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2010
Springer

Analyzing Community Knowledge Sharing Behavior

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Analyzing Community Knowledge Sharing Behavior
The effectiveness of support provided to virtual communities depends strongly on what we know about a particular community of people and in what areas the community needs support. For this purpose, we have developed algorithms to automatically detect patterns that point out support needed for the effective knowledge sharing in a closely-knit virtual community. The automatic detection of problematic areas enables the development of intelligent solutions aimed at different community members, but, at the same time, supporting the knowledge sharing practice of the community as a whole. This paper will provide a brief overview of our approach which applies user modeling techniques, and will focus on graph based algorithms developed for detecting patterns that can be used to provide intelligent support to virtual communities. General Terms Algorithms, Human Factors Keywords Community knowledge sharing, closely-knit communities, adaptive support, community modelling
Styliani Kleanthous, Vania Dimitrova
Added 11 Jul 2010
Updated 11 Jul 2010
Type Conference
Year 2010
Where UM
Authors Styliani Kleanthous, Vania Dimitrova
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