计算机工程

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个体特征对在线社会网络中信息传播的影响

张甜甜 1,张宁 1,毛国勇 2   

  1. (1.上海理工大学 管理学院,上海 200093; 2.常州工学院 光电学院,江苏 常州 213002)
  • 收稿日期:2016-01-20 出版日期:2017-03-15 发布日期:2017-03-15
  • 作者简介:张甜甜(1990—),女,硕士研究生,主研方向为复杂网络、信息传播;张宁、毛国勇,教授。
  • 基金项目:
    国家自然科学基金(70971089);上海市系统科学一流学科建设项目(XTKX2012);上海市研究生创新基金(JWCXSL1202/JWCXSL1302);江苏省“333”工程科研项目(BRA2014065)。

Influence of Individual Characteristic on Information Spreading in Online Social Network

ZHANG Tiantian  1,ZHANG Ning  1,MAO Guoyong  2   

  1. (1.Business School,University of Shanghai for Science and Technology,Shanghai 200093,China;2.Photoelectric College,Changzhou Institute of Technology,Changzhou,Jiangsu 213002,China)
  • Received:2016-01-20 Online:2017-03-15 Published:2017-03-15

摘要: 为研究个体特征对在线社会网络中信息传播的影响,结合个体特征、社会加强和信息属性,提出一个简单的信息传播模型。在传播模型中主要考虑记忆效应、社会加强、信息属性和个体特征这4个因素,并根据服从均匀分布与幂律分布的个体在规则网络、WS小世界网络、BA无标度网络上传播信息的能力,对此进行仿真实验,同时在Facebook上进行实证研究。结果表明,不论哪种情况下,信息的传播速度遵循BA无标度网络最快,规则网络最慢的规律,规则网络的稳定时间也最长。Facebook的传播图与BA网络的结果图类似。

关键词: 在线社会网络, 个体特征, 信息属性, 记忆效应, 均匀分布, 幂律分布, 信息传播

Abstract: In order to research the influence of individual characteristic on information spreading in online social network,this paper presents a simple information spreading model that combines individual characteristic,social reinforcement and information attribute and considers the memory effects,social reinforcement,information attribute,and individual characteristic.It also considers the ability to spread information of the individual that obeys uniform distribution and power-law distribution in the regular network,the WS small network and the BA scale-free network,and carries out simulation experiment.At the same time,the empirical research is performed in the real network Facebook.No matter what kind of situation,transmission speed of information is fastest in the BA scale-free network,and slowest in the regular network.The stable time of the regular network is the longest.The spread figure of Facebook is similar to the results of the BA network.

Key words: online social network, individual characteristic, information attribute, memory effect, uniform distribution, power-law distribution, information spreading

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