Meerkat: Community Mining with Dynamic Social Networks
- Jiyang Chen
- Justin Fagnan
- Randy Goebel
- Reihaneh Rabbany
- Farzad Sangi
- Mansoureh Takaffoli
- Eric Verbeek
- Osmar R. Zaiane, University of Alberta (Database)
Meerkat is a tool for visualization and community mining of social networks. It is being developed to offer novel algorithms and functionality that other tools do not possess. Meerkat’s features include navigation through graphical representations of networks, network querying and filtering, a multitude of graphical layout algorithms, community mining using recently developed algorithms, and dynamic network event analysis using recently published algorithms. These features will allow more insightful exploratory analysis and more robust inferences about communities and the significance of entity relationships. Meerkat is under active development, and future features will include additional options for community mining and visualization, focusing on algorithms and user interface designs not existing in other social network analysis tools.
Citation
J. Chen, J. Fagnan, R. Goebel, R. Rabbany, F. Sangi, M. Takaffoli, E. Verbeek, O. Zaiane. "Meerkat: Community Mining with Dynamic Social Networks". IEEE International Conference on Data Mining (ICDM), pp 1377-1380, December 2010.| Keywords: | social networks, informational networks, community mining |
| Category: | In Conference |
| Web Links: | IEEE |
BibTeX
@incollection{Chen+al:ICDM10,
author = {Jiyang Chen and Justin Fagnan and Randy Goebel and Reihaneh Rabbany
and Farzad Sangi and Mansoureh Takaffoli and Eric Verbeek and Osmar R.
Zaiane},
title = {Meerkat: Community Mining with Dynamic Social Networks},
Pages = {1377-1380},
booktitle = {IEEE International Conference on Data Mining (ICDM)},
year = 2010,
}Last Updated: January 15, 2020Submitted by Sabina P
