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 | |
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| 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 | |
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| 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 | |
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| gdc.oaire.sciencefields | 0102 computer and information sciences | |
| gdc.oaire.sciencefields | 01 natural sciences | |
| gdc.openalex.collaboration | National | |
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| 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 | |
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