Social Networks Mining Based on Information Retrieval Technologies and Bees Swarm Optimization: Application to DBLP
Unlike the previous works where detecting communities is performed on large graphs, our approach considers textual documents for discovering potential social networks. More precisely, the aim of this paper is to extract social communities from a collection of documents and a query specifying the domain of interest that may link the group. We propose a methodology which develops an information retrieval system capable to generate the documents that are in relationship with any topic. The authors of these documents are linked together to constitute the social community around the given thematic. The search process in the information retrieval system is designed using a bee swarm optimization method in order to optimize the retrieval time. Our approach was implemented and tested on CACM and DBLP and the time of building a social network is quasi instant.
Keywordssocial network knowledge mining information retrieval BSO DBLP
Unable to display preview. Download preview PDF.
- 4.Drias, H., Mosteghanemi, H.: Bees Swarm Optimization based Approach for Web Information Retrieval. In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp. 6–13 (2010)Google Scholar
- 5.Flake, G., Lawrence, S., Giles, C.: Efficient identification of web communities. In: KDD 2000, pp. 150–160 (2000)Google Scholar
- 7.Leskovec, J., Lang, K., Dasgupta, A., Mahoney, M.: Statistical properties of community structure in large social and information networks. In: WWW 2008: Proceedings of the 17th International Conference on World Wide Web, pp. 695–704 (2008)Google Scholar
- 10.Domingos, P., Richardson, M.: Mining the network value of customers. In: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, pp. 57–66. ACM Press (2001)Google Scholar
- 12.Van Rijsbergen, C.J.: Information Retrieval, 2nd edn. Butterworth, London (1979)Google Scholar
- 13.Salton, G.: The SMART retrieval system: experiments in automatic document processing. Prentice-Hall, Englewood Cliffs (1976)Google Scholar