A Spectral Analysis Approach for Social Media Community Detection
Online forums are ideal platforms for worldwide Internet users to share ideas, raise discussions and disseminate information. It is of great interest to gain a better understanding on the dynamic of user interactions and identify user communities in online forums. In this paper, we propose a temporal coherence analysis approach to detect user communities in online forum. Users are represented by vectors of activeness and communities are extracted by a soft community detection algorithm with the support of spectral analysis.
KeywordsSpectral Analysis Community Detection Soft Clustering
Unable to display preview. Download preview PDF.
- 5.Falkowski, T., Bartelheimer, J., Spiliopoulou, M.: Mining and Visualizing the Evolution of Subgroups in Social Networks. In: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 52–58. IEEE Computer Society, Los Alamitos (2006)Google Scholar
- 7.Aggarwal, C., Yu, P.: Online analysis of community evolution in data streams. In: Proceedings of the SIAM International Conference on Data Mining (SDM 2005), pp. 56–67 (2005)Google Scholar
- 8.He, Q., Chang, K., Lim, E.: Analyzing feature trajectories for event detection. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 207–214. ACM, New York (2007)Google Scholar