Publication: Network robustness and topological characteristics in scale-free networks
Type:
Article
Date
2013-04-16
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
In this paper, we explore the relationship between the topological characteristics of a complex network and its robustness to sustained targeted attacks. Using synthesized scale-free networks, we look at a number of network measures, including rich club profiles, scale-free exponent, modularity, assortativity, average path length and clustering coefficient of a network, and how each of these influence the robustness of a scale-free network under targeted attacks. We consider sustained targeted attacks by order of node degree. We show that assortativity and average path length have a positive correlation with network robustness, whereas clustering coefficient has a negative correlation. We did not find any correlation between the modularity and robustness, scale-free exponent and robustness, or rich-club profiles and robustness. Our results highlight the importance of topological characteristics in influencing network robustness, and illustrate design strategies network designers can use to increase the robustness of scale-free networks under sustained targeted attacks.
Description
Keywords
Network robustness, topological characteristics, scale-free networks
Citation
D. Kasthurirathna, M. Piraveenan and G. Thedchanamoorthy, "Network robustness and topological characteristics in scale-free networks," 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2013, pp. 122-129, doi: 10.1109/EAIS.2013.6604114.
