Recovery patterns and physics of the network
Open Access
- 19 January 2021
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 16 (1), e0245396
- https://doi.org/10.1371/journal.pone.0245396
Abstract
In a progressively interconnected world, the loss of system resilience has consequences for human health, the economy, and the environment. Research has exploited the science of networks to explain the resilience of complex systems against random attacks, malicious attacks, and the localized attacks induced by natural disasters or mass attacks. Little is known about the elucidation of system recovery by the network topology. This study adds to the knowledge of network resilience by examining the nexus of recoverability and network topology. We establish a new paradigm for identifying the recovery behavior of networks and introduce the recoverability measure. Results indicate that the recovery response behavior and the recoverability measure are the function of both size and topology of networks. In small sized networks, the return to recovery exhibits homogeneous recovery behavior over topology, while the return shape is dispersed with an increase in the size of network. A network becomes more recoverable as connectivity measures of the network increase, and less recoverable as accessibility measures of network increase. Overall, the results not only offer guidance on designing recoverable networks, but also depict the recovery nature of networks deliberately following a disruption. Our recovery behavior and recoverability measure has been tested on 16 distinct network topologies. The relevant recovery behavior can be generalized based on our definition for any network topology recovering deliberately.This publication has 48 references indexed in Scilit:
- Network physiology reveals relations between network topology and physiological functionNature Communications, 2012
- Mitigation of malicious attacks on networksProceedings of the National Academy of Sciences of the United States of America, 2011
- Catastrophic cascade of failures in interdependent networksNature, 2010
- Hierarchical structure and the prediction of missing links in networksNature, 2008
- Uncovering the overlapping community structure of complex networks in nature and societyNature, 2005
- Self-organized patchiness in asthma as a prelude to catastrophic shiftsNature, 2005
- Vulnerability and protection of infrastructure networksPhysical Review E, 2005
- Genomic analysis of regulatory network dynamics reveals large topological changesNature, 2004
- Error and attack tolerance of complex networksNature, 2000
- Thresholds and breakpoints in ecosystems with a multiplicity of stable statesNature, 1977