一个多层网络模型,介绍谣言传播和媒体影响之间的相互作用
Shidong Zhai1, Haolin Li1, Shuaibing Zhu2
1School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Chaos (Woodbury, N.Y.)
|April 1, 2024
概括
这项研究模拟了传闻传播中的媒体和人群互动. 调查结果显示,在没有反的情况下,媒体的影响力会减弱,从而减少谣言的传播,而反循环会减少媒体的影响和谣言的传播.
科学领域:
- 社交网络分析分析
- 信息科学 信息科学
- 计算社会科学 计算社会科学
背景情况:
- 谣言传播受到媒体的影响,媒体的影响受到公众反的影响.
- 了解这种动态交互对于管理信息流动至关重要.
研究的目的:
- 开发和分析谣言媒体互动的双层网络模型.
- 调查媒体影响和反对谣言传播动态的影响.
主要方法:
- 构建了一个双层网络模型,将人群行为的易感性-冷漠性-传播-恢复 (SI) 模型和媒体影响的流量模型结合起来.
- 对关键参数进行敏感性分析,重点关注基本复制号.
- 使用现实世界的谣言数据集验证了模型.
主要成果:
- 没有反的单边媒体影响导致媒体影响力下降和谣言传播.
- 媒体在没有直接影响的情况下接受反,最初会减少媒体的影响和谣言的传播.
- 该模型准确地模拟了现实世界的谣言传播,其 R 平方值为 0.9606.6.
结论:
- 媒体影响力和公众反之间的相互作用显著塑造了谣言的动态.
- 开发的模型为理解和预测社交网络中谣言传播提供了一个强大的框架.
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