摘要
在CSR传播模型的基础上提出基于接受阈值的在线社交网络中谣言传播模型。在新的接受概率数学模型中除了体现了正向和负向社会加强的影响,还考虑了个人对谣言的接受阈值。结合在线社交网络的匀质网络特性,用统计物理学中的平均场理论对该传播模型进行了分析并给出理论推导。在仿真实验中,利用多agent仿真平台对新模型和CSR模型的传播效果进行了对比研究,从实验的结果来看,新的谣言传播模型传播范围更广,传播速度更快,传播的过程有初值敏感性的特点。
In this paper, we propose a variant CSR model for rumor spreading in online social networks. In the acceptant probability model, negative and positive social reinforcements are considered. Furthermore, the people＇s threshold for rumor accepting is taken into account in this paper. Analytically, a mean field theory is worked out by considering the influence of network topological structure as homogeneous. Under certain conditions, rumor spreads faster and wider in new model than CSR rumor spreading model. Meanwhile, the multi--agent simulation results indicate that the information spreading process is sensitively dependent on initial conditions.
出处
《合肥师范学院学报》
2014年第3期41-46,共6页
Journal of Hefei Normal University
基金
国家自然科学基金资助项目"基于复杂网络理论的网络安全量化评估模型研究"(60873194)
安徽省高校省级自然科学研究项目(KJ2014A266)
关键词
复杂网络
社交网络
社会加强
谣言传播
complex networks
social network
social reinforcement
rumor spreading
