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基于系统动力学的互联网舆情传递及引导策略研究 被引量:3

Research on Internet Public Opinion Transmission and Guidance Strategy Based on System Dynamics
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摘要 通过互联网舆情传递"迁移"、"转化"两个过程分解,探究舆情Group间舆情迁移概率和舆情传播起点对舆情传递过程的影响。使用系统动力学方法,仿真互联网舆情传递的"迁移"及"转化"阶段,更加深刻的解析互联网舆情传递规律。通过仿真发现,随着舆情迁移概率的增大,并不能达到"实现舆情均衡状态所使用时间不断缩短"的预期状态,相反当舆情迁移概率超过某一值后,有可能导致舆情传递过程的失败。本研究从仿真角度找出了舆情迁移概率、舆情传递起点对舆情扩散过程的影响,以期为互联网舆情控制提供理论指导。 We explore the public opinion transfer probability and the starting point of the transfer process of public opinionthrough the research of the Internet public opinion transmission and transformation processes. Using the system dynamicsmethod, we simulated the "transfer" and "transformation" of Internet public opinion. According to the simulation result, itis found that the expected state cannot be researched with the increase of the public opinion transmission probability. Andit is likely to lead to the failure of public opinion transmission. This study forms the perspective of simulation to find outhow the public opinion transfer probability and public opinion transfer starting point affect the public opinion of thediffusion process, with a view to provide theoretical guidance for the internet public opinion control.
出处 《情报科学》 CSSCI 北大核心 2016年第10期65-71,共7页 Information Science
基金 教育部人文社会科学基金资助项目(13YJC630178) 江苏省社科基金项目(No.14TQC002) 国家自然科学基金资助项目(71271120) 江苏省政府留学基金
关键词 互联网 舆情传递 系统动力学 引导策略 internet public opinion transfer system dynamics guiding strategy
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  • 1邓方.从社会结构变动看美国社会学的发展动向[J].美国研究,1989,3(2):131-145. 被引量:4
  • 2吴青峰,孔令江,刘慕仁.元胞自动机舆论传播模型中人员个性的影响[J].广西师范大学学报(自然科学版),2004,22(4):5-9. 被引量:52
  • 3洪飞,吴志美.基于小波的多尺度网络流量预测模型[J].计算机学报,2006,29(1):166-170. 被引量:46
  • 4王其藩.系统动力学[M].北京:清华大学出版社,1998.
  • 5David M, Blei John D, Lafferty. Dynamic Topic Models[ C ]// Proceedings of the 23rd International Conference on Machine Learning. 2006: 113-120.
  • 6Wang Xuerui, Andrew McCallum. Topics over Time: A Non-Markov Continuous-Time Model of Topical Trends [ C ]// Pro- ceedings of International Conference on Knowledge Discovery and Data Mining. 2006 : 424-433.
  • 7Wan Xiaojun, Yang Jianwu. Learning Information Diffusion Process on the Web[ C ]//Proceedings of World Wide Web con- ference series. 2007 : 1173-1174.
  • 8Avare Stewart, Ling Chen, Raluca Paiu, et al. Discovering Information Diffusion Paths from Blogosphere for Online Advertis- ing[ C ]//Proceedings of the 1 st International Workshop on Data Mining and Audience Intelligence for Advertising( ADKDD' 07). 2007 : 46-53.
  • 9Sznajd Weron K, Sznajd J. Opinion evolution in closed community[ J]. International Journal of Modern Physics C, 2000, 11 (6) : 1157-1165.
  • 10Galam S. Minority opinion spreading in random geometry [ Jl. The European Physical Journal B, 2002, 25 (4) : 403--406.

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