ORCID Profile
0000-0002-8978-1725
Current Organisation
York University
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Publisher: IOP Publishing
Date: 19-05-2011
Publisher: Springer Science and Business Media LLC
Date: 15-04-2020
Publisher: IOP Publishing
Date: 13-05-2019
Publisher: Elsevier BV
Date: 03-2011
Publisher: Hindawi Limited
Date: 20-11-2019
DOI: 10.1155/2019/2680972
Abstract: Complex networks in reality may suffer from target attacks which can trigger the breakdown of the entire network. It is therefore pivotal to evaluate the extent to which a network could withstand perturbations. The research on network robustness has proven as a potent instrument towards that purpose. The last two decades have witnessed the enthusiasm on the studies of network robustness. However, existing studies on network robustness mainly focus on multilayer networks while little attention is paid to multipartite networks which are an indispensable part of complex networks. In this study, we investigate the robustness of multipartite networks under intentional node attacks. We develop two network models based on the largest connected component theory to depict the cascading failures on multipartite networks under target attacks. We then investigate the robustness of computer-generated multipartite networks with respect to eight node centrality metrics. We discover that the robustness of multipartite networks could display either discontinuous or continuous phase transitions. Interestingly, we discover that larger number of partite sets of a multipartite network could increase its robustness which is opposite to the phenomenon observed on multilayer networks. Our findings shed new lights on the robust structure design of complex systems. We finally present useful discussions on the applications of existing percolation theories that are well studied for network robustness analysis to multipartite networks. We show that existing percolation theories are not amenable to multipartite networks. Percolation on multipartite networks still deserves in-depth efforts.
Publisher: Springer Science and Business Media LLC
Date: 07-11-2016
Publisher: Elsevier BV
Date: 03-2012
Publisher: American Physical Society (APS)
Date: 03-09-2014
Publisher: IOP Publishing
Date: 07-09-2015
No related grants have been discovered for Balint Radics.