超网络中的舆情传播模型及仿真研究

发布时间：2018-03-04 13:12

  本文选题：超网络　切入点：舆情传播　出处：《计算机应用研究》2017年09期 　论文类型：期刊论文

【摘要】：现实中,个体受到来自不同社会关系网络中所有邻居的信息传播的影响。引入超网络刻画个体的复杂社交关系,基于传染病学建模的思想,模拟超网络中的舆情传播过程。对比分析舆情在超网络和复杂网络结构下的传播过程。当超网络的结构参数取特定值时,模型可以退化为复杂网络模型。进一步,测试超网络结构参数、传播率、恢复率及初始传播节点对舆情传播的影响。探讨舆情的传播时间和波及范围,进而揭示网络舆情的传播规律。
[Abstract]:In reality, individuals are influenced by the spread of information from all neighbors in different social networks. Supernetworks are introduced to depict complex social relationships of individuals, based on the idea of infectious disease modeling. The propagation process of public opinion in supernetwork is simulated. The propagation process of public opinion under supernetwork and complex network structure is compared and analyzed. When the structural parameters of supernetwork are given a certain value, the model can be reduced to a complex network model. The influence of super-network parameters, propagation rate, recovery rate and initial propagation node on the spread of public opinion is tested. The propagation time and spread range of public opinion are discussed, and the law of network public opinion transmission is revealed.
【作者单位】： 上海理工大学管理学院;青岛科技大学经济与管理学院;
【基金】：国家自然科学基金资助项目(71571119) 国家教育部人文社会科学研究项目(16YJC870012) 国家统计科学研究项目(2015LZ49) 青岛市社会科学规划研究项目(QDSKL150462)
【分类号】：O157.5
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