Social Network Analysis on Knowledge Sharing of Scientific Groups

Knowledge sharing and knowledge flows of scientific groups have become an important factor affecting the development of the groups. On account of the mutual communication and collaboration in scientific, academic and research paper field, an invisible relationship network has been formed among them --knowledge sharing of scientific group network. Therefore, a good mastery of the network structure and characteristics of the scientific groups can be of some help in knowing where knowledge flows, how scientific information is exchanged among members. It can promote the communication and collaboration among members and the formation and development of scientific groups. The research applies SNA to study the strength relation, small groups and coreness to detect the problems in knowledge flow within groups with the help of quantitative description, measure knowledge network. SNA is used in the analysis of group knowledge network. And from the perspective of improved network structure, management strategies can be suggested to improve knowledge sharing ability in the scientific collaborative network.