Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ardissono, L., et al.: Context-aware notification management in an integrated collaborative environment. In: Proceedings of International Workshop on Adaptation and Personalization for Web 2.0 (AP-Web 2.0 2009) at UMAP’09: Trento, Italy (2009)
Baghaei, N., Mitrovic, A.: From modelling domain knowledge to metacognitive skills: Extending a constraint-based tutoring system to support collaboration. In: Conati, C., McCoy, K., Paliouras, G. (eds.) UM 2007. LNCS (LNAI), vol. 4511, pp. 217–227. Springer, Heidelberg (2007)
Bretzke, H., Vassileva, J.: Motivating Cooperation on Peer to Peer Networks. In: Brusilovsky, P., Corbett, A.T., de Rosis, F. (eds.) UM 2003. LNCS (LNAI), vol. 2702, pp. 218–227. Springer, Heidelberg (2003)
Cheng, R., Vassileva, J.: Design and evaluation of an adaptive incentive mechanism for sustained educational online communities. J. of UMUAI 16(3), 321–348 (2006)
Farzan, R., et al.: Spreading the honey: a system for maintaining an online community. In: Proceedings of the ACM GROUP 2009 conference Florida, USA, pp. 31–40. ACM, New York (2009)
Harper, M., et al.: Talk amongst yourselves: inviting users to participate in online conversations. In: Proceedings of the 12th Int. Conf. on Intelligent User Interfaces (IUI’07), Honolulu, Hawaii, USA, pp. 62–71. ACM, New York (2007)
Ilgen, D.R., et al.: Teams in Organizations: From Input - Process - Output Models to IMOI Models. Annual Review of Psychology (56), 517–543 (2005)
Kameda, T., et al.: Centrality in Sociocognitive Networks and Social Influence: An Illustration in a Group Decision-Making Context. Journal of Personality and Social Psychology 73(2), 309 (1997)
Kleanthous, S.: Personalised Support for Knowledge Sharing in Virtual Communities. School of Computing University of Leeds, Leeds (expected submission) (May 2010)
Kleanthous, S., Dimitrova, V.: Modelling Semantic Relationships and Centrality to Facilitate Community Knowledge Sharing. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 123–132. Springer, Heidelberg (2008)
Lave, J., Wenger, E.: Situated Learning: Legitimate Peripheral Participation. Cambridge University Press, New York (1991)
Mohammed, S., Dumville, B.C.: Team mental models in a team knowledge framework: expanding theory and measurement across disciplinary boundaries. Journal of Organizational Behavior 22(2), 89–106 (2001)
Raghavun, K., Vassileva, J.: Visualizing reciprocal and non-reciprocal relationships in an online community. In: AP-Web 2.0 workshop @ UMAP’09, Trento, Italy (2009)
Shami, S., et al.: That’s what friends are for: facilitating ‘who knows what’ across group boundaries. In: Proceedings of the ACM 2007 GROUP conference, Florida, USA, pp. 379–382. ACM, New York (2007)
Thomas-Hunt, M., et al.: Who’s Really Sharing? Effects of Social and Expert Status on Knowledge Exchange Within Groups. Management Science 49(4), 464–477 (2003)
Upton, K., Kay, J.: Narcissus: group and individual models to support small group work. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 54–65. Springer, Heidelberg (2009)
Wegner, D.M.: Transactive Memory: A Contemporary Analysis of the Group Mind. In: Mullen, B., et al. (eds.) Theories of Group Behavior, pp. 185–208. Springer, Heidelberg (1986)
Zhang, J., et al.: Expertise networks in online communities: structure and algorithms. In: Int. Conf. on WWW 2007, Alberta, Canada, pp. 221–230. ACM, New York (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kleanthous, S., Dimitrova, V. (2010). Analyzing Community Knowledge Sharing Behavior. In: De Bra, P., Kobsa, A., Chin, D. (eds) User Modeling, Adaptation, and Personalization. UMAP 2010. Lecture Notes in Computer Science, vol 6075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13470-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-13470-8_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13469-2
Online ISBN: 978-3-642-13470-8
eBook Packages: Computer ScienceComputer Science (R0)