期刊文献+

网络社群的舆情演化机制分析 被引量:4

Analysis on Evolutive Mechanism of Public Opinion of Network Communities
下载PDF
导出
摘要 在网络舆情分析的基础上,构建了网络社群的舆情体系。对网络社群内和网络社群间的舆情演化机制进行了分析,并就网络舆情热点信息和网民行为协同演化进行了讨论,提出了网络社群的舆情管理对策。 On the basis of Internet public opinion analysis, the paper builds a public opinion system of network communities, ana- lyzes public opinion evolutive mechanisms within and between network communities, discusses synergetic evolution of Internet public opinion's hotspot information and netizen's behavior, and then proposes advice on management of public opinion of network communi- ties.
作者 刘继
出处 《情报探索》 2014年第5期1-4,共4页 Information Research
基金 教育部人文社会科学研究青年项目"基于社会计算的新疆网络舆情分析与预警机制研究"(项目编号:11YJC630129) 国家自然科学基金项目"基于网络社群的网络舆情演化分析及突发事件预警机制研究"(项目编号:71261025) 新疆财经大学文社科重点研究基地社会经济统计研究中心重点项目"基于统计学方法的网络舆情发现与分析研究"(项目编号:050312B01)的成果
关键词 舆情 网络社群 演化机制 协同 public opinion network community evolutive mechanism synergy
  • 相关文献

参考文献8

  • 1Damon Centola. The spread of behavior in an online social network experiment [J ]. Science, 2010,329 (5996) : 1194- ! 197.
  • 2Sznajd-Weron K,Sznajd J. Opinion evolution in closed community [J]. International Journal of Modern Physics C. 2000,11 (6) : 1157-1165.
  • 3Woloszyn M,Stauffer D,Kuiakowski K. Phase transi- tion in nowak-sznajd opinion dynamics [J]. Physica A,2006, 378(2) :453-458.
  • 4Deffuant G,Neau D,Amblar d F,et al. Mixing beliefs among interacting agents [J]. Advances in Complex Systems, 2001 (3) : 87-98.
  • 5Martins A C R. Continuous opinions and discrete ac- tions in opinion dynamics problems [J]. International Journal of Modern Physics C, 2008 (19) : 617-624.
  • 6Martins A C R. Discrete opinion models as a limit case of the CODA model[J]. 2012,http://arxiv.org/abs/1201.4565.
  • 7司夏萌,刘云,丁飞,熊菲.具有社团结构的有界信任舆论涌现模型研究[J].系统仿真学报,2009,21(23):7644-7647. 被引量:14
  • 8刘小波.基于NetLogo平台的舆情演化模型实现[J].情报资料工作,2012,33(1):55-60. 被引量:27

二级参考文献18

  • 1刘常昱,胡晓峰,司光亚,罗批.基于小世界网络的舆论传播模型研究[J].系统仿真学报,2006,18(12):3608-3610. 被引量:80
  • 2Girvan M, Newman M E J. Community Structure in Social and Biological Networks [J]. Proceedings of the National Academy of Sciences, 2002, 99(12): 7821-7826.
  • 3Porter M A, Mucha P J, Newman M E J, Friend A J. Community Structure in the United States House of Representatives [J]. Physiea A, 2007, 386: 414-438.
  • 4Redner S. How Popular is Your Paper? An Empirical Study of the Citation on Distribution [J]. The European Physical Journal 13, 1998, 4: 131-134.
  • 5Wilkinson D, Huberman B A. A Method for Finding Communities of Related Genes [J]. Proceedings of the National Academy of Sciences, 2004, 101: 5241-5248.
  • 6Watts D J, Strogatz S H. Collective Dynamics of Small-World Networks [J]. Nature, 1998, 393: 440-442.
  • 7Barabhsi A L, Albert R. Emergence of Scaling in Random Networks [J]. Science, 1999, 286: 509-512.
  • 8Newman M E J. The Structure and Function of Complex Networks [J]. SIAM Review, 2003, 45(2): 167-256.
  • 9Lambiotte R, Ausloos M, Hotyst J A. Majority Model on a Network with Communities [J]. Physical Review E, 2007, 75(3): 030101.
  • 10Lambiotte R, Ausloos M. Coexistence of Opposite Opinions in a Network with Communities [J]. Journal of Statistical Mechanics: Theory and Experiment, 2008, P08026.

共引文献39

同被引文献64

引证文献4

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部