摘要： 为挖掘在线社交网络中人与人之间的相互关系,探索社交网络关系网的复杂规律。基于行为动力学,以新浪微博网络之间的关注关系为例,通过网络爬虫爬取娱乐名人的子网络,分析网络的度相关性、互惠性,以及不同指标下的网络中心化结果。结果显示,该网络符合典型的幂律分布,具有小世界特征,为进一步仿真建模和掌握社交网络规律,以及社交网络的舆情分析与舆情监控提供了理论基础。

关键词: 复杂网络, 无标度, 小世界, 混合模式, 中心化, 社交网络

Abstract: In order to excavate the inter-relationship from person to person in online social network,this paper explores the complex rules of social network.Based on the dynamics of human behavior,according to the sample of the attention relations in Sina micro-blog network,it picks out the sub-network between several entertainments celebrities to analysis and comparison.It specificly analyzes the network’s degree correlations,reciprocities and the results in different indicators under the network centralities.The results illustrate the networks suit the power-law distribution and possess the small-word characteristic.The conclusion provides a good empirical basis for modeling and mastering the law of social network,and also provides a theoretical basis for the analysis,monitor and control of public opinion on social networks.

Key words: complex network, scale-free, small-world, mixing pattern, centrality, social network

中图分类号: 

• TP393