基于改进SIR模型的群体意见竞争演化研究

发布时间：2018-04-10 01:06

本文选题：SI_nR模型　切入点：竞争演化　出处：《情报杂志》2017年10期

【摘要】：[目的/意义]社会中的每个个体及其交互构成了庞大的社会网络,在沟通与交互过程中,不同的个体有其独特的认知与意见表达,由此形成了多样化的群体意见。群体意见竞争演化的研究,对于网络舆情,尤其是重大突发事件中舆情的疏导具有重要理论和实践意义,而当前对于多样化意见的竞争演化研究仍有所不足。[方法/过程]以经典SIR模型为基础,对模型进行改进与优化,加入多意见群体的竞争机制,并结合意见动力学等理论,建立群体意见竞争演化模型SI_nR,探究易感人群S、多意见传播群体I_i、免疫群体R在社会网络中的竞争演化过程。[结果/结论]以微博平台为研究载体,进一步结合网络爬虫技术和MATLAB程序对微博平台信息传播演化实例,进行仿真分析,揭示不同情景下系统的演化特征,分析参数灵敏度,为网络舆情的积极引导与有效监督提供理论参考。
[Abstract]:[purpose / meaning] each individual and its interaction in society form a huge social network. In the process of communication and interaction, different individuals have their own unique cognition and opinion expression, thus forming diverse group opinions.The research on the evolution of group opinion competition has important theoretical and practical significance for the network public opinion, especially in the major emergencies. However, the current research on the competition evolution of diverse opinions is still insufficient.[method / process] based on the classical SIR model, the model is improved and optimized, the competitive mechanism of multi-opinion group is added, and the theory of opinion dynamics is combined.The evolution model of group opinion competition is established to explore the competitive evolution process of susceptible population, multi-opinion communication group IStui and immune population R in social network.[results / conclusion] taking Weibo platform as the research carrier, and combining network crawler technology and MATLAB program to simulate and analyze the information transmission and evolution of Weibo platform, this paper reveals the evolution characteristics of the system under different scenarios and analyzes the sensitivity of the parameters.It provides a theoretical reference for the positive guidance and effective supervision of network public opinion.
【作者单位】：北京邮电大学经济管理学院;
【分类号】：G206

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