Rewiring or adding links: A real-world case study of network vulnerability

Marco Tomassini

Physica A: Statistical Mechanics and its Applications, 2023, vol. 630, issue C

Abstract: We show that the robustness of complex networks issued from the real world can be significantly improved against deliberate attacks to high degree edges by using network modification techniques. Two methods are compared respectively based on edge rewiring and on adding edges according to an heuristic based on network bridges. We show by numerical simulation that both techniques are generally useful to decrease vulnerability of the network examples used which are of the infrastructure type. Edge rewiring in general leads to less vulnerable networks but in practice it is more difficult to carry out on real-world networks because of engineering and cost reasons. Edge addition, on the other hand, seems easier to apply for most infrastructure networks, is effective against random edge failures, and is also useful in protecting the networks from attacks targeting bridge edges.

Keywords: Network science; Network robustness; Network failures; Network attacks; Real-world networks (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437123007963
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:630:y:2023:i:c:s0378437123007963

DOI: 10.1016/j.physa.2023.129241

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().