G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
How Homophily Affects Learning and Diffusion in Networks
Benjamin Golub; Matthew O. Jackson
发表日期2009
出处Climate Change and Sustainable Development
出版年2009
语种英语
摘要We examine how three different communication processes operating through social networks are affected by homophily - the tendency of individuals to associate with others similar to themselves. Homophily has no effect if messages are broadcast or sent via shortest paths; only connection density matters. In contrast, homophily substantially slows learning based on repeated averaging of neighbors' information and Markovian diffusion processes such as the Google random surfer model. Indeed, the latter processes are strongly affected by homophily but completely independent of connection density, provided this density exceeds a low threshold. We obtain these results by establishing new results on the spectra of large random graphs and relating the spectra to homophily. We conclude by checking the theoretical predictions using observed high school friendship networks from the Adolescent Health dataset.
特色分类D83,D85,I21,J15,Z13
关键词Networks,Learning,Diffusion,Homophily,Friendships,Social Networks,Random Graphs,Mixing Time,Convergence,Speed of Learning,Speed of Convergence
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/how-homophily-affects-learning-and-diffusion-in-networks/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/117713
推荐引用方式
GB/T 7714
Benjamin Golub,Matthew O. Jackson. How Homophily Affects Learning and Diffusion in Networks. 2009.
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