Emergent structures in large networks
David Aristoff, Charles Radin

TL;DR
This paper investigates phase transitions in large exponential random graph models, demonstrating the emergence of multipartite structures in certain parameter regions and identifying a transition from disordered graphs.
Contribution
It proves the existence of a phase transition leading to multipartite structures in exponential random graph models.
Findings
Existence of a parameter region with multipartite structure
Identification of a phase transition separating disordered and structured graphs
Theoretical characterization of emergent network structures
Abstract
We consider a large class of exponential random graph models and prove the existence of a region of parameter space corresponding to multipartite structure, separated by a phase transition from a region of disordered graphs.
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Taxonomy
TopicsComplex Network Analysis Techniques · Stochastic processes and statistical mechanics · Theoretical and Computational Physics
