Print Email Facebook Twitter Robustness Envelopes of Networks Title Robustness Envelopes of Networks Author Trajanovski, S. Martín-Hernández, J. Winterbach, W. Van Mieghem, P. Faculty Electrical Engineering, Mathematics and Computer Science Department Intelligent Systems Date 2013-03-26 Abstract We study the robustness of networks under node removal, considering random node failure, as well as targeted node attacks based on network centrality measures. Whilst both of these have been studied in the literature, existing approaches tend to study random failure in terms of average-case behavior, giving no idea of how badly network performance can degrade purely by chance. Instead of considering average network performance under random failure, we compute approximate network performance probability density functions as functions of the fraction of nodes removed. We find that targeted attacks based on centrality measures give a good indication of the worst-case behavior of a network. We show that many centrality measures produce similar targeted attacks and that a combination of degree centrality and eigenvector centrality may be enough to evaluate worst-case behavior of networks. Finally, we study the robustness envelope and targeted attack responses of networks that are rewired to have high- and low-degree assortativities, discovering that moderate assortativity increases confer more robustness against targeted attacks whilst moderate decreases confer more robustness against random uniform attacks. Subject network vulnerabilitynetwork robustnessrobustness frameworknetwork re-design To reference this document use: http://resolver.tudelft.nl/uuid:800a9789-e326-4698-a237-01b4ea50f243 DOI https://doi.org/10.1093/comnet/cnt004 Publisher Oxford University Press ISSN 2051-1310 Source https://doi.org/10.1093/comnet/cnt004 Source Journal of Complex Networks, 1 (1), 2013 Part of collection Institutional Repository Document type journal article Rights © 2014 The AuthorsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Files PDF RobustnessEnvelopesNetworks_JCN.pdf 864.29 KB Close viewer /islandora/object/uuid:800a9789-e326-4698-a237-01b4ea50f243/datastream/OBJ/view