi D. Defining and identifying communities in networks. Proc. of the National Academy of Science, 2004,101 (9):2658-2663.

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