Link deletion in directed complex networks

G. Kashyap and G. Ambika

Physica A: Statistical Mechanics and its Applications, 2019, vol. 514, issue C, 631-643

Abstract: We present a systematic and detailed study of the robustness of directed networks under random and targeted removal of links. We work with a set of network models of random and scale free type, generated with specific features of clustering and assortativity. Various strategies like random deletion of links, or deletions based on betweenness centrality and degrees of source and target nodes, are used to breakdown the networks. The robustness of the networks to the sustained loss of links is studied in terms of the sizes of the connected components and the inverse path lengths. The effects of clustering and 2-node degree correlations, on the robustness to attack, are also explored. We provide specific illustrations of our study on three real-world networks constructed from protein–protein interactions and from transport data.

Keywords: Directed networks; Link deletion; Strongly connected component; Transmission efficiency; Protein interaction network; Transport network (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:514:y:2019:i:c:p:631-643

DOI: 10.1016/j.physa.2018.09.156

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