Complex Contagion Features without Social Reinforcement in a Model of Social Information Flow

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 com...

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Detalhes bibliográficos

Principais autores:	Tyson Pond, Saranzaya Magsarjav, Tobin South, Lewis Mitchell, James P. Bagrow
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-02-01
coleção:	Entropy
Assuntos:	online social networks social media information spreading information diffusion cross-entropy
Acesso em linha:	https://www.mdpi.com/1099-4300/22/3/265
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