Study on the algorithms for shaping a team's internal complex scientific research networks

The purpose of this paper is to analyze team members' complex scientific research relationships and shape the team's internal complex scientific research networks. The social network analysis method and fuzzy method are used to analyze team members' scientific research relationships on the basis of their cross-citations, collaborations, co-words, bibliographic coupling and co-citations. The team members' roles in the scientific research processes are defined and the algorithms for shaping a team's internal five kinds of complex scientific research networks are presented, rather than just presenting the algorithms for shaping one kind of network. It is found that there are complex relations among those networks, and the algorithms presented in this paper may lay a unified theoretic analysis framework to build a team's internal complex scientific research networks and analyze those networks' structures.