A general evolving model for growing bipartite networks

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.

► We proposed a general evolving bipartite network model which was based on priority connection, reconnection and breaking edges.
► We prove that the degree distribution of two different kinds of nodes both obey power-law form with adjustable exponents.
► 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.