基于复杂网络理论的微博信息传播实证分析  

The Empirical Analysis of Micro-blog Information Flow Based on Complex Network Theory

作　　者：田占伟[1] 隋玚[2] 

机构地区：[1]哈尔滨工业大学管理学院,哈尔滨150090 [2]黑龙江大学新闻传播学院,哈尔滨150030

出　　处：《图书情报工作》2012年第8期42-46,共5页Library and Information Service

摘　　要：为研究信息在微博中的传播特征,对新浪微博数据进行实证分析。利用复杂网络理论方法,对构建的微博信息传播网络,进行基于度、路径统计指标的分析,发现该网络具有集群性、小世界、高度中心化等特征。这些特征表明,信息在微博网络中的传播效率比其他在线社会网络更高;网络中介数中心点对信息传播效率的贡献显著,但网络并不脆弱;节点在信息传播中的作用差异很大,易于形成意见领袖。按行业属性对网络进行群落划分后,发现各群落在微博中表现出的信息传播特性与在现实社会中相似。In order to study the features of micro-blog information flow, the authors make empirical analysis on Sina micro-blog data. Using complex network theory, they analyze indicators of information flow network based on degree and path statistical indexes and find that the network has clustery, small world, highly polarized features, etc. These features show that information flow efficiency in micro- blog is higher than other online social networks; the vertex betweenness-first center contributes to efficiency significantly, but the network is not vulnerable ; node is very difference in the role of information flow, easy to form opinions leader. After dividing the network accord- ing to industrial property, the authors find information flow features of community in micro-blog are similar to in actual society.

关 键 词：复杂网络 微博 信息传播 网络结构分析 

分 类 号：G206[文化科学—传播学]