Current software support for Communities of Practice provides its members with many sophisticated features for generating content and for communicating with each other via Internet or Intranet. However, functionalities to monitor, evaluate and communicate the quality and development of the underlying electronic networks between experts is largely missing. To meet this need, this contribution introduces a Social Network Intelligence software project which aims at supporting the analysis of the structure and value of Knowledge Communities by automatically extracting and mining available electronic data of various types of virtual communication networks, like e-mail archives, discussion groups, or instant messaging communication. The project′s structural visualizations utilize an integration of Social Network Intelligence and Keyword Extraction in order to develop a Knowledge Management perspective for virtual communication networks. Next to the comprehensive visualization concept, an approach for knowledge network measurement and evaluation is introduced. It supports the identification of important participants, topics, or clusters in the network, evaluates the communication structure, and traces the evolvement of the knowledge exchange over time.
Print ISSN: 1618-162X
Volume: 04, 02/2005
Pages: 029 - 036