Drastic events make evolving networks

M. Ausloos, R. Lambiotte

    Research output: Contribution to journalArticlepeer-review

    103 Downloads (Pure)

    Abstract

    Co-authorship networks of neighbouring scientific disciplines, i.e. granular (G) media and networks (N) are studied in order to observe drastic structural changes in evolving networks. The data is taken from arXives. The system is described as coupled networks. By considering the 1995-2005 time interval and scanning the author-article network evolution with a mobile time window, we focus on the properties of the links, as well as on the time evolution of the nodes. They can be in three states, N, G or multi-disciplinary (M). This leads to drastic jumps in a so-called order parameter, i.e. the link proportion of a given type, forming the main island, that reminds of features appearing at percolation and during metastable (aggregation-desaggregation) processes. The data analysis also focuses on the way different kinds (N, G or M) of authors collaborate, and on the kind of the resulting collaboration.
    Original languageEnglish
    Pages (from-to)89-94
    Number of pages6
    JournalEuropean Physical Journal B
    Volume57
    Issue number1
    DOIs
    Publication statusPublished - 1 May 2007

    Fingerprint

    Dive into the research topics of 'Drastic events make evolving networks'. Together they form a unique fingerprint.

    Cite this