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错误信息在以活动为导向的网络上传播,传播速度异质
Yongwang Gong1, Michael Small2,3
1School of Information Engineering, Yancheng Institute of Technology, Yancheng 224051, China.
Chaos (Woodbury, N.Y.)
|October 1, 2024
概括
这项研究引入了一种新型的错误信息在社交媒体上传播的模型,考虑了各种用户转发习惯和链接类型. 不同质的传播率显著影响错误信息.
科学领域:
- 社交网络分析 社交网络分析
- 信息传播 信息传播
- 计算社会科学 计算社会科学
背景情况:
- 在社交媒体上传播的错误信息受到用户转发行为的影响.
- 用户关系和链接类型在信息传播中产生异质性.
研究的目的:
- 引入一种新的无知者-传播者-反抗性 (ISR) 模型来传播错误信息.
- 调查异质传播率对具有不同链接类型的活动驱动网络的影响.
主要方法:
- 开发了一种新的ISR扩散模型,其中包含异质的扩散率.
- 采用了平均场方法和蒙特卡洛模拟来进行分析.
主要成果:
- 传播率的异质性对均链接分布的疫情值没有影响.
- 不均的链接分布显示出显著的影响:正常分布增加了值,而指数分布减少了它.
- 不同质的传播率对最终错误信息传播率的影响取决于链接类型分布.
结论:
- 传播率的异质性对于理解错误信息动态至关重要.
- 网络结构和链接属性显著调节异质扩散率的影响.
- ISR模型为研究在复杂的社交网络中信息传播提供了一个细微的框架.
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