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Network Homophily : ウィキペディア英語版 | Network Homophily
''Network homophily'' refers to the theory in network science which states that, based on node attributes, similar nodes may be more like to attach to each other than dissimilar ones. The hypothesis is linked to the model of preferential attachment and it draws from the phenomenon of homophily in social sciences and much of the scientific analysis of the creation of social ties based on similarity comes from network science.〔McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). "Birds of a Feather: Homophily in Social Networks". Annual Review of Sociology. 27:415–444.〕 In fact, empirical research seems to indicate the frequent occurrence of homophily in real networks. Homophily in social relations may lead to a commensurate distance in networks leading to the creation of clusters that have been observed in social networking services.〔Himelboim, I., Sweetser, K. D., Tinkham, S. F., Cameron, K., Danelo, M., & West, K. (2014). Valence-based homophily on Twitter: Network Analysis of Emotions and Political Talk in the 2012 Presidential Election. New Media & Society.〕 Homophily is a key topic in network science as it can determine the speed of the diffusion of information and ideas. == Node attributes and homophily == The existence of network homophily may necessitate a closer examination of node attributes as opposed to other theories on network evolution which focus on network properties. It is often assumed that nodes are identical and the evolution of networks is determined by the characteristics of the broader network such as the degree. Degree heterogeneity is also observed as a prevalent phenomenon (with a large number of nodes having a small number of links and a few of them having many).〔Albert, Réka; Barabási, Albert-László (2002). "Statistical mechanics of complex networks" (PDF). Reviews of Modern Physics 74: 47–97. arXiv:cond-mat/0106096.Bibcode:2002RvMP...74...47A. doi:10.1103/RevModPhys.74.47〕 It may be linked to homophily as the two seem to show similar characteristics in networks. A large number of excess links caused by degree heterogeneity might be confused with homophily.〔Graham, BS. (2014). “An empirical model of network formation: detecting homophily when agents are heterogeneous”. University of California, Berkley. 1-42. doi:10.3386/w20341 http://www.nber.org/papers/w20341.〕
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