Title
Navigability Of Interconnected Networks Under Random Failures
Abstract
Assessing the navigability of interconnected networks (transporting information, people, or goods) under eventual random failures is of utmost importance to design and protect critical infrastructures. Random walks are a good proxy to determine this navigability, specifically the coverage time of random walks, which is a measure of the dynamical functionality of the network. Here, we introduce the theoretical tools required to describe random walks in interconnected networks accounting for structure and dynamics inherent to real systems. We develop an analytical approach for the covering time of random walks in interconnected networks and compare it with extensive Monte Carlo simulations. Generally speaking, interconnected networks are more resilient to random failures than their individual layers per se, and we are able to quantify this effect. As an application-which we illustrate by considering the public transport of London-we show how the efficiency in exploring the multiplex critically depends on layers' topology, interconnection strengths, and walk strategy. Our findings are corroborated by data-driven simulations, where the empirical distribution of check-ins and checks-out is considered and passengers travel along fastest paths in a network affected by real disruptions. These findings are fundamental for further development of searching and navigability strategies in real interconnected systems.
Year
DOI
Venue
2013
10.1073/pnas.1318469111
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Field
DocType
Volume
Monte Carlo method,Empirical distribution function,Random walk,Computer science,Computer communication networks,Navigability,Public transport,Interconnection,Real systems,Distributed computing
Journal
111
Issue
ISSN
Citations 
23
0027-8424
29
PageRank 
References 
Authors
1.53
3
4
Name
Order
Citations
PageRank
Manlio De Domenico119111.37
Albert Solé-Ribalta235019.66
Sergio Gómez337724.96
A Arenas462338.38