Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2003-07-14
PNAS | February 10, 2004 | vol. 101 | no. 6 | 1439-1442
Physics
Condensed Matter
Statistical Mechanics
5 pages 2 figures
Scientific paper
We propose a simple model of the evolution of a social network which involves local search and volatility (random decay of links). The model captures the crucial role the network plays for information diffusion. This is responsible for a feedback loop which results in a first-order phase transition between a very sparse network regime and a highly-connected phase. Phase coexistence and hysteresis take place for intermediate value of parameters. We derive a mean-field theory which correctly reproduces this behavior, including the distribution of degree connectivity and the non-trivial clustering properties.
Marsili Matteo
Slanina Frantisek
Vega-Redondo Fernando
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