Line graphs of weighted networks for overlapping communities

T.S. Evans, R. Lambiotte

    Research output: Contribution to journalArticle

    135 Downloads (Pure)

    Abstract

    In this paper, we develop the idea to partition the edges of a weighted graph in order to uncover overlapping communities of its nodes. Our approach is based on the construction of different types of weighted line graphs, i.e. graphs whose nodes are the links of the original graph, that encapsulate differently the relations between the edges. Weighted line graphs are argued to provide an alternative, valuable representation of the system's topology, and are shown to have important applications in community detection, as the usual node partition of a line graph naturally leads to an edge partition of the original graph. This identification allows us to use traditional partitioning methods in order to address the long-standing problem of the detection of overlapping communities. We apply it to the analysis of different social and geographical networks.
    Original languageEnglish
    Pages (from-to)265-272
    Number of pages8
    JournalEuropean Physical Journal B
    Volume77
    Issue number2
    DOIs
    Publication statusPublished - 1 Sep 2010

    Fingerprint Dive into the research topics of 'Line graphs of weighted networks for overlapping communities'. Together they form a unique fingerprint.

  • Cite this