Centrality of Nodes with Karci Entropy

Basit Öğe Kaydı
dc.authoridKarci, Ali/0000-0002-8489-8617
dc.authoridTuğal, İhsan/0000-0003-1898-9438
dc.authorwosidTuğal, İhsan/AAW-2375-2021
dc.authorwosidKARCI, Ali/A-9604-2019
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.authorwosidTuğal, İhsan/JUF-6069-2023
dc.contributor.authorTugal, Ihsan
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:45:49Z
dc.date.available2024-08-04T20:45:49Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractA measure of centrality can be used to identify important assets that affect a system. In this study, the most used centrality measures degree, closeness, betweenness, eigenvector centrality and entropy centrality were used to identify the most effective nodes. The central/influential nodes can be detected more accurately by the Karci entropy which has just begun to be used new in social networks. Karci entropy contain Shannon when a equal 1. The more accurate results were obtained when the a coefficient in Karci entropy was correctly selected. The effect of node degree and edge weights to the network were measured together. The applicability of the entropy-based method for the detection of the most effective nodes in weighted networks has been demonstrated. The success of proposed method has been offered by comparison with traditional methods.en_US
dc.description.sponsorshipInonu Univ, Comp Sci Dept,IEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.scopus2-s2.0-85062536055en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/98696
dc.identifier.wosWOS:000458717400216en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 International Conference on Artificial Intelligence and Data Processing (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComplex networksen_US
dc.subjectsocial networken_US
dc.subjectcentralityen_US
dc.subjectentropy centralityen_US
dc.titleCentrality of Nodes with Karci Entropyen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu