Computational organization theory
Multiagent systems
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Ontologies Improve Text Document Clustering
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Social Network Extraction of Academic Researchers
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Improving Text Classification by Using Encyclopedia Knowledge
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
A social network-based approach to expert recommendation system
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
| Hi-index | 0.00 |
We proposed a framework to construct a semantic-based social network of academic researchers to discover hidden social relationships among the researchers in a particular domain. The challenging task in in the process is to detect accurate relationships that exist among researchers according to their expertise and academic experience. In this paper, we first construct content-based profiles of researchers by crawling online resources. Then background knowledge derived from Wikipedia ,represented in a semantic kernel, is employed to enrich the researchers' profiles. Researchers' social network is then constructed based on the similarities among semantic-based profiles. Social communities are then detected by applying the social network analysis and using factors such as experience, background, knowledge level, personal preferences. Representative members of a community are identified using the eigenvector centrality measure. An interesting application of the constructed social network in academic conferences, when there is a need to assign papers to relevant researchers for the review process, is investigated.