By building expert knowledge network and social network analysis, this article proposes the identification and evaluation methods of expert knowledge. Based on the analysis on the relationship between the knowledge points, the expert knowledge network is built. Then through social network analysis, the article obtains expert knowledge fields at different levels and achieves to identify expert knowledge and establish the expert knowledge system. We also use the journal impact factor and network analysis indicators to realize the knowledge evaluation according to classification. © Springer-Verlag Berlin Heidelberg 2011.
CITATION STYLE
Gu, G., & Deng, W. (2012). Advances in Multimedia, Software Engineering and Computing Vol.1. (K. Janusz, Ed.), Advances in Intelligent and Soft Computing (Vol. 128, pp. 219–225). Springer Berlin Heidelberg. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84555206032&partnerID=tZOtx3y1
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