A general evolving model for growing bipartite networks |
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| Authors: | Lixin Tian Yinghuan He Haijun Liu Ruijin Du |
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| Institution: | 1. Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang, Jiangsu 212013, PR China;2. Faculty of Science, Jiangsu University, Zhenjiang, Jiangsu 212013, PR China;3. Institute of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu 212013, PR China;4. College of Mathematics Science, Chongqing Normal University, Chongqing 401331, PR China |
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| Abstract: | In this Letter, we propose and study an inner evolving bipartite network model. Significantly, we prove that the degree distribution of two different kinds of nodes both obey power-law form with adjustable exponents. Furthermore, the joint degree distribution of any two nodes for bipartite networks model is calculated analytically by the mean-field method. The result displays that such bipartite networks are nearly uncorrelated networks, which is different from one-mode networks. Numerical simulations and empirical results are given to verify the theoretical results. |
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| Keywords: | Complex networks Bipartite network Degree distribution Joint degree distribution |
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