Dynamical evolution behavior of scientific collaboration hypernetwork

Scientific collaboration has a complex hypernetwork structure. How to construct scientific in system is an open issue. In this paper, non-uniform dynamic collaborative evolution model proposed. the proposed method, each scholar viewed as node, and cooperation relationship regarded hyperedge. This includes three processes: adding hyperedges, entering nodes, forming hyperedges by new nodes. It theoretically proved that hyperdegree distribution of nodes follows power law distribution. Furthermore, effects different parameters on are numerically simulated paper. The experimental results consistent with theoretical ones. addition, experiments show influence will affect selection old when enter network. paper not only considers construction but also possibility among themselves. provides reference for research process hypernetworks.