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Microcosm: visual discovery, exploration and analysis of social communities

Published: 24 February 2014 Publication History

Abstract

Social communities play an important role in many domains. While a lot of attention has been given to developing efficient methods for detecting and analyzing social communities, it still remains a great challenge to provide intuitive search interfaces for end-users who wish to discover and explore such communities. Trying to fill the gaps, in this demonstration we present Microcosm: a holistic solution for visual discovery, exploration and analysis of social communities.

References

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Bezerianos, A., Chevalier, F., Dragicevic, P., Elmqvist, N., and Fekete, J. D. Graphdice: A system for exploring multivariate social networks. In Proceedings of EuroVis, Eurographics Association (Aire-la-Ville, Switzerland, Switzerland, 2010).
[2]
BhaT, S. Y., and Abulais, M. A. A density-based approach for mining overlapping communities from social network interactions. In Proceedings of WIMS, ACM (New York, NY, USA, 2012).
[3]
Papadopoulus, S., Kompatsiaris, Y., Vakali A., and Spyridonos, P. Community detection in social media. Data Min. Knowl. Discov. 24, 3 (May 2012).
[4]
Sander, J., Ester, M., Kriegel, H.-P., and Xu, X. Density-based clustering in spatial databases: The algorithm gdbscan and its applications. Data Min. Knowl. Discov. 2, 2 (June 1998).
[5]
Sun, J., Papadimitriou, S., Lin, C.-Y., Cao., N., Liu, S., and Qian, W. Multivis: Content-based social network exploration through multi-way visual analysis. In Proceedings of SDM, Sparks, Nevada, USA (2009).

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    Published In

    cover image ACM Conferences
    IUI '14 Companion: Companion Proceedings of the 19th International Conference on Intelligent User Interfaces
    February 2014
    100 pages
    ISBN:9781450327299
    DOI:10.1145/2559184
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 February 2014

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    Author Tags

    1. discovery
    2. exploration
    3. social communities
    4. visualization

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