计算机科学 ›› 2016, Vol. 43 ›› Issue (2): 135-139.doi: 10.11896/j.issn.1002-137X.2016.02.030

• 网络与通信 • 上一篇    下一篇

社交网络上从众现象对谣言传播影响的研究

朱冠桦,蒋国平,夏玲玲   

  1. 南京邮电大学计算机学院 南京210003,南京邮电大学自动化学院 南京210003,南京邮电大学计算机学院 南京210003
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金(61374180,6),2012年度教育部人文社会科学研究规划基金(12YJAZH120),江苏省“六大人才高峰”(RLD201212)资助

Rumor Spreading Model Considering Conformity Phenomena in Complex Social Networks

ZHU Guan-hua, JIANG Guo-ping and XIA Ling-ling   

  • Online:2018-12-01 Published:2018-12-01

摘要: 社交网络中谣言的爆炸性传播现象已引起了研究人员的关注,其传播机制及相应模型的研究对于控制网络谣言的传播至关重要。 受社会网络中的从众现象的启发,在传统SIR谣言传播模型的基础上,考虑到社交网络中的谣言具有全局信息特征,其从众效应具有个体差异性,以及社交网络的规模和拓扑特性(均质和异质网络)对谣言传播的影响,首先建立了两个适用于均质网络和异质网络的改进的SIR谣言传播模型动力学方程组;然后利用蒙特卡罗方法对谣言传播演化过程进行了仿真,结果表明,相对于传统模型,基于这两个方程组的模型能有效体现社交网络中的从众现象对于谣言传播的增幅作用。此外,改进的模型揭示并体现了实际社交网络中谣言传播在从众现象的影响下的规律:蛊惑性较强的谣言传播率提升空间有限,增幅效应较小;蛊惑性较弱的谣言提升空间大,转发的人越多,从众效应的增幅越大,传播的速度越快,爆发到顶峰的时间越短;社交网络规模的增大可以显著削弱从众现象对谣言的增幅作用。

关键词: 谣言传播,社交网络,从众,SIR模型

Abstract: With the prevalence of the social networking services (SNS),the study of rumor spreading mechanisms and models for controlling the propagation of rumors is more and more important in human lives.Inspired by the conformity phenomena in the social networks,we established a new susceptible-infected-removed (SIR) rumor spreading model with consideration of the influences of the global information contained in the SNS’ message,the scale of SNS and the diversity of individuals.The simulation results show that the new proposed model can give a good description of the amplitude effect caused by the conformity phenomena in the rumor spreading process.

Key words: Rumor spreading,SNS ,Conformity,SIR model

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