TY - GEN
T1 - Analyzing community knowledge sharing behavior
AU - Kleanthous, Styliani
AU - Dimitrova, Vania
PY - 2010
Y1 - 2010
N2 - The effectiveness of personalized support provided to virtual communities depends on what we know about a particular community and in which areas the community may need support. Following organizational psychology theories, we have developed algorithms to automatically detect patterns of knowledge sharing in a closely-knit virtual community, focusing on transactive memory, shared mental models, and cognitive centrality. The automatic detection of problematic areas enables taking decisions about notifications targeted at different community members but aiming at improving the functioning of the community as a whole. The paper presents graph-based algorithms for detecting community knowledge sharing patterns, and illustrates, based on a study with an existing community, how these patterns can be used for community-tailored support.
AB - The effectiveness of personalized support provided to virtual communities depends on what we know about a particular community and in which areas the community may need support. Following organizational psychology theories, we have developed algorithms to automatically detect patterns of knowledge sharing in a closely-knit virtual community, focusing on transactive memory, shared mental models, and cognitive centrality. The automatic detection of problematic areas enables taking decisions about notifications targeted at different community members but aiming at improving the functioning of the community as a whole. The paper presents graph-based algorithms for detecting community knowledge sharing patterns, and illustrates, based on a study with an existing community, how these patterns can be used for community-tailored support.
KW - Closely-knit Communities
KW - Community Knowledge Sharing
KW - Graph Mining for Community Modelling
UR - http://www.scopus.com/inward/record.url?scp=77954579769&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-13470-8_22
DO - 10.1007/978-3-642-13470-8_22
M3 - Conference contribution
AN - SCOPUS:77954579769
SN - 3642134696
SN - 9783642134692
VL - 6075 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 231
EP - 242
BT - User Modeling, Adaptation, and Personalization - 18th International Conference, UMAP 2010, Proceedings
T2 - 18th International Conference on User Modeling, Adaptation and Personalization, UMAP 2010
Y2 - 20 June 2010 through 24 June 2010
ER -