Monitoring the status of a research community through a Knowledge Map
Web Intelligence and Agent Systems
Modeling Collaborations Content in Social Network Analysis
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Content-Based Social Network Analysis
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Discovering content-based behavioral roles in social networks
Decision Support Systems
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This paper presents a novel model for social network analysis in which, rather than analyzing the quantity of relationships (co-authorships, business relations, friendship, etc.), we analyze their communicative content. Text mining and clustering techniques are used to capture the content of communication and to identify the most popular themes. The social analyst is then able to perform a study of the network evolution in terms of the relevant themes of collaboration, the detection of new concepts gaining popularity, and the existence of popular themes that could benefit from better cooperation.The methodology is experimented in the domain of a Network of Excellence on enterprise interoperability, INTEROP.