谣言
聚类系数
聚类分析
社交网络(社会语言学)
扩散
计算机科学
动态网络分析
社会化媒体
有效扩散系数
统计
计算机网络
万维网
数学
人工智能
物理
热力学
公共关系
医学
放射科
磁共振成像
政治学
作者
Mingsheng Tang,Xinjun Mao,Zahia Guessoum,Hang Zhou
摘要
To research rumor diffusion in social friend network, based on interests, a dynamic friend network is proposed, which has the characteristics of clustering and community, and a diffusion model is also proposed. With this friend network and rumor diffusion model, based on the zombie-city model, some simulation experiments to analyze the characteristics of rumor diffusion in social friend networks have been conducted. The results show some interesting observations: (1) positive information may evolve to become a rumor through the diffusion process that people may modify the information by word of mouth; (2) with the same average degree, a random social network has a smaller clustering coefficient and is more beneficial for rumor diffusion than the dynamic friend network; (3) a rumor is spread more widely in a social network with a smaller global clustering coefficient than in a social network with a larger global clustering coefficient; and (4) a network with a smaller clustering coefficient has a larger efficiency.
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