Research on Knowledge Sharing in Virtual Academic Community Based on Social Network Analysis

Abstract

[Purpose/significance] The rise of virtual academic community provides a new channel for researchers to cooperate and exchange, participate in peer review, and share their research results. Faced with the dispersion, fragmentation and timeliness of the vast amount of academic information in science 2.0 environment, how to promote the rapid and efficient knowledge sharing among researchers with virtual academic community has become an important issue in the era of big data. [Method/process] This paper took the scientific network as an example, used the social network analysis method to dig the opinion leader in the virtual academic community, and pointed out the opinion leader plays an important role in the knowledge sharing by calculating the centrality and influence coefficient and so on. Finally, it designed the virtual academic community member relation model, and further analyzed the main factors that affect the knowledge sharing. [Result/conclusion] It constructed the knowledge sharing path of virtual academic community, realized the collaborative development of online and offline, improved the coupling and reuse of knowledge, and promote scientific innovation.

Keywords

• virtual academic community