摘要
谣言传播是复杂网络传播动力学研究的重要课题.分析正负双重社会强化机制对用户传播行为的影响,并根据不同网络度分布的差异,构建了同质网络与异质网络谣言传播动力学模型,进而分析谣言传播阈值及最终扩散规模.数值仿真结果表明,在线社交网络谣言传播阈值很小,谣言一旦产生极易传播;正负双重社会强化机制同时影响谣言最终传播规模;加大负向社会强化效用,有助于缩小谣言传播的最终扩散范围,削弱谣言产生的最大影响,同时还可以减缓谣言传播速度,为有关部门采取措施控制谣言传播提供更充裕的时间.研究结果告诫政府有关部门,只有下大力度加大负向社会强化效用,才能有效控制谣言传播,维护国家安全与社会稳定.
The research of rumor spreading has become an important topic of spreading dynamics on complex networks. This paper an- alyses the effect of positive and negative double social reinforcement mechanism on the individual propagation behaviour, proposes ru- mor spreading models on both homogeneous and heterogeneous networks, and investigates the spreading threshold and the final rumor size. The simulation results show that the critical threshold is quite small. Both the positive social reinforcement and the negative social reinforcement will affect the final rumor size jointly. The increase of negative social reinforcement can effectively increase the sprea- ding threshold and reduce the final rumor size as well as the maximum rumor influence. Besides, the increase of negative social rein- forcement can also provide much more time for government to control rumor spreading by slowing down the spreading velocity. These obtained findings warn us that we should spare no effort to strengthen the negative social reinforcement to control rumor spreading and maintain social stability.
出处
《小型微型计算机系统》
CSCD
北大核心
2017年第4期705-711,共7页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(71271186)资助
河北省自然科学基金项目(G2016203220)资助
河北省研究生创新资助项目(2016SJBS026)资助
燕山大学大学生课外科研立项项目(16-05-01A)资助
河北省教育厅自然科学基金项目(QN2015248)资助
中国博士后科学基金项目(2015M581320)资助
关键词
谣言传播
在线社交网络
双重社会强化
传播阈值
rumor spreading
online social networks
double social reinforcements
threshold