计算机工程

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微博关系网络模型研究

何 静,郭进利,徐雪娟   

  1. (上海理工大学管理学院,上海 200093)
  • 收稿日期:2012-08-31 出版日期:2013-11-15 发布日期:2013-11-13
  • 作者简介:何 静(1988-),男,硕士研究生,主研方向:工业工程,复杂网络;郭进利,教授、博士生导师;徐雪娟,硕士研究生
  • 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)

Research on Micro-blog Relationship Network Model

HE Jing, GUO Jin-li, XU Xue-juan   

  1. (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)
  • Received:2012-08-31 Online:2013-11-15 Published:2013-11-13

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

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.

Key words: complex network, online social network, micro-blog, public opinion propagation, exponential truncated power-law distribution

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