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基于用户个性的微博网络传播模型研究
引用本文:张文杰,穆海冰,张长伦.基于用户个性的微博网络传播模型研究[J].铁路计算机应用,2013,22(10):54-58.
作者姓名:张文杰  穆海冰  张长伦
作者单位:北京交通大学通信与信息系统北京市重点实验室,北京,100044%北京建筑工程学院理学院,北京,100044
摘    要:微博的转发过程易受各种因素影响,构建合理、完善的传播模型准确描述信息的传播过程,对网络舆论的预测和引导具有重要的支撑作用.本文从信息传播规则和网络拓扑结构2个角度建立信息传播模型,并将用户个性作为影响因素纳入到模型当中,在实际微博拓扑子网中模拟信息的转发过程.仿真结果表明用户个性对信息扩散的影响作用明显,信息吸引力临界值在不同类型个体居多的网络中会发生变化,并且不同个性用户对信息扩散的影响作用是不同的,自主型个体对信息扩散具有很强的推动力,中立型个体次之,无主见型个体最差.

关 键 词:微博网络    传播模型    用户个性    信息吸引力    信息扩散
收稿时间:2013-10-15

Research on propagation model of microblog network based on personalities of users
ZHANG Wenjie;MU Haibing;ZHANG Changlun.Research on propagation model of microblog network based on personalities of users[J].Railway Computer Application,2013,22(10):54-58.
Authors:ZHANG Wenjie;MU Haibing;ZHANG Changlun
Affiliation:ZHANG Wenjie;MU Haibing;ZHANG Changlun;Key Laboratory of Communication & Information Systems, Beijing Jiaotong University, Beijing Municipal Commission of Education;Science School, Beijing University of Civil Engineering and Architecture;
Abstract:The forwarding process of microblog was susceptible to a variety of factors. Constructing a reasonable, perfect propagation model to describe accurately the propagation process of information had an important supporting role of forecasting and guiding the public opinion. In this paper, the propagation model was built based on both information propagation mechanism and the network structure, and the personalities of user were incorporated into the model as influencing factors, and then analog the forwarding process of information in the actual microblog topology subnet. Simulation results showed that the personalities of user had obvious effect on information diffusion and the critical value of information attraction would change in the different network where some kind of personality was the majority. The user with different personalities had different effect on information diffusion. The autonomous individual had a strong impetus to information diffusion, the neutral individual follows, and non-assertive individual does worst.
Keywords:microblog network  propagation model  personalities of user  information attraction  informationdiffusion
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