Inhomogeneous Long-Range Percolation for Real-Life Network Modeling

The study of random graphs has become very popular for real-life network modeling, such as social networks or financial networks. Inhomogeneous long-range percolation (or scale-free percolation) on the lattice Zd, d ≥ 1, is a particular attractive example of a random graph model because it fulfills...

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Main Authors: Philippe Deprez, Rajat Subhra Hazra, Mario V. Wüthrich
Format: Article
Language:English
Published: MDPI AG 2015-01-01
Series:Risks
Subjects:
Online Access:http://www.mdpi.com/2227-9091/3/1/1
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author Philippe Deprez
Rajat Subhra Hazra
Mario V. Wüthrich
author_facet Philippe Deprez
Rajat Subhra Hazra
Mario V. Wüthrich
author_sort Philippe Deprez
collection DOAJ
description The study of random graphs has become very popular for real-life network modeling, such as social networks or financial networks. Inhomogeneous long-range percolation (or scale-free percolation) on the lattice Zd, d ≥ 1, is a particular attractive example of a random graph model because it fulfills several stylized facts of real-life networks. For this model, various geometric properties, such as the percolation behavior, the degree distribution and graph distances, have been analyzed. In the present paper, we complement the picture of graph distances and we prove continuity of the percolation probability in the phase transition point. We also provide an illustration of the model connected to financial networks.
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spelling doaj.art-8e3094c1a0c84e41a3099ca645475ac02022-12-22T03:54:49ZengMDPI AGRisks2227-90912015-01-013112310.3390/risks3010001risks3010001Inhomogeneous Long-Range Percolation for Real-Life Network ModelingPhilippe Deprez0Rajat Subhra Hazra1Mario V. Wüthrich2RiskLab, Department of Mathematics, ETH Zurich, 8092 Zurich, SwitzerlandIndian Statistical Institute, Theoretical Statistics and Mathematics Unit, Kolkata 700 108, IndiaRiskLab, Department of Mathematics, ETH Zurich, 8092 Zurich, SwitzerlandThe study of random graphs has become very popular for real-life network modeling, such as social networks or financial networks. Inhomogeneous long-range percolation (or scale-free percolation) on the lattice Zd, d ≥ 1, is a particular attractive example of a random graph model because it fulfills several stylized facts of real-life networks. For this model, various geometric properties, such as the percolation behavior, the degree distribution and graph distances, have been analyzed. In the present paper, we complement the picture of graph distances and we prove continuity of the percolation probability in the phase transition point. We also provide an illustration of the model connected to financial networks.http://www.mdpi.com/2227-9091/3/1/1network modelingstylized facts of real-life networkssmall-world effectlong-range percolationscale-free percolationgraph distancephase transitioncontinuity of percolation probabilityinhomogeneous long-range percolationinfinite connected component
spellingShingle Philippe Deprez
Rajat Subhra Hazra
Mario V. Wüthrich
Inhomogeneous Long-Range Percolation for Real-Life Network Modeling
Risks
network modeling
stylized facts of real-life networks
small-world effect
long-range percolation
scale-free percolation
graph distance
phase transition
continuity of percolation probability
inhomogeneous long-range percolation
infinite connected component
title Inhomogeneous Long-Range Percolation for Real-Life Network Modeling
title_full Inhomogeneous Long-Range Percolation for Real-Life Network Modeling
title_fullStr Inhomogeneous Long-Range Percolation for Real-Life Network Modeling
title_full_unstemmed Inhomogeneous Long-Range Percolation for Real-Life Network Modeling
title_short Inhomogeneous Long-Range Percolation for Real-Life Network Modeling
title_sort inhomogeneous long range percolation for real life network modeling
topic network modeling
stylized facts of real-life networks
small-world effect
long-range percolation
scale-free percolation
graph distance
phase transition
continuity of percolation probability
inhomogeneous long-range percolation
infinite connected component
url http://www.mdpi.com/2227-9091/3/1/1
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