Study on the Algorithms for Shaping a Teams Internal Complex Scientific Research Networks
The purpose of this paper is to analyze team members complex scientific research relationships and shape the Teams 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 teams 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 teams internal complex scientific research networks and analyze those networks structures.
Teams internal scientific research networks Social network analysis Shaping algorithms
Limei Zhao
School of Information Management, Heilongjiang University, Harbin, 150080
国际会议
长沙
英文
5340-5345
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）