Extremum Sum-Connectivity Index of Trees and Unicyclic Graphs
dc.authorscopusid | 57219777406 | |
dc.authorscopusid | 57463780900 | |
dc.authorscopusid | 35185892900 | |
dc.authorwosid | Cancan, Murat/Aab-4391-2020 | |
dc.contributor.author | Shooshtari, Hajar | |
dc.contributor.author | Motamedi, Ruhollah | |
dc.contributor.author | Cancan, Murat | |
dc.date.accessioned | 2025-05-10T17:37:24Z | |
dc.date.available | 2025-05-10T17:37:24Z | |
dc.date.issued | 2022 | |
dc.department | T.C. Van Yüzüncü Yıl Üniversitesi | en_US |
dc.department-temp | [Shooshtari, Hajar; Motamedi, Ruhollah] Azarbaijan Shahid Madani Univ, Dept Math, Tabriz, Iran; [Cancan, Murat] Van Yuzuncu Yil Univ, Fac Educ, Van, Turkey | en_US |
dc.description.abstract | The sum-connectivity index of a graph G is defined as the sum of weights 1/root d(w) +d(z ) over all edges wz of G, where d(w) and d(z) are the degrees of the vertices w and z in G, respectively. In this paper, we provide a simpler method to the extremal trees and unicyclic graph of the sum-connectivity index. | en_US |
dc.description.woscitationindex | Emerging Sources Citation Index | |
dc.identifier.doi | 10.1142/S1793557122501972 | |
dc.identifier.issn | 1793-5571 | |
dc.identifier.issn | 1793-7183 | |
dc.identifier.issue | 11 | en_US |
dc.identifier.scopus | 2-s2.0-85141273126 | |
dc.identifier.scopusquality | Q3 | |
dc.identifier.uri | https://doi.org/10.1142/S1793557122501972 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14720/14375 | |
dc.identifier.volume | 15 | en_US |
dc.identifier.wos | WOS:000849393000001 | |
dc.identifier.wosquality | N/A | |
dc.language.iso | en | en_US |
dc.publisher | World Scientific Publ Co Pte Ltd | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Sum-Connectivity Index | en_US |
dc.subject | Tree | en_US |
dc.subject | Unicyclic Graphs | en_US |
dc.title | Extremum Sum-Connectivity Index of Trees and Unicyclic Graphs | en_US |
dc.type | Article | en_US |