基于复杂网络的微信网络信息传播研究

近三年,微信迅速发展成为最热门的社交平台。通过对微信网络的基本数据描述和复杂网络分析方法,对微信网络结构拓扑性质进行了分析。构建腾讯微信社交网络,得到度分布、聚集系数、平均路径长度等复杂网络统计性质,得出了微信网络的无标度特性和小世界特性,为研究信息在微信中的传播性质,对腾讯微信数据进行实证分析,结合实际案例,评价了微信网络拓扑结构对网络信息传播的影响。

Study on Wechat Network Information Flow Based on Complex Network

Recently wechat has become the most popular social network platform. Using complex network theory, the features of wechat network topology were analyzed. The author build tencent wechat social network, analyzed the statistical properties of complex network based on the degree distribution, the clustering coefficient and the average path length and find that the network has scale-free and small world features. Finally, the influences of wechat network topology structure on the information diffusion were analyzed combining with the actual network event case in order to study the features of wechat information flow.