Detecting changes over time in a knowledge sharing community

Styliani Kleanthous, Vania Dimitrova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

There is an establishing trend towards the socialization of the web. Virtual communities are becoming very popular web spaces for collaboration and knowledge sharing. However, studies have shown that virtual communities may often be ineffective and may not sustain. We propose a novel approach for community-tailored support which is aimed at facilitating processes important for the community's effectiveness and sustainability. The paper presents algorithms for detecting evolution patterns of community knowledge sharing behavior. The algorithms are applied to a model of an existing closely-knit community, and used to identify when and what intelligent interventions may be needed to support the functioning of the community as an entity.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009
Pages100-107
Number of pages8
Volume1
DOIs
Publication statusPublished - 2009
Event2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009 - Milano, Italy
Duration: 15 Sep 200918 Sep 2009

Other

Other2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009
CountryItaly
CityMilano
Period15/09/0918/09/09

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  • Cite this

    Kleanthous, S., & Dimitrova, V. (2009). Detecting changes over time in a knowledge sharing community. In Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009 (Vol. 1, pp. 100-107). [5286088] https://doi.org/10.1109/WI-IAT.2009.21