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网络舆论集群行为的动态仿真及可视化引导路径研究 被引量:2

Dynamic Simulation and Guide to Visualization of the Clustering Behavior on Network Public Opinion
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摘要 随着互联网的普及和网络舆论的广泛传播,网络舆论集群行为呈愈演愈烈之势。构建了网络舆论集群行为的动态仿真模型,并进行系统可视化仿真,以期为形成有效的网络舆论集群行为调控机制指明方向。该研究对于正确理解网络舆论集群行为的发生、演变规律和传导路径,为管理层进行合适的时机和防控策略选择提供直观和有价值的参考,对网络社会舆论的良性运行有着重要的现实意义。 With the popularity of the Internet and the widespread of network public opinion,clustering behavior of network public opinion is getting intensified.Network behavior is different from the media cluster on the organizational behavior of social groups in the traditional sense,and it is the copy,extension and innovation of the latter on the Internet.As a special phenomenon of public opinion,the clustering behavior of the network opinion has its own unique characteristics and mechanisms of its generation and growth.This paper deeply analyses the characteristics and development path of clustering behavior of the network public opinion,and builds a propagation and evolution model and makes a visualization simulation system,with a view to forming an effective control mechanism for network public clustering behavior.The research has an important practical significance on a correct understanding of the occurrence,evolution and conduction path of network clustering behavior.It will provide intuitive and valuable reference for the manager to choose the right time and make control strategies.And it is meaningful to the sound operation of the network social opinion.
出处 《哈尔滨工业大学学报(社会科学版)》 2011年第5期20-26,共7页 Journal of Harbin Institute of Technology(Social Sciences Edition)
基金 教育部人文社会科学研究青年基金项目"基于语义情感分析模型的网络民意直观化研究"(10YJC860040) 黑龙江省哲学社会科学规划项目"基于语义情感挖掘的突发公共事件网络舆论扩散规律及引导对策研究"
关键词 网络舆论集群行为 可视化 引导路径 clustering behavior of network public opinion visualization guide
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  • 1LUX T, MARCHES M. Scaling and Criticality in a Sto- chastic Multi- agent Model of a Financial Market[ J ]. Nature, 1999, 397(11): 498 -500.
  • 2DOYLE J R, CATHERINE, CHEN H. The Wandering Weekday Effect in Major Stock Markets[J]. Journal of Banking & Finance, 2009, 33(8) : 1388 -1399.
  • 3K1M G, MARKOWITZ H M. Investment Rules, Mar- gin and Market Volatility[J]. Journal of Portfolio Man- agement, 1989, 16:45-52.
  • 4CHEN S H, YEH C H. Evolving Traders and the Busi- ness School with Genetic Programming: A New Archi- tecture of the Ggent -based Artificial Stock Market[ J]. Journal of Economic Dynamics & Control, 2001, 25: 363 - 393.
  • 5I CONT R, BOUCHAUO J P. Hear Behavior and Aggre- gate Fluctuation in Financial Marpets[ J]. Macroecon- omics Dynamics ,2000,4 : 170 - 196.
  • 6MAKOWIEC D, GNACINSKI P, MIKLASZEWSKI W. Amplified Imitation in Percolation Model 'of Stock Mar- ket[J]. Ph'ysica A, 2004, 49:269 -278.
  • 7周佩玲,夏鼓,李立文.个体行为对复杂系统的策动研究——虚拟股市场建模与仿真[C]//首届全国管理复杂性研讨会文集,2000:133-138.
  • 8胡代平,刘豹.多agent股票预测支持系统的设计[J].系统工程,2001,19(2):54-57. 被引量:10
  • 9刘晓峰,刘晓光,田存志.涨、跌停板制度安排对于股市稳定性影响的研究[J].国际金融研究,2001(9):16-22. 被引量:13
  • 10沈晖.网络集群行为与社会工作介入策略[J].中国地质大学学报(社会科学版),2009,9(5):94-99. 被引量:17

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