Title
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, log-normal or power-law decay, which makes the model an apt candidate for modeling a wide range of real systems.
Year
DOI
Venue
2011
10.1103/PhysRevLett.107.238701
PHYSICAL REVIEW LETTERS
Keywords
DocType
Volume
social system,economic system,degree distribution,power law
Journal
107
Issue
ISSN
Citations 
23
0031-9007
33
PageRank 
References 
Authors
1.87
0
3
Name
Order
Citations
PageRank
Matus Medo126321.28
Giulio Cimini212613.77
Stanislao Gualdi3453.53