Abstract
In order to have a successful VCoP two important tasks must be performed: on the one hand, it is always important that community provide useful information to every member by a good organization of contents and topics; on the other hand, to understand the behavior of members (i.e. which are the key members or experts, discover communities, etc). Social Network Analysis (SNA) is a powerful tool to understand the communities’ members, however, our theses is that state-of-the-art in SNA it is not sufficient to obtain useful knowledge from a VCoP. Moreover, we think that traditional SNA may lead to discover wrong results. We propose to combine traditional SNA with data mining techniques in order to produce results closer to reality and gather useful knowledge for VCoPs’ enhancement. In this work, we focused in discovering key members on a VCoP combining SNA with concept-based text mining.We successfully tested our approach on a real VCoP with more than 2500 members and we validate our results asking the community administrators.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amatriain, X., Lathia, N., Pujol, J.M., Kwak, H., Oliver, N.: The wisdom of the few: a collaborative filtering approach based on expert opinions from the web. In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Boston, MA, USA, pp. 532–539. ACM, New York (2009)
Bourhis, A., Dub, L., Jacob, R., et al.: The success of virtual communities of practice: The leadership factor. The Electronic Journal of Knowledge Management 3(1), 23–34 (2005)
Hong, L., Davison, B.D.: A classification-based approach to question answering in discussion boards. In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Boston, MA, USA, pp. 171–178. ACM, New York (2009)
Kim, W., Jeong, O., Lee, S.: On social web sites. Information Systems 35(2), 215–236 (2010)
Liu, X., Croft, W.B., Koll, M.: Finding experts in community-based question-answering services. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, Bremen, Germany, pp. 315–316. ACM, New York (2005)
Pfeil, U., Zaphiris, P.: Investigating social network patterns within an empathic online community for older people. Computers in Human Behavior 25(5), 1139–1155 (2009)
Probst, G., Borzillo, S.: Why communities of practice succeed and why they fail. European Management Journal 26(5), 335–347 (2008)
Ríos, S., Aguilera, F., Guerrero, L.: Virtual communities of practices purpose evolution analysis using a Concept-Based mining approach. In: Knowledge-Based and Intelligent Information and Engineering Systems, pp. 480–489 (2009)
Wenger, E., McDermott, R.A., Snyder, W.: Cultivating communities of practice. Harvard Business Press, Boston (2002)
Yelupula, K., Ramaswamy, S.: Social network analysis for email classification. In: Proceedings of the 46th Annual Southeast Regional Conference on XX, Auburn, Alabama, pp. 469–474. ACM, New York (2008)
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
Alvarez, H., Ríos, S.A., Aguilera, F., Merlo, E., Guerrero, L. (2010). Enhancing Social Network Analysis with a Concept-Based Text Mining Approach to Discover Key Members on a Virtual Community of Practice. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15390-7_61
Download citation
DOI: https://doi.org/10.1007/978-3-642-15390-7_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15389-1
Online ISBN: 978-3-642-15390-7
eBook Packages: Computer ScienceComputer Science (R0)