Data/hora: 11/06/2024 09:23:30

Provedor de dados: 	31	
País: 	United States	
Título: 	How Homophily Affects Learning and Diffusion in Networks	
Autores: 	Golub,   Benjamin; Jackson,   Matthew O.	
Data: 	2009-06-03	
Ano: 	2009	
Palavras-chave: 	Networks; Learning; Diffusion; Homophily; Friendships; Social Networks; Random Graphs; Mixing Time; Convergence; Speed of Learning; Speed of Convergence; Institutional and Behavioral Economics; D83; D85; I21; J15; Z13.	
Resumo: 	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.	
Tipo: 	Working or Discussion Paper	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/50718	
Relação: 	Fondazione Eni Enrico Mattei (FEEM)&gt;Sustainable Development Papers

SD

35.2009	
Formato: 	69