Multiscale genesis of a tiny giant for percolation on scale-free random graphs
Shankar Bhamidi, Souvik Dhara, Remco van der Hofstad

TL;DR
This paper investigates the critical behavior of percolation on scale-free random graphs with power-law degree distributions, revealing a novel phase transition where a tiny giant component suddenly emerges within the critical window.
Contribution
It identifies the critical window and describes the emergence of a tiny giant component in scale-free networks with exponent τ in (2,3), contrasting with known universality classes.
Findings
Existence of a finite time inside the critical window with sudden tiny giant emergence
Explicit critical parameter λ_c separating subcritical and supercritical regimes
Scaling limits of maximum component sizes described by inhomogeneous percolation models
Abstract
We study the critical behavior for percolation on inhomogeneous random networks on vertices, where the weights of the vertices follow a power-law distribution with exponent . Such networks, often referred to as scale-free networks, exhibit critical behavior when the percolation probability tends to zero at an appropriate rate, as . We identify the critical window for a host of scale-free random graph models such as the Norros-Reittu model, Chung-Lu model and generalized random graphs. Surprisingly, there exists a finite time inside the critical window, after which, we see a sudden emergence of a tiny giant component. This is a novel behavior which is in contrast with the critical behavior in other known universality classes with and . Precisely, for edge-retention probabilities , there is an…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Theoretical and Computational Physics
