Temporal Effects in the Growth of Networks
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,...
Paper Details
Title
Temporal Effects in the Growth of Networks
Published Date
Dec 1, 2011
Journal
Volume
107
Issue
23
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