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微博关系网络模型研究
引用本文:何静,郭进利,徐雪娟.微博关系网络模型研究[J].计算机工程,2013(11):105-108.
作者姓名:何静  郭进利  徐雪娟
作者单位:上海理工大学管理学院,上海200093
基金项目:国家自然科学基金资助项目(70871082);上海市研究生创新基金资助项目(JWCXSL1202);上海市一流学科建设基金资助项目(S1201YLXK)
摘    要:舆论在微博上的传播过程可以抽象成一个生长的复杂网络。在分析微博网络特性和用户行为习惯的基础上,考虑新用户在进入网络时的同配性,建立微博关系网络的演化模型,并对模型进行仿真。分析指出,微博网络呈现出指数与幂律的混合分布。对微博网络进行实证研究,结果表明,微博关系网络中节点的度分布服从指数截断的幂律分布,具有无标度和小世界特性,与理论分析的结果相一致。

关 键 词:复杂网络  在线社交网络  微博  舆论传播  指数截断的幂律分布

Research on Micro.blog Relationship Network Model
HE Jing,GUO Jin-li,XU Xue-juan.Research on Micro.blog Relationship Network Model[J].Computer Engineering,2013(11):105-108.
Authors:HE Jing  GUO Jin-li  XU Xue-juan
Affiliation:(Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)
Abstract:The process of public opinion propagation on the micro-blog can be abstracted as a growing complex network. Based on the analysis of the micro-blog network characteristics and users' behavior habit, considering the assortative mixing for new user access to the network, this paper establishes an evolution model of the micro-blog relationship network and makes a model simulation. The analysis result confirms that the micro-blog network shows as exponential and power-law mixture distribution. Empirical analysis on the micro-blog user data confirms that the micro-blog network node degree distribution shows as exponential truncated power-law distribution has scale-free and small-world characteristics. It is consistent with the results of theoretical analysis.
Keywords:complex network  online social network  micro-blog  public opinion propagation  exponential truncated power-lawdistribution
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