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新浪微博名人堂用户关系网络分析 被引量：1

A Research on Famous-User Network of Sina-Weibo
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摘要 以新浪微博名人堂用户所形成的用户关系网络为研究对象,利用复杂网络的分析方法对该网络的度分布、小世界现象、度相关性等多个方面进行了分析.研究结果表明:该网络在度分布上存在背离幂律分布的现象,网络有效直径较短,各节点度之间不存在明显的相关性、网络不具有层次性等特点. Aiming towards the user relation network oriented from the Famous-User of Sina-Weibo,many facets including the degree distribution,small-world phenomenon and degree correlation utilizing the complex network analysis algorithms has been studied.With experimental results showing for this network the existence of deviations from power-laws at the degree distribution level,the effective diameter being short,the nodes＇ degrees being irrelevant,with the non-hierarchical intrinsic nature proved.
作者 李永成 黄曙光 杨斌 郭浩
机构地区 解放军电子工程学院网络系
出处 《江西师范大学学报（自然科学版）》 CAS 北大核心 2013年第4期376-381,共6页 Journal of Jiangxi Normal University(Natural Science Edition)
基金 国家自然科学基金(61202337)资助项目
关键词 网络结构分析 名人堂网络 度相关性 network structure analysis famous-user network degree correlation
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献20

  • 1Benevenuto F, Magno G, Rodrigues T, et al. Detecting spammers on twitter [ C ]. Washington: IEEE Press ,2010.
  • 2BackstromL, Boldi P, Rosa M, et al. Four degrees of sepa-ration [ J/OL]. [ 2012-10-16 J. http: ///arxiv. org/abs/ 1111. 4570.
  • 3Jiang Jing, Wilson C, Wang Xiao, et al. Understanding la- tent interactions in online social networks [ EB/OL ]. [2012-10-17 ]. http: //conferences. sigcomm, org/imc/ 20 lO/papers/p369, pdf.
  • 4Java A, Song Xiaodan, Finin T, et al. Why we twitter: un- derstanding microblogging usage and communities [ EB/ OL ]. [ 2012-11-12 ]. http: f//www, citeulike, org/user/ whym/article/2580227.
  • 5Kwak H,Ie C,Park H,et al. What is Twitter,a social net- work or a news media? [ EB/OL]. [2012-11-10]. http:// wenku, about:blank, com/view/faeeet3fO912a2161479298e, html.
  • 6Barabtsi A L, Albert R. Emergence of scaling in random networks [ J ]. Science, 1999,286 (5439) : 509-512.
  • 7Clauset A, Shalizi C R, Newman M E J. Power-law distri- butions in empirical data [ J]. Siam Review, 2009,51 (4) :661-703.
  • 8Newman M E J. Power laws, Pareto distributions and Zipf's law [ J ]. Contemporary Physics ,2005,46 (5) :323-351.
  • 9Ugander J, Karrer B, Backstrom L, et al. The anatomy of the facebook social graph [ EB/OL]. [2012-10-17 ]. http:// www. citeulike, org/user/jamesgleeson/article/lO056037.
  • 10Tauro S L, Palmer C, Siganos G, et al. A simple conceptual model for the Internet topology [ EB/OL]. [ 2012-10-17 ]. http://www, cs. ucr. edu/ michalis/PAPERS/jellyfish- GI. pdf.

二级参考文献11

共引文献2

同被引文献8

  • 1Watts D J, Strogatz S H. Collective dynamics of "small- world" networks [ J ]. Nature, 1998,393 (6684) : 440- 442.
  • 2Barabtsi A L, Albert R. Emergence of scaling in random networks [ J ]. Science, 1999,286 (5439) :509-512.
  • 3Latora V, Marchiori M. Is the Boston subway as mall-world network? [ J ] Physica A : Statistical Mechanics and Its Ap- plications ,2002,314(1/2/3/4) : 109-113.
  • 4Wu Jianjun, Gao Ziyou, Sun Huijun, et al. Urban transit system as a scale-free network [ J ]. Modem physics Let- ters B, 2004,18 (19) : 1043-1050.
  • 5Sienkiewicz J, Holyst J A. Statistical analysis of 22 Public transport networks in Poland [ J ]. Physical Review E, 2005,72(4) :046127.
  • 6Seaton K A, Hackett L M. Stations, trains and small-world networks [ J ]. Physica A: Statistical Mechanics and Its Applications, 2004,339 ( 34 ) : 635-644.
  • 7Angeloudis P, Fisk D. Large subway systems as complex networks [ J ]. Physica A: Statistical Mechanics and Its Applications ,2006,367 (5) :553-558.
  • 8王双进,李凌云,李佳.用修正后的主方程计算BA模型度分布的探讨[J].江西师范大学学报（自然科学版）,2011,35(3):221-224. 被引量：1

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江西师范大学学报（自然科学版）
2013年 第4期

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