摘要
舆情话题通常是由突发性的新闻事件所引发,社交网站(Social Network Sites,SNS)因其庞大的用户规模和开放性、即时性与互动性等特点,成为舆情话题传播的重要渠道。因此,研究SNS网络中的舆情话题传播机制,将有利于对舆情话题的传播过程进行分析与监控。然而传统的网络信息传播模型无法真实地描述SNS网络中的舆情话题传播过程。为了解决上述问题,分析了SNS网络中的信息互动模式及舆情话题的传播特点,基于无标度网络上的SIR模型,通过引入内部感染概率、外部感染概率、免疫概率以及直接免疫概率,构建了SNS网络中的舆情话题传播模型。仿真结果表明,基于SIR的舆情话题传播模型可以很好地描述SNS网络中的舆情话题演化规律。
The public opinion topics are usually caused by the sudden events, and social network sites （SNS）have become the important communication channels of the public opinion topics because of their large scale of users and the characters of open, real-time and interactive. Therefore, studying the propagation mechanism of public opinion topics in SNS will be conducive to analyzing and monitoring the propagation process of public opinion topics. However, it is difficult for the traditional information propagation models to describe the propagation and evolution of the public opinion topics in SNS. This paper analyzes the information interaction mode and propagation characteristics of the public opinion topics in SNS, and then the propagation model of public opinion topics in SNS is built up based on SIR model in the scale-free network. The model considers internal infection probability, external infection probability, immune probability and direct immune probability as the important parameters in the propagation process. The simulation results show that the model established in this paper can well describe the propagation law of public opinion topics in SNS.
出处
《计算机仿真》
CSCD
北大核心
2015年第1期241-247,共7页
Computer Simulation
基金
国家自然科学基金(71301021)
辽宁省社会科学规划基金项目(L14DGL045)
东北财经大学青年科研人才培育项目(DUFE2014Q56)
关键词
社交网站
舆情话题
传播模型
复杂网络
传染病动力学
Social network sites（SNS）
Public opinion topics
Propagation model
Complex network
Infectious disease dynamics
