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Phys Rev Lett. 2011 Dec 2;107(23):238701. Epub 2011 Dec 1.

Temporal effects in the growth of networks.

Author information

1
Physics Department, University of Fribourg, CH-1700 Fribourg, Switzerland.

Abstract

We show that to explain the growth of the citation network by preferential attachment (PA), one has to accept that individual nodes exhibit heterogeneous fitness values that decay with time. While previous PA-based models assumed either heterogeneity or decay in isolation, we propose a simple analytically treatable model that combines these two factors. Depending on the input assumptions, the resulting degree distribution shows an exponential, log-normal or power-law decay, which makes the model an apt candidate for modeling a wide range of real systems.

PMID:
22182132
DOI:
10.1103/PhysRevLett.107.238701
[Indexed for MEDLINE]

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