2005/05/06 by Sune Lehmann, S. Lehmann, A. D. Jackson +1
Physics and Astronomy · #Complex Network Analysis Techniques #Complex network #Computer network #Computer science #Degree distribution #Evolving networks #Opinion Dynamics and Social Influence #Preferential attachment #Theoretical and Computational Physics #Theoretical computer science #World Wide Web #physics.soc-ph
paper · pdf · doi:10.1007/s10588-005-3942-1
published as Computational & Mathematical Organization Theory, Volume 11, Pages 161-179 (2005). · 12 pages, 3 figures. To be published in Computational and Mathematical Organization Theory
arxiv created 2005/05/06 · openalex publication_date 2005/07/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.