Journal
PHYSICAL REVIEW LETTERS
Volume 107, Issue 23, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.107.238701
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Funding
- EU [231200]
- Swiss National Science Foundation [200020-132253]
- Swiss National Science Foundation (SNF) [200020_132253] Funding Source: Swiss National Science Foundation (SNF)
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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.
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