Supporting CSCW and CSCL with Intelligent Social Grouping Services
Jeffrey J.P. Tsai (University of Illinois-Chicago, USA), Jia Zhang (Northern Illinois University, USA), Jeff J.S. Huang (National Central University, Taiwan) and Stephen J.H. Yang (National Central University, Taiwan)
Copyright: © 2009
This article presents an intelligent social grouping service for identifying right participants to support CSCW and CSCL. We construct a three-layer hierarchical social network, in which we identify two important relationship ties – a knowledge relationship tie and a social relationship tie. We use these relationship ties as metric to measure the collaboration strength between pairs of participants in a social network. The stronger the knowledge relationship tie, the more knowledgeable the participants; the stronger the social relationship tie, the more likely the participants are willing to share their knowledge. By analyzing and calculating these relationship ties among peers using our computational models, we present a systematic way to discover collaboration peers according to configurable and customizable requirements. Experiences of social grouping services for identifying communities of practice through peer-to-peer search are also reported.