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首页 > 过刊浏览>2009年第20卷第5期 >1384-1392
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博客网络中具有突发性的话题传播模型
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基金项目:

Supported by the National Natural Science Foundation of China under Grant Nos.60574087, 60736027, 60704008 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant Nos.2007AA01Z480, 2007AA01Z475, 2007AA01Z464 (国家高技术研究发展计划(863)); the Program of Introducing Talents of Discipline to Universities of China under Grant No.B06002 (高等学校学科创新引智计划); the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.20070003110 (高等学校博士学科点专项科研基金)

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    摘要:

    提出了一个基于节点知名度和活跃度的离散时间话题传播模型.该模型的参数具有明确的物理意义,可体现话题动态传播过程的特征,并可为话题传播趋势的预测研究提供依据.通过统计和分析中国最大的博客站 点——新浪博客在几个月中若干具有突发性的事件引起的热门话题数据,结果表明,所提出的模型可以较为精确地再现话题的实际传播过程并体现传播速率的重尾现象.

    Abstract:

    A discrete time dynamic model is proposed for bursty propagation of incidental events based on the node popularity and activeness in blog networks. The parameters of this model are clearly associated with the actual propagation and can reflect the characteristics of the dynamic propagation process. The model can provide a basis for predicting the trend of social events propagation in blog networks. Numerical testing is performed with the data from widely discussed events in Sina Blog, one of the most popular blogospheres in China in several months, and the results show that this model can emulate the actual event propagation and reflect the heavy tail phenomena of the decreasing propagation rate.

    参考文献
    [1] Kumar R, Novak J, Raghavan P, Tomkins A. On the bursty evolution of blogspace. In: Proc. of the 12th Int’l Conf. on World Wide Web. New York: ACM Press, 2003. 159?178.
    [2] China Internet Network Information Center. Research report of 2007 China blog market. Statistical Report, 2007 (in Chinese). http://www.cnnic.net.cn/html/Dir/2007/12/26/4948.htm
    [3] China Internet Network Information Center. Research report of 2006 China blog. Statistical Report, 2006 (in Chinese). http://www.cnnic.net.cn/html/Dir/2006/09/25/4176.htm
    [4] Zhao ZL. A clear thinking toward the prosperity of blog: A disseminative understanding of news blog. Journal of Nanjing University of Posts and Telecommunications (Social Science), 2006,8(2):23?26 (in Chinese with English abstract).
    [5] Qu H. “Alienation” of online community and media. Southeast Communication, 2006,(3):45?47 (in Chinese with English abstract).
    [6] Kumar R, Novak J, Raghavan P, Tomkins A. Structure and evolution of blogspace. Communications of the ACM, 2004,47(12): 35?39.
    [7] Adar E, Zhang L, Adamic LA, Lukose RM. Implicit structure and the dynamics of blogspace. In: Proc. of the Workshop on the Weblogging Ecosystem, the 13th Int’l World Wide Web Conf. New York: ACM Press, 2004.
    [8] Adar E, Adamic LA. Tracking information epidemics in blogspace. In: Proc. of the 2005 IEEE/WIC/ACM Int’l Conf. on Web Intelligence. Compiegne: IEEE Computer Society Press, 2005. 207?214.
    [9] Leskovec J, McGlohon M, Faloutsos C, Glance N, Hurst M. Patterns of cascading behavior in large blog graphs. In: Proc. of the SIAM Int’l Conf. on Data Mining. New York: ACM Press, 2007. 551?556.
    [10] Gruhl D, Guha R, Liben-Nowell D, Tomkins A. Information diffusion through blogspace. In: Proc. of the 13th Int’l Conf. on World Wide Web. New York: ACM Press, 2004. 491?501.
    [11] Nisan N, Roughgarden T, Tardos E, Vazirani V. Algorithmic Game Theory. Cambridge: Cambridge University Press, 2007. 613?614.
    [12] Hosking JRM, Wallis JR. Parameter and quantile estimation for the generalized Pareto distribution. Technometrics, 1987,29(3): 339?349. 附中文参考文献:
    [2] 中国互联网络信息中心.2007年中国博客市场调查报告.统计报告,2007.
    [3] 中国互联网络信息中心.2006年中国博客调查报告.统计报告,2006.
    [4] 赵志立.博客“热”的“冷”思考——对新闻博客的传播学解读.南京邮电大学学报(社会科学版),2006,8(2):23?26.
    [5] 瞿辉.“网络社区”与媒介的“异化”现象.东南传播,2006,(3):45?47.
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赵丽,袁睿翕,管晓宏,贾庆山.博客网络中具有突发性的话题传播模型.软件学报,2009,20(5):1384-1392

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  • 收稿日期:2008-03-10
  • 最后修改日期:2008-10-27
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