Evaluating cooperation in communities with the k-core structure

Christos Giatsidis, Dimitrios M. Thilikos, Michalis Vazirgiannis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Community subgraphs are characterized by dense connections or interactions among its nodes. Community detection and evaluation is an important task in graph mining. A variety of measures have been proposed to evaluate the quality of such communities. In this paper, we evaluate communities based on the k-core concept, as means of evaluating their collaborative nature - a property not captured by the single node metrics or by the established community evaluation metrics. Based on the k-core, which essentially measures the robustness of a community under degeneracy, we extend it to weighted graphs, devising a novel concept of k-cores on weighted graphs. We applied the k-core approach on large real world graphs - such as DBLP and report interesting results.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
PublisherIEEE Computer Society
Pages87-93
Number of pages7
ISBN (Print)9780769543758
DOIs
StatePublished - 2011

Publication series

NameProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

Keywords

  • Co-authorship graphs
  • Community evaluation
  • Graph mining
  • K-core

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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