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Evaluating Cooperation in coauthorship graphs with degeneracy

Abstract : We demonstrate a system that supports the visual explo- ration of collaboration networks. The system leverages the notion of fractional cores introduced in earlier work to rank vertices in a collaboration network and filter vertices' neigh- borhoods. Fractional cores build on the idea of graph degen- eracy as captured by the notion of k-cores in graph theory and extend it to undirected edge-weighted graphs. In a co- authorship network, for instance, the fractional core index of an author intuitively reflects the degree of collaboration with equally or higher-ranked authors. Our system has been deployed on a real-world co-authorship network derived from DBLP, demonstrating that the idea of fractional cores can be applied even to large-scale networks. The system provides an easy-to-use interface to query for the fractional core index of an author, to see who the closest equally or higher-ranked co-authors are, and explore the entire co-authorship network in an incremental manner.
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Conference papers
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Contributor : Dimitrios Thilikos <>
Submitted on : Thursday, November 14, 2013 - 5:17:45 PM
Last modification on : Thursday, November 26, 2020 - 3:50:02 PM


  • HAL Id : lirmm-00904582, version 1



Christos Giatsidis, Michalis Vazirgiannis, Dimitrios M. Thilikos. Evaluating Cooperation in coauthorship graphs with degeneracy. BDA: Bases de Données Avancées, Oct 2013, Nantes, France. ⟨lirmm-00904582⟩



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