刊名:Communications in Nonlinear Science and Numerical Simulation
出版年:2017
出版时间:March 2017
年:2017
卷:44
期:Complete
页码:482-494
全文大小:1097 K
文摘
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Presented a closed form formula combining the preferential attachment rule and homophily.
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Formula can intuitively explain concave, convex, and linear shapes of cumulative degree distributions of empirical complex networks.
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Homophily increases the effect of scale-free networks of making the rich richer.
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