Residual Closeness of Wheels and Related Networks
| dc.contributor.author | Aytac, Aysun | |
| dc.contributor.author | Odabas, Zeynep Nihan | |
| dc.date.accessioned | 2023-06-16T14:31:30Z | |
| dc.date.available | 2023-06-16T14:31:30Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | The vulnerability of a network measures the resistance of the network to disruption of operation after the failure of certain stations or communication links. If we think of a graph as modeling a network, several vulnerability measures have been used to describe the stability of networks, including connectivity, toughness, scattering number, binding number and integrity. We consider a new characteristic, residual closeness which is more sensitive than the well-known vulnerability measures. Residual closeness measures the network resistance evaluating closeness after removal of vertices or links. In this paper, closeness, vertex residual closeness (VRC) and normalized vertex residual closeness (NVRC) of wheels and some related networks namely gear and friendship graph are calculated, and exact values are obtained. | en_US |
| dc.identifier.doi | 10.1142/S0129054111008660 | |
| dc.identifier.issn | 0129-0541 | |
| dc.identifier.issn | 1793-6373 | |
| dc.identifier.scopus | 2-s2.0-80051696934 | |
| dc.identifier.uri | https://doi.org/10.1142/S0129054111008660 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/2124 | |
| dc.language.iso | en | en_US |
| dc.publisher | World Scientific Publ Co Pte Ltd | en_US |
| dc.relation.ispartof | Internatıonal Journal of Foundatıons of Computer Scıence | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Graph vulnerability | en_US |
| dc.subject | connectivity | en_US |
| dc.subject | closeness | en_US |
| dc.subject | gear graph | en_US |
| dc.subject | friendship graph | en_US |
| dc.title | Residual Closeness of Wheels and Related Networks | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.scopusid | 56273556400 | |
| gdc.author.scopusid | 36118094300 | |
| 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 | [Aytac, Aysun] Ege Univ, Dept Math, TR-35100 Izmir, Turkey; [Odabas, Zeynep Nihan] Izmir Univ Econ, Fac Engn & Comp Sci, TR-35330 Izmir, Turkey | en_US |
| gdc.description.endpage | 1240 | en_US |
| gdc.description.issue | 5 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q3 | |
| gdc.description.startpage | 1229 | en_US |
| gdc.description.volume | 22 | en_US |
| gdc.description.wosquality | Q4 | |
| gdc.identifier.openalex | W2100010234 | |
| gdc.identifier.wos | WOS:000293753200014 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
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| gdc.oaire.impulse | 1.0 | |
| gdc.oaire.influence | 4.8648086E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.keywords | Connectivity | |
| gdc.oaire.keywords | Network design and communication in computer systems | |
| gdc.oaire.keywords | graph vulnerability | |
| gdc.oaire.keywords | Graph theory (including graph drawing) in computer science | |
| gdc.oaire.keywords | connectivity | |
| gdc.oaire.keywords | Graph vulnerability | |
| gdc.oaire.keywords | gear graph | |
| gdc.oaire.keywords | closeness | |
| gdc.oaire.keywords | friendship graph | |
| gdc.oaire.popularity | 1.3773268E-8 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
| gdc.oaire.sciencefields | 0102 computer and information sciences | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.oaire.sciencefields | 01 natural sciences | |
| gdc.openalex.collaboration | National | |
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| gdc.openalex.normalizedpercentile | 0.67 | |
| gdc.opencitations.count | 24 | |
| gdc.plumx.crossrefcites | 6 | |
| gdc.plumx.mendeley | 9 | |
| gdc.plumx.scopuscites | 36 | |
| gdc.scopus.citedcount | 36 | |
| gdc.wos.citedcount | 36 | |
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