Physics – Physics and Society
Scientific paper
2006-04-05
Physics
Physics and Society
11 pages, 8 figures
Scientific paper
10.1103/PhysRevE.74.036106
We study a general set of models of social network evolution and dynamics. The models consist of both a dynamics on the network and evolution of the network. Links are formed preferentially between 'similar' nodes, where the similarity is defined by the particular process taking place on the network. The interplay between the two processes produces phase transitions and hysteresis, as seen using numerical simulations for three specific processes. We obtain analytic results using mean field approximations, and for a particular case we derive an exact solution for the network. In common with real-world social networks, we find coexistence of high and low connectivity phases and history dependence.
Ehrhardt George C. M. A.
Marsili Matteo
Vega-Redondo Fernando
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