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Live and Dead Nodes

Author

Listed:
  • S. Lehmann

    (Informatics and Mathematical Modeling)

  • A. D. Jackson

    (The Niels Bohr Institute)

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.

Suggested Citation

  • S. Lehmann & A. D. Jackson, 2005. "Live and Dead Nodes," Computational and Mathematical Organization Theory, Springer, vol. 11(2), pages 161-170, July.
    • Handle: RePEc:spr:comaot:v:11:y:2005:i:2:d:10.1007_s10588-005-3942-1
    DOI: 10.1007/s10588-005-3942-1
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    References listed on IDEAS

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    1. S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 4(2), pages 131-134, July.
    2. Derek De Solla Price, 1976. "A general theory of bibliometric and other cumulative advantage processes," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(5), pages 292-306, September.
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