A parallel closed centrality algorithm for complex networks
dc.authorid | Erciyes, Kayhan/0000-0001-9111-7156 | en_US |
dc.contributor.author | Ereiyes, Kayhan | |
dc.date.accessioned | 2024-07-12T21:40:37Z | |
dc.date.available | 2024-07-12T21:40:37Z | |
dc.date.issued | 2021 | en_US |
dc.department | [Belirlenecek] | en_US |
dc.description | 2nd International Informatics and Software Engineering Conference (IISEC) - Artificial Intelligence for Digital Transformation -- DEC 16-17, 2021 -- Ankara, TURKEY | en_US |
dc.description.abstract | Complex networks are large and analysis of these networks require significantly different methods than small networks. Parallel processing is needed to provide analysis of these networks in a timely manner. Graph centrality measures provide convenient methods to assess the structure of these networks. We review main centrality algorithms, describe implementation of closed centrality in Python and propose a simple parallel algorithm of closed centrality and show its implementation in Python with obtained results. | en_US |
dc.description.sponsorship | IEEE Turkey Sect | en_US |
dc.identifier.doi | 10.1109/IISEC54230.2021.9672334 | |
dc.identifier.isbn | 978-1-6654-0759-5 | |
dc.identifier.scopus | 2-s2.0-85125360048 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | https://doi.org/10.1109/IISEC54230.2021.9672334 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12415/7382 | |
dc.identifier.wos | WOS:000841548300001 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2nd International Informatics And Software Engineering Conference (Iisec) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.snmz | KY08723 | |
dc.subject | Complex Network | en_US |
dc.subject | Closeness Centrality | en_US |
dc.subject | Betweenness Centrality | en_US |
dc.subject | Parallel Algorithm | en_US |
dc.title | A parallel closed centrality algorithm for complex networks | en_US |
dc.type | Conference Object | |
dspace.entity.type | Publication |