Generating clustered scale-free networks using Poisson based localization of edges
dc.contributor.author | Turker, Ilker | |
dc.date.accessioned | 2024-09-29T16:00:30Z | |
dc.date.available | 2024-09-29T16:00:30Z | |
dc.date.issued | 2018 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | We introduce a variety of network models using a Poisson-based edge localization strategy, which result in clustered scale-free topologies. We first verify the success of our localization strategy by realizing a variant of the well-known Watts-Strogatz model with an inverse approach, implying a small-world regime of rewiring from a random network through a regular one. We then apply the rewiring strategy to a pure Barabasi-Albert model and successfully achieve a small-world regime, with a limited capacity of scale-free property. To imitate the high clustering property of scale-free networks with higher accuracy, we adapted the Poisson-based wiring strategy to a growing network with the ingredients of both preferential attachment and local connectivity. To achieve the collocation of these properties, we used a routine of flattening the edges array, sorting it, and applying a mixing procedure to assemble both global connections with preferential attachment and local clusters. As a result, we achieved clustered scale-free networks with a computational fashion, diverging from the recent studies by following a simple but efficient approach. (C) 2018 Elsevier B.V. All rights reserved. | en_US |
dc.identifier.doi | 10.1016/j.physa.2018.01.009 | |
dc.identifier.endpage | 85 | en_US |
dc.identifier.issn | 0378-4371 | |
dc.identifier.issn | 1873-2119 | |
dc.identifier.scopus | 2-s2.0-85042866327 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 72 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.physa.2018.01.009 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/5195 | |
dc.identifier.volume | 497 | en_US |
dc.identifier.wos | WOS:000428826700007 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Physica A-Statistical Mechanics and Its Applications | 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 | Network modeling | en_US |
dc.subject | Clustering | en_US |
dc.subject | Scale-free networks | en_US |
dc.subject | Small-world networks | en_US |
dc.title | Generating clustered scale-free networks using Poisson based localization of edges | en_US |
dc.type | Article | en_US |