Extension of Channel and Optimization of Management of Knowledge Sharing in Science Group - Based on Analysis of Interpersonal Network

This research paper is devoted to the research on the relationship between locations of members in the science groups and their behaviors in knowledge sharing. Social network analysis has been used in the study of characteristics of the knowledge sharing and management of the science group members. The analysis of network density, centrality and intermediary features as well as the structural features can lead to the mastery of the direction of knowledge flow and management location from the perspective of quantity measurement. This can make it possible to detect the problems existing in the knowledge sharing and management of science groups. What has been done can promote the exchange of scientific information between members and enhance the communication and cooperation between members, thus optimizing the strategies of forming and managing science groups.