Study on the Algorithms for Shaping a Team’s Internal Complex Scientific Research Networks
作者单位：School of Information ManagementHeilongjiang University
会议名称：《第26届中国控制与决策会议》
会议日期：2014年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by the National Social Science Foundation of China under Grant No.12CTQ029 the Ministry of education of Humanities and Social Science project in China under Grant No.13YJC630166 the Philosophy and Social Science.Research Project in Heilongjiang Province of China under Grant No.13D040
关 键 词：Team’s internal scientific research networks Social network analysis Shaping algorithms
摘 要：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.