期刊文献+

融入改进SIR模型的移动社交网络谣言传播用户群体动态演化仿真研究 被引量:18

Simulation Research on Dynamic Evolution of Rumor Spreading User Group on Mobile Social Networks Via Integration Improvement of SIR Model
原文传递
导出
摘要 【目的/意义】近年来移动社交网络的高速发展推动了学术界对网络舆情的关注,网络谣言作为其中的重要组成部分越来越受到监管部门的关注。本文通过建模仿真对谣言传播群体动态演化特征进行分析,以期为有关部门有效应对和控制移动社交网络谣言提供借鉴。【方法/过程】本文以经典SIR模型为基础,加入移动社交网络用户数量等影响因子进行优化,并结合传播动力学理论构建了移动社交网络谣言传播的参与群体动态演化模型,最后使用MATLAB等软件实现模型和数值仿真。【结果/结论】实验结果显示:谣言在前期发展阶段的传播速度最快,杀伤力也最大;移动社交网络环境对谣言传播有促进作用;网络容量越大,谣言传播的范围越大;本文模型通过仿真验算,证明可以用于对移动社交网络环境下的谣言传播进行仿真。 【Purpose/significance】In recent years,the rapid development of mobile social networks has aroused academic attention to online public opinion,of which the network rumor is an important part.Thus,the supervision departments have paid a lot attention to the network rumor.This paper simulates the dynamic evolution of rumor spreading user group via modeling,in order to provide references for the relevant departments to take effectively responds and make the rumors on mobile social networks under control.【Method/process】The paper optimizes the classic SIR model,by adding the impact factors such as the number of users on mobile social network,and combines it with the transmission dynamics theory to construct the dynamic evolution model of rumor spreading user group on mobile social network.MATLAB and other software are used to implement the modeling and numerical simulation.【Result/conclusion】According to the experimental results,the rumors spread fastest in the early development stage and lead to greatest impact;the mobile social network gives advantage to the spread of rumors;the larger the network capacity is,the larger the scope of rumor spreading;The model of the paper is verified through simulation.Therefore,the model can be used to simulate rumor spreading in a mobile social network environment.
作者 顾秋阳 琚春华 鲍福光 GU Qiu-yang;JU Chun-hua;BAO Fu-guang(School of Business,University of Nottingham Ningbo,Ningbo 315175,China;Zhejiang Gongshang University,Hangzhou 310018,China)
出处 《情报科学》 CSSCI 北大核心 2019年第10期67-74,80,共9页 Information Science
基金 浙江省哲学社会科学规划课题“基于消费者认知心理的行为决策与融合产品的社会化推荐应用研究”(16NDJC188YB) 国家自然科学基金项目“电商环境下融入在线社会关系的消费信贷价值度量研究”(71571162) 浙江省软科学重点项目“基于DEA的网上技术市场运行效率评价研究”(2018C25030)
关键词 SIR模型 移动社交网络 谣言传播 用户群体 动态演化 SIR model mobile social network rumor spreading user group dynamic evolution
  • 相关文献

参考文献16

二级参考文献161

共引文献447

同被引文献261

引证文献18

二级引证文献107

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部