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Updated: Jul 19, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
Phenomenological models of socioeconomic network dynamics
George C M A Ehrhardt1, Matteo Marsili, Fernando Vega-Redondo
1The Abdus Salam ICTP, Strada Costiera 11, I-34014 Trieste, Italy. gehrhard@ictp.trieste.it
Abstract:
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.
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