基于复杂网络的中文微博网络结构研究

Research on the Chinese micro-blog network structure based on complex network

为了探讨复杂网络特征,文章通过爬取新浪微博数据,并对数据进行清洗,利用微博用户的关注关系构建微博关系复杂网络,建立微博关注模型。基于复杂网络理论和分析方法,研究了微博的网络特征,探讨用户关注关系网络的小世界特性和无标度特性等特征。研究结果表明,微博关注网络的度分布服从幂律分布,具有较高入度的用户节点相比低入度的节点更容易被人关注,使得网络整体的无标度特性加强。

For discussing complex network characteristics, the micro-blog user’s follower relationship was used to build the micro-blog relationship complex network and the micro-blog follower relationship model by crawling and cleaning the Sina micro-blog data. Based on the theory and the analysis method of complex network, in this paper the micro-blog network characteristics were studied, the small-world and the scale-free characteristics of users’ follower network was discussed. The research results show that the degree distribution of micro-blog follower network follows the power-law distribution. Comparing with low in-degree nodes, nodes with higher in-degree were more likely to be concerned, which makes the network enhance the overall scale-free property.