Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144369
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dc.contributor.authorCai, Qingen_US
dc.contributor.authorPratama, Mahardhikaen_US
dc.contributor.authorAlam, Sameeren_US
dc.contributor.authorMa, Chunyaoen_US
dc.contributor.authorLiu, Jimingen_US
dc.date.accessioned2020-11-02T04:49:35Z-
dc.date.available2020-11-02T04:49:35Z-
dc.date.issued2019-
dc.identifier.citationCai, Q., Pratama, M., Alam, S., Ma, C., & Liu, J. (2020). Breakup of directed multipartite networks. IEEE Transactins on Network Science and Engineering, 7(3), 947-960. doi:10.1109/TNSE.2019.2894142en_US
dc.identifier.issn2327-4697en_US
dc.identifier.urihttps://hdl.handle.net/10356/144369-
dc.description.abstractA complex network in reality often consists of profuse components, which might suffer from unpredictable perturbations. Because the components of a network could be interdependent, therefore the failures of a few components may trigger catastrophes to the entire network. It is thus pivotal to exploit the robustness of complex networks. Existing studies on network robustness mainly deal with interdependent or multilayer networks; little work is done to investigate the robustness of multipartite networks, which are an indispensable part of complex networks. Here, we plumb the robustness of directed multipartite networks. To be specific, we exploit the robustness of bi-directed and unidirectional multipartite networks in face of random node failures. We, respectively, establish cascading and non-cascading models based on the largest connected component concept for depicting the dynamical processes on bi-directed and unidirectional multipartite networks subject to perturbations. Based on our developed models, we, respectively, derive the corresponding percolation theories for mathematically computing the robustness of directed multipartite networks subject to random node failures. We unravel the first-order and second-order phase transition phenomena on the robustness of directed multipartite networks. The correctness of our developed theories has been verified through experiments on computer-generated as well as real-world multipartite networks.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactins on Network Science and Engineeringen_US
dc.rights© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work is available at: https://doi.org/10.1109/TNSE.2019.2894142en_US
dc.subjectEngineering::Aeronautical engineeringen_US
dc.titleBreakup of directed multipartite networksen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.researchAir Traffic Management Research Instituteen_US
dc.identifier.doi10.1109/TNSE.2019.2894142-
dc.description.versionAccepted versionen_US
dc.identifier.issue3en_US
dc.identifier.volume7en_US
dc.identifier.spage947en_US
dc.identifier.epage960en_US
dc.subject.keywordsAir Traffic Managementen_US
dc.subject.keywordsComplex Networksen_US
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