Social Network Analysis Application in Tacit Knowledge Management

Abstract

Since its special spreading charactaristic and individual speciality, tacit knowledge become the difficult part in knowledge management. In this article, the author explains how to manage tacit knowledge effectively through social relation network analysis, and further analyze quantatively such key indexes as network's whole structural, network's mean density, average distance, node centrality in a network, network's degree centrality, betweenness centrality of network in an organization by social relation network. In the end, this article believes that social relation network analysis can be used to analyze quantitatively and manage tacit knowledge effectively.