期刊文献+

基于转发行为影响因素的SCIR信息传播模型 被引量:5

SCIR Information Propagation Model Based on Influencing Factors of Forwarding Behavior
下载PDF
导出
摘要 在线社交网络上信息传播模型的构建和信息传播规律的研究,对于抑制恶意信息传播,加强网络舆论监管力度具有重要意义。通过对热点网络事件的分析,在传统SIR模型基础上加入一类新节点,建立信息传播SCIR模型。以用户交互关系和转发行为影响因素为分析基点,对转发行为相关的5个特征量做出具体分析与算法描述。通过流行病动力学演化方程实现信息传播过程的理论分析,采用不同网络中SIR模型和SCIR模型进行差异性分析。实验结果表明,相对SIR模型,SCIR模型具有更好的稳定性与信息传播覆盖性。 The research on the construction of information propagation model and the law of information transmission on the online social network is of great significance to restrain the spread of malicious information and strengthen the supervision of public opinion on the internet.Based on the analysis of hotspot events,a kind of new node named carrier node is added on the basis of the traditional Susceptible Infected Removed(SIR)model,and a new model named Susceptible Contacted Infected Removed(SCIR)model is established to describe the information diffusion better in online social network.As the analysis of the relationship between user interaction and forwarding behavior,the five characteristics of forwarding behavior are analyzed and described.By the theoretical analysis of the evolution equation of the epidemic dynamics,the difference between the SIR model and the SCIR model is given.Experimental results show that compared with the SIR model,the SCIR model has better stability and information coverage.
作者 张永 华姗姗 张航 ZHANG Yong;HUA Shanshan;ZHANG Hang(Department of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China)
出处 《计算机工程》 CAS CSCD 北大核心 2018年第11期282-288,299,共8页 Computer Engineering
关键词 信息传播 转发行为 SIR模型 SCIR模型 行为影响力 information propagation forwarding behavior Susceptible Infected Removed(SIR)model Susceptible Contacted Infected Removed(SCIR)model behavior influence
  • 相关文献

参考文献8

二级参考文献105

  • 1张乐,钟琪,李政.时变传播规则下的危机信息ISKS-ISK两阶段传播模型及仿真[J].中国科学技术大学学报,2010,40(9):985-990. 被引量:3
  • 2祝帅,郑小林,陈德人.论坛中的意见领袖自动发现算法研究[J].系统工程理论与实践,2011,31(S2):7-12. 被引量:17
  • 3GUO Shu-li,DING Feng-xia.Analysis of an Epidemic Model with Age of Vaccination[J].Chinese Quarterly Journal of Mathematics,2006,21(4):545-552. 被引量:2
  • 4刘军.整体网分析讲义[M].上海:格致出版社,2009.
  • 5ELLISON N B. Social network sites: definition, history, and scholar- ship[J]. Journal of Computer-Mediated Communication, 2007, 13(1): 210-230.
  • 6LAZARSFIELD P F, BERELSON B, GAUSET H. The People's Choice: How the Votes Makes Up His Mind in a Presidential[M]. New York: Columbia University Press, 1948.
  • 7LI Y, MA S, ZHANG Y, et al. An improved mix framework for opin- ion leader identification in online learning communities[J]. Knowl-edge-Based Systems, 2013, (43):43-51.
  • 8CHO Y, HWANG J, LEE D. Identification of effective opinion leaders in the diffusion of technological innovation: a social network ap- proach[J]. Technological Forecasting and Social Change, 2012, (79):97-106.
  • 9VAN J L. Political engagement and government informing seeking: increasing role of social media and mobile devices [EB/OL]. http://www.academia.edu/5297330, 2014.
  • 10CHOI J H, SCOTT J E. Electronic word of mouth and knowledge sharing on social network sites: a social capital perspective[J]. Journal of theoretical and applied electronic commerce research, 2013, 8(1): 69-92.

共引文献168

同被引文献55

引证文献5

二级引证文献26

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