Understanding the relationship between network features and misinformation propagation is crucial for mitigating the spread of false information. Here, we investigate how network density and segregation affect the dissemination of misinformation using a susceptible-infectious-recovered framework. We find that a higher density consistently increases the proportion of misinformation believers. In segregated networks, our results reveal that minorities affect the majority: denser minority groups increase the number of believers in the majority, demonstrating how the structure of a segregated minority can influence misinformation dynamics within the majority group.

翻译：理解网络特征与错误信息传播之间的关系对于减缓虚假信息传播至关重要。本文采用易感-感染-恢复框架，研究网络密度与隔离如何影响错误信息的传播。我们发现更高的网络密度始终会增加错误信息信众的比例。在隔离网络中，我们的结果表明少数群体会影响多数群体：密度更高的少数群体会增加多数群体中的信众人数，这揭示了隔离少数群体的结构如何影响多数群体内部的错误信息传播动态。