Live and Dead Nodes

Sune Lehman Jørgensen, A. D. Jackson

    Research output: Contribution to journalJournal articleResearchpeer-review

    105 Downloads (Pure)

    Abstract

    In this paper, we explore the consequences of a distinction between `live' and `dead' network nodes; `live' nodes are able to acquire new links whereas `dead' nodes are static. We develop an analytically soluble growing network model incorporating this distinction and show that it can provide a quantitative description of the empirical network composed of citations and references (in- and out-links) between papers (nodes) in the SPIRES database of scientific papers in high energy physics. We also demonstrate that the death mechanism alone can result in power law degree distributions for the resulting network.
    Original languageEnglish
    JournalComputational and Mathematical Organization Theory
    Volume11
    Issue number2
    Pages (from-to)161-170
    Publication statusPublished - 2005

    Cite this