2024 Impact factor 2.9

EPJ B Highlight - Inter-dependent networks stress test

Impact of network topologies. © Fu et al.

A new study relies on a complex systems modelling approach, known as graph theory, to analyze inter-dependent physical or social networks and improve their reliability in the event of failure

Energy production systems are good examples of complex systems. Their infrastructure equipment requires ancillary sub-systems structured like a network - including water for cooling, transport to supply fuel, and ICT systems for control and management. Every step in the network chain is interconnected with a wider network and they are all mutually dependent. A team of UK-based scientists has studied various aspects of inter-network dependencies, not previously explored. The findings have been published in EPJ B by Gaihua Fu from Newcastle University, UK, and colleagues. These findings could have implications for maximising the reliability of such networks when facing natural and man-made hazards.

Previous research has focused on studying single, isolated systems, not interconnected ones. However, understanding inter-connectedness is key, since failure of a component in one network can cause problems across the entire system, which can result in a cascading failure across multiple sectors, as in the energy infrastructure example quoted above.

In this study, interdependent systems are modelled as a network of networks. The model characterizes interdependencies in terms of direction, redundancy, and extent of inter-network connectivity.

Fu and colleagues found that the severity of cascading failure increases significantly when inter-network connections are one-directional. They also found that the degree of redundancy - which is linked to the number of connections - in inter-network connections can have a significant effect on the robustness of systems, depending on the direction of inter-network connections.

The authors observed that the interdependencies between many real-world systems have characteristics that are consistent with the less reliable systems they tested, and therefore they are likely to operate near their critical thresholds. Finally, ways of cost-effectively reducing the vulnerability of inter-dependent networks are suggested.

G. Fu, R. Dawson, M. Khoury and S. Bullock (2014), Interdependent networks: Vulnerability analysis and strategies to limit cascading failure, European Physical Journal B 87: 148, DOI: 10.1140/epjb/e2014-40876-y

Editors-in-Chief
B. Fraboni and G. García López
It was a beautiful experience publishing with EPJP. Finally, thank you very much for your kind consideration and also many thanks to the EPJP peer review team.

Muhammad Riaz, University of the Punjab, Lahore, Pakistan

ISSN: 2190-5444 (Electronic Edition)

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