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Research on Performance Evaluating System of Knowledge Sharing Based on Social Network in Virtual Learning Communities
Author(s): 
Pages: 42-50
Year: Issue:  3
Journal: Distance Education Journal

Keyword:  Virtual learning communitiesSocial networkKnowledge sharingPerformance evaluation;
Abstract: Virtual communities is an important platform for knowledge sharing and innovation, social network analysis can ef-fectively evaluate performance of knowledge sharing through analyzing structural characteristics of communities. Through reviewing the existing systems of social network analysis oriented to performance evaluating of knowledge sharing as well as the related research projects at home and aboard, the research finds that there are many disadvantages, such as non-instant, over-specialization, non-per-tinence and so on. It then proposes a solution of the system that can evaluate performance of knowledge sharing based social network in virtual communities, which includes two function modules: index calculation and graph drawing. The former calculates a set of SNA indicators, such as network density, point centrality, betweenness centrality, network centralization and cohesive subgroup. The latter draws four kinds of graph of community’s structure, including directed social graph, undirected social graph, cohesive sub-group graph and central position graph. The proposed system is designed to support administrators and members of virtual communities eval-uating performance of knowledge sharing. Furthermore, this paper describes the key technology used to implement this system, pre-sents the indicative use case based the system for evaluating performance of knowledge sharing, and points out two deficiencies that need overcome in future.
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