在网络上的有限信任内容传播过程中,用于infodemics的"意见复制号码"
Heather Z Brooks1, Mason A Porter2,3,4
1Department of Mathematics, Harvey Mudd College, Claremont, California 91711, USA.
Chaos (Woodbury, N.Y.)
|January 30, 2025
概括
我们引入了一个有界的信任模型来研究网络上的内容传播动态. 批评意见的复制数决定了内容是否会造成"传染病"或死亡,揭示了网络结构的影响.
科学领域:
- 网络科学 网络科学
- 计算社会科学 计算社会科学
- 信息传播的动态信息传播的动态
背景情况:
- 网络上的内容传播通常是使用诸如有限信任之类的机制来建模的.
- 局限信任模型 (BCM) 通常涉及代理人根据接近其他人的观点进行调整.
- 现有的模型没有一个明确的门,用于广泛的内容级联.
研究的目的:
- 模拟内容传播动态,使用一种新的局限信任机制.
- 引入和分析"意见复制号"以预测内容级联大小.
- 调查网络结构和模型参数对内容传播的影响.
主要方法:
- 开发了一个内容传播模型,其中包含了传播启动的有限信任.
- 定义了一个意见复制号码,类似于疾病复制号码.
- 利用配置模型网络通过总结统计分析传播规模和形状.
主要成果:
- 一个批评意见复制号码区分内容的灭绝和广泛的"infodemics".
- 内容最有效地传播的是高平均网络连接 (平均程度) 或代理接收能力.
- 稍微超过传染病值可以产生更长的,虽然数量较少的传播树.
结论:
- 意见复制数为预测大规模内容布提供了一个关键的指标.
- 网络拓和代理接收能力显著影响内容传播模式.
- 针对级联大小的优化包括在传染病值周围平衡参数.
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