期刊文献+

即时消息系统的好友关系网络拓扑建模与分析

Modeling and Analysing Network Topology of Friend Relationships in Instant Messaging System
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摘要 即时消息系统目前已成为人们交友和沟通的主要工具,建模和理解其中的好友关系网络的建立和演化规律对于设计更加友好的即时消息系统很有益处。针对世界最大的即时消息系统之一的QQ,分析了好友关系网络的特点,统计了QQ用户的交友取向特征,考虑了实际的QQ联系人作为节点的出度和入度情况。不同于传统的基于节点度的优先附着规则,提出了即时消息系统的好友关系网络基于用户属性进行建模和演化的规则,设计了相应的拓扑生成算法,讨论了模型各参数对拓扑演化的影响。实验结果表明,提出的生成模型较BA模型更好地体现了实际好友关系网络的特点,例如节点度分布、平均最短路径长度等。 Instant messaging(IM) system has become primary communication tools between people.In order to design a more friendly instant messaging system,it is necessary to understand how the friend relationships are built and evolved in the real instant messaging system.This paper studied the characteristic of friend relationships in network and the trend of making friends with other QQ users and considered nodes in degree and out degree of actual QQ users.At the same time a new algorithm for IM topology was proposed by considering the influence of both node property and the trend of making friends of QQ users.We call it Attribute-based model(ABM) which is different from traditional rules in which node degree is top-priority.The experiments show that ABM behaves better than BA algorithm when friend relationship is considered.
出处 《计算机科学》 CSCD 北大核心 2011年第8期69-73,共5页 Computer Science
基金 国家自然科学基金(60973136 61073164) 科技部国际科技合作与交流专项项目(2008DFA12140) 欧盟合作项目(155776-EM-1-2009-1-IT-ERAMUNDUS-ECW-L12)资助
关键词 用户属性 即时消息系统 拓扑演化 BA模型 拉普拉斯谱 User property Instant messaging system Topological evolution BA model Laplacian spectrum
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参考文献12

  • 1王健,刘衍珩,梅芳,张程.基于网络拥塞的Internet级联故障建模[J].计算机研究与发展,2010,47(5):772-779. 被引量:10
  • 2李超,赵海,张昕,葛新.基于多点测量的网络节点度分布研究[J].计算机科学,2008,35(10):98-99. 被引量:1
  • 3Watts D J,,Strogatz S H.Collective dynamics of small world’’networks. Nature . 1988
  • 4Yao Yuan-yuan.Internet topology study and its application inI Mnetwork modeling. . 2006
  • 5Leskovec J,Horvitz E.Planetary-Scale Views on a Large In-stant-Messaging Network. Proc.of the 17th International-Conference on Word Wide Web . 2008
  • 6Yan Qiang,,Huang Xiao-yan.User Behavior and I M TopologyAnalysis. Journal of Networks . 2008
  • 7Albert-Laszlo Barabasi,Reka Albert.Emergence of scaling in random networks. Science . 1999
  • 8Newman MEJ,Watts DJ.Renormalization group analysis of the small-world network model. Physics Letters . 1999
  • 9Shi Zhou,Raul J Mondragon.The Rich-Club Phenomenon in the Internet Topology. IEEE Communications Letters . 2004
  • 10Smith R D.Instant Messaging as a Scale-Free Network. . 2002

二级参考文献29

  • 1张宇,张宏莉,方滨兴.Internet拓扑建模综述[J].软件学报,2004,15(8):1220-1226. 被引量:64
  • 2姜誉,方滨兴,胡铭曾,何仁清.大型ISP网络拓扑多点测量及其特征分析实例[J].软件学报,2005,16(5):846-856. 被引量:38
  • 3Faloutsos M, Faloutsos P, Faloutsos C. On power-law relationships of the Internet topology[J]. ACM SIGCOMM Computer Communication Review, 1999,29 (4):251-262
  • 4Lakhina A, Byers JW, Crovella M, et al. Sampling biases in IP topology measurements [A]//Proc. of the IEEE INFOCOM 2003. Vol 1. San Francisco : IEEE, 2003:332-341
  • 5CAIDA skitter Project. http://www.caida.org
  • 6Siganos G, Faloutsos M, Faloutsos P, et al. Power laws and the AS-level Internet topology[J]. IEEE/ACM Trans on Networking, 2003,11 (4) : 514-524
  • 7Faloutsos M,Faloutsos P,Faloutsos C.On power-law relationships of the Internet topology[J].ACM SIGCOMM Computer Communication Review,1999,29(4):251-262.
  • 8Siganos G,Faloutsos M,Faloutsos P,et al.Power-laws and the AS-level Internet topology[J].IEEE/ACM Trans on Networking,2003,11(4):514-524.
  • 9Albert R,Jeong H,Barabási A L.The Internet's Achilles' heel:Error and attack tolerance of complex networks[J].Nature,2000,406(6794):378-382.
  • 10Cohen R,Erez K,ben-Avraham D,et al.Breakdown of the Internet under intentional attack[J].Physical Review Letter,2001,86(16):3682-3685.

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