Title
Double Percolation Phase Transition in Clustered Complex Networks
Abstract
The internal organization of complex networks often has striking consequences on either their response to external perturbations or on their dynamical properties. In addition to small-world and scale-free properties, clustering is the most common topological characteristic observed in many real networked systems. In this paper, we report an extensive numerical study on the effects of clustering on the structural properties of complex networks. Strong clustering in heterogeneous networks induces the emergence of a core-periphery organization that has a critical effect on the percolation properties of the networks. We observe a novel double phase transition with an intermediate phase in which only the core of the network is percolated and a final phase in which the periphery percolates regardless of the core. This result implies breaking of the same symmetry at two different values of the control parameter, in stark contrast to the modern theory of continuous phase transitions. Inspired by this core-periphery organization, we introduce a simple model that allows us to analytically prove that such an anomalous phase transition is, in fact, possible.
Year
DOI
Venue
2014
10.1103/PhysRevX.4.041020
PHYSICAL REVIEW X
DocType
Volume
Issue
Journal
4
4
ISSN
Citations 
PageRank 
2160-3308
3
0.40
References 
Authors
4
2
Name
Order
Citations
PageRank
Pol Colomer-de-Simon1201.87
Marián Boguñá254335.14