RESPONSE OF LYAPUNOV EXPONENTS TO DIFFUSION STATE OF BIOLOGICAL NETWORKS

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dc.authorid0000-0003-3144-8724en_US
dc.contributor.authorAltuntaş, Volkan
dc.contributor.authorGok, Murat
dc.contributor.authorKocal, Osman Hilmi
dc.date.accessioned2021-03-20T20:09:14Z
dc.date.available2021-03-20T20:09:14Z
dc.date.issued2020
dc.departmentBTÜ, Rektörlüğe Bağlı Birimler, Bilgi İşlem Daire Başkanlığıen_US
dc.description.abstractThe topologies of protein-protein interaction networks are uncertain and noisy. The network topology determines the reliability of computational knowledge acquired from noisy networks and can impose the deterministic and non-deterministic character of the resulting data. In this study, we analyze the effect of the network topology on Lyapunov exponents and its relationship with network stability. We define the methodology to convert the network data into signal data and obtain the Lyapunov exponents for a variety of networks. We then compare the Lyapunov exponent response and the stability results. Our technique can be applied to all types of network topologies as demonstrated with our experiments, conducted on both synthetic and real networks from public databases. For the first time, this article presents findings where Lyapunov exponents are evaluated under topological mutations and used for network analysis. Experimental results show that Lyapunov exponents have a strong correlation with network stability and both are correlatively affected by the network model. Hence we develop a novel coefficient, termed LEC, to measure the robustness of biological networks. LEC can be applied to real or synthetic biological networks rapidly. Results are a striking indication that the Lyapunov exponent is a potential candidate measure for network analysis.en_US
dc.identifier.doi10.34768/amcs-2020-0051en_US
dc.identifier.endpage702en_US
dc.identifier.issn1641-876X
dc.identifier.issn2083-8492
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage689en_US
dc.identifier.urihttp://doi.org/10.34768/amcs-2020-0051
dc.identifier.urihttps://hdl.handle.net/20.500.12885/323
dc.identifier.volume30en_US
dc.identifier.wosWOS:000610845000007en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAltuntaş, Volkan
dc.language.isoenen_US
dc.publisherUniv Zielona Gora Pressen_US
dc.relation.ispartofInternational Journal Of Applied Mathematics And Computer Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectsynthetic networksen_US
dc.subjectbiological networksen_US
dc.subjectdiffusionen_US
dc.subjectstabilityen_US
dc.subjectLyapunov exponentsen_US
dc.titleRESPONSE OF LYAPUNOV EXPONENTS TO DIFFUSION STATE OF BIOLOGICAL NETWORKSen_US
dc.typeArticleen_US

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