Cultivating Communities of Practice: A Guide to Managing Knowledge
Cultivating Communities of Practice: A Guide to Managing Knowledge
Finding experts in community-based question-answering services
Proceedings of the 14th ACM international conference on Information and knowledge management
Investigating social network patterns within an empathic online community for older people
Computers in Human Behavior
A classification-based approach to question answering in discussion boards
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
The wisdom of the few: a collaborative filtering approach based on expert opinions from the web
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Social network analysis for email classification
Proceedings of the 46th Annual Southeast Regional Conference on XX
Information Systems
Virtual Communities of Practice's Purpose Evolution Analysis Using a Concept-Based Mining Approach
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Leveraging Social Network Analysis with Topic Models and the Semantic Web
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
A dissimilarity measure for automate moderation in online social networks
Proceedings of the 4th International Workshop on Web Intelligence & Communities
Leveraging social network analysis with topic models and the Semantic Web extended
Web Intelligence and Agent Systems - Web Intelligence and Communities
A new dissimilarity measure for online social networks moderation
Web Intelligence and Agent Systems - Web Intelligence and Communities
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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.