Physics – Physics and Society
Scientific paper
2005-05-06
Computational & Mathematical Organization Theory, Volume 11, Pages 161-179 (2005).
Physics
Physics and Society
12 pages, 3 figures. To be published in Computational and Mathematical Organization Theory
Scientific paper
10.1007/s10588-005-3942-1
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.
Jackson Andrew D.
Lehmann Sabine
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