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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 |
URL | https://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. |
条目包含的文件 | 条目无相关文件。 |
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