Discovering groups of people in Google news
Proceedings of the 1st ACM international workshop on Human-centered multimedia
A Taxonomy Learning Method and Its Application to Characterize a Scientific Web Community
IEEE Transactions on Knowledge and Data Engineering
k-means++: the advantages of careful seeding
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Towards Semantic Social Networks
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
GlossExtractor: A Web Application to Automatically Create a Domain Glossary
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
A New Content-Based Model for Social Network Analysis
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
Topic and role discovery in social networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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This paper presents a methodology and a software application to support the analysis of collaborations and collaboration content in scientific communities. High quality terminology extraction, semantic graphs and clustering techniques are used to identify the relevant research topics. Social analysis tools are then used to study the emergence of interests around certain topics, the evolution of collaborations around these themes, and to identify potential for better cooperation.