Modelling Semantic Relationships and Centrality to Facilitate Community Knowledge Sharing Export

@incollection{citeulike:3320987, abstract = {Some of today's most widely spread applications are social systems where people can form communities and share knowledge. However, knowledge sharing is not always effective and communities often do not sustain. Can user modelling approaches help to identify what support could be offered and how this would benefit the community? The paper presents algorithms for extracting a model of a closely-knit virtual community following processes identified as important for effective communities. The algorithms are applied to get an insight of a real virtual community and to identify what support may be needed to help the community function better as an entity.}, author = {Kleanthous, Styliani and Dimitrova, Vania}, citeulike-article-id = {3320987}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-70987-9_15}, doi = {10.1007/978-3-540-70987-9_15}, journal = {Adaptive Hypermedia and Adaptive Web-Based Systems}, keywords = {adaptive\_support, algorithm, awareness, bscw, cognitive\_centrality, collaboration, community, community\_modeling, mental\_models, personalisation, social\_networks, transactive\_memory, user\_modelling}, pages = {123--132}, posted-at = {2008-09-23 12:37:43}, priority = {2}, title = {Modelling Semantic Relationships and Centrality to Facilitate Community Knowledge Sharing}, url = {http://dx.doi.org/10.1007/978-3-540-70987-9_15}, year = {2008} }

TY - CHAP ID - citeulike:3320987 L3 - citeulike-article-id:3320987 N2 - Some of today’s most widely spread applications are social systems where people can form communities and share knowledge. However, knowledge sharing is not always effective and communities often do not sustain. Can user modelling approaches help to identify what support could be offered and how this would benefit the community? The paper presents algorithms for extracting a model of a closely-knit virtual community following processes identified as important for effective communities. The algorithms are applied to get an insight of a real virtual community and to identify what support may be needed to help the community function better as an entity. JF - Adaptive Hypermedia and Adaptive Web-Based Systems EP - 132 TI - Modelling Semantic Relationships and Centrality to Facilitate Community Knowledge Sharing SP - 123 KW - adaptive_support KW - algorithm KW - awareness KW - bscw KW - cognitive_centrality KW - collaboration KW - community KW - community_modeling KW - mental_models KW - personalisation KW - social_networks KW - transactive_memory KW - user_modelling AU - Kleanthous, Styliani AU - Dimitrova, Vania PY - 2008/// UR - http://dx.doi.org/10.1007/978-3-540-70987-9_15 ER -