Distribution characteristics of weighted bipartite evolving networks

• A model of weighted bipartite evolving networks is proposed.
• This model clinches four mechanisms for internal growth and deterioration.
• The weighted bipartite networks have the scare-free property in some situations.
• Numerical simulations results agree with the theoretical analyses.

Motivated by an evolving model of online bipartite networks, we introduce a model of weighted bipartite evolving networks. In this model, there are two disjoint sets of nodes, called user node set and object node set. Edges only exist between two disjoint sets. Edge weights represent the usage amount between a couple of user node and object node. This model not only clinches the bipartite networks’ internal mechanism of network growth, but also takes into account the object strength deterioration over time step. User strength and object strength follow power-law distributions, respectively. The weighted bipartite evolving networks have scare-free property in certain situations. Numerical simulations results agree with the theoretical analyses.