Social Capital in Virtual Learning Communities and Distributed Communities of Practice

Social Capital in Virtual Learning Communities and Distributed Communities of Practice*

Social capital has recently emerged as an important interdisciplinary research area. It is frequently used as a framework for understanding various social issues in temporal communities, neighbourhoods and groups. In particular, researchers in the social sciences and the humanities have used social capital to understand trust, shared understanding, reciprocal relationships, social network struc...

Communities of practice , social learning and networks :

A Bayesian Computational Model of Social Capital in Virtual Communities

The theory of social capital (SC) is frequently discussed in the social sciences and the humanities. There is a plethora of research studies, which seek to define and empirically test the idea of SC in a number of ways. This growing body of research has only supported the significance of (SC) in physical communities. While many attempts have been made to examine different forms of social capita...

Virtual Communities of Practice

When knowledge management (KM) began to emerge in the 1990s it was seen as an innovative solution to the problems of managing knowledge in a competitive and increasingly internationalised business environment. However, in practice it was often little more than information management re-badged (Wilson, 2002). More recently, there has been recognition of the importance of more subtle, softer type...

Detecting Overlapping Communities in Social Networks using Deep Learning

In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...