Residual Closeness in Cycles and Related Networks

dc.contributor.author Berberler, Zeynep Nihan
dc.contributor.author Aytac, Aysun
dc.date.accessioned 2023-06-16T14:40:48Z
dc.date.available 2023-06-16T14:40:48Z
dc.date.issued 2013
dc.description.abstract Networks are known to be prone to node or link failures. A central issue in the analysis of networks is the assessment of their stability and reliability. The main aim is to understand, predict, and possibly even control the behavior of a networked system under attacks or disfunctions of any type. A central concept that is used to assess stability and robustness of the performance of a network under failures is that of vulnerability. A network is usually represented by an undirected simple graph where vertices represent processors and edges represent links between processors. Different approaches to properly define a measure for graph vulnerability has been proposed so far. In this paper, we study the vulnerability of cycles and related graphs to the failure of individual vertices, using a measure called residual closeness which provides a more sensitive characterization of the graph than some other well-known vulnerability measures. en_US
dc.identifier.doi 10.3233/FI-2013-835
dc.identifier.issn 0169-2968
dc.identifier.issn 1875-8681
dc.identifier.scopus 2-s2.0-84879534946
dc.identifier.uri https://doi.org/10.3233/FI-2013-835
dc.identifier.uri https://hdl.handle.net/20.500.14365/2484
dc.language.iso en en_US
dc.publisher Ios Press en_US
dc.relation.ispartof Fundamenta Informatıcae en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Graph vulnerability en_US
dc.subject Closeness en_US
dc.subject Network design and communication en_US
dc.subject Stability en_US
dc.subject Communication network en_US
dc.subject Cycles en_US
dc.subject Graphs en_US
dc.subject Polynomials en_US
dc.subject Diameter en_US
dc.title Residual Closeness in Cycles and Related Networks en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 36118094300
gdc.author.scopusid 56273556400
gdc.author.wosid BERBERLER, Zeynep Nihan/Q-2070-2019
gdc.bip.impulseclass C5
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp [Odabas, Zeynep Nihan] Izmir Univ Econ, Fac Engn & Comp Sci, TR-35330 Izmir, Turkey; [Aytac, Aysun] Ege Univ, Fac Sci, Dept Math, TR-35100 Izmir, Turkey en_US
gdc.description.endpage 307 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 297 en_US
gdc.description.volume 124 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W1635237076
gdc.identifier.wos WOS:000320501400003
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 1.0
gdc.oaire.influence 4.2228523E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Network design and communication in computer systems
gdc.oaire.keywords graph vulnerability
gdc.oaire.keywords cycles
gdc.oaire.keywords Closeness
gdc.oaire.keywords stability
gdc.oaire.keywords Reliability, testing and fault tolerance of networks and computer systems
gdc.oaire.keywords Communication network
gdc.oaire.keywords Cycles
gdc.oaire.keywords Graph theory (including graph drawing) in computer science
gdc.oaire.keywords communication network
gdc.oaire.keywords Network design and communication
gdc.oaire.keywords Graph vulnerability
gdc.oaire.keywords closeness
gdc.oaire.keywords Stability
gdc.oaire.keywords network design and communication
gdc.oaire.popularity 1.0075654E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0102 computer and information sciences
gdc.oaire.sciencefields 01 natural sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 1.3941
gdc.openalex.normalizedpercentile 0.78
gdc.opencitations.count 19
gdc.plumx.crossrefcites 19
gdc.plumx.mendeley 2
gdc.plumx.scopuscites 32
gdc.scopus.citedcount 32
gdc.wos.citedcount 36
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