论文标题
在社会信息流的模型中，复杂的传染特征无社会加强
Complex contagion features without social reinforcement in a model of social information flow
论文作者
论文摘要
传染模型是我们了解信息在社交网络上的传播的主要镜头。但是，简单的传染模型无法再现在现实世界数据中观察到的复杂特征，从而研究了更复杂的复杂传染模型。复杂传染的一个著名特征是社会强化，即个人在开始自己传播之前需要多次接触信息。在这里，我们表明，引号模型是网络上书面信息的社会流量的模型，它显示了复杂传播的特征，包括长领带的弱点以及增加密度抑制而不是促进信息流。有趣的是，尽管没有明确的社会增强机制，但引号模型与复杂的传染模型不同。我们的结果强调了需要与信息传播的信息理论相辅相成，以更好地了解网络属性如何影响信息流以及建模社交行为时最必要的成分是什么。
Contagion models are a primary lens through which we understand the spread of information over social networks. However, simple contagion models cannot reproduce the complex features observed in real-world data, leading to research on more complicated complex contagion models. A noted feature of complex contagion is social reinforcement that individuals require multiple exposures to information before they begin to spread it themselves. Here we show that the quoter model, a model of the social flow of written information over a network, displays features of complex contagion, including the weakness of long ties and that increased density inhibits rather than promotes information flow. Interestingly, the quoter model exhibits these features despite having no explicit social reinforcement mechanism, unlike complex contagion models. Our results highlight the need to complement contagion models with an information-theoretic view of information spreading to better understand how network properties affect information flow and what are the most necessary ingredients when modeling social behavior.
