A practical succinct dynamic graph representation

UDC.coleccionInvestigaciónes_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.grupoInvLaboratorio de Bases de Datos (LBD)es_ES
UDC.issue104862es_ES
UDC.journalTitleInformation and Computationes_ES
UDC.volume285es_ES
dc.contributor.authorCoimbra, Miguel E.
dc.contributor.authorHrotkó, Joana
dc.contributor.authorFrancisco, Alexandre P.
dc.contributor.authorRusso, Luís M.S.
dc.contributor.authorBernardo, Guillermo de
dc.contributor.authorLadra, Susana
dc.contributor.authorNavarro, Gonzalo
dc.date.accessioned2024-11-18T10:20:31Z
dc.date.available2024-11-18T10:20:31Z
dc.date.issued2022-05
dc.description©2022 Elsevier B.V. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/byncnd/ 4.0/. This version of the article has been accepted for publication in Future Generation Computer Systems. The Version of Record is available online at https:// doi.org/10.1016/j.ic.2021.104862es_ES
dc.description.abstract[Abstract]: We address the problem of representing dynamic graphs using k2-trees. The k2-tree data structure is one of the succinct data structures proposed for representing static graphs, and binary relations in general. It relies on compact representations of bit vectors. Hence, by relying on compact representations of dynamic bit vectors, we can also represent dynamic graphs. However, this approach suffers of a well known bottleneck in compressed dynamic indexing. In this paper we present a k2-tree based implementation which follows instead the ideas by Munro et al. (PODS 2015) to circumvent this bottleneck. We present two dynamic graph k2-tree implementations, one as a standalone implementation and another as a C++ library. The library includes efficient edge and neighbourhood iterators, as well as some illustrative algorithms. Our experimental results show that these implementations are competitive in practice.es_ES
dc.description.sponsorshipThis work was supported by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie [grant agreement No. 690941 ], namely while the first, third and fourth authors were visiting either the University of Chile or Enxenio SL. This work was partially funded by Fundação para a Ciência e a Tecnologia (FCT) [grants PTDC/CCI-BIO/29676/2017, PTDC/CPO-CPO/28495/2017, CMUP-ERI/TIC/0046/2014, UIDB/50021/2020 ], by MCIN-AEI/10.13039/501100011033 (PGE and ERDF) [grants RTC-2017-5908-7, PID2019-105221RB-C41, PID2020-114635RB-I00 ], by MCIN-AEI “NextGenerationEU”/PRTR [grants PDC2021-120917-C21, PDC2021-121239-C31 ], by Xunta de Galicia /GAIN (co-funded by ERDF) [grant ED431C 2021/53 ], and by ANID - Millennium Science Initiative Program - Code ICN17_002 . We also wish to acknowledge the support received from the Centro de Investigación de Galicia “CITIC”, funded by Xunta de Galicia , FEDER Galicia 2014-2020 80%, SXU 20% [grant ED431G 2019/01 ].es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2021/53es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; PTDC/CCI-BIO/29676/2017es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; PTDC/CPO-CPO/28495/2017es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; CMUP-ERI/TIC/0046/2014es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; UIDB/50021/2020es_ES
dc.description.sponsorshipChile. Agencia Nacional de Investigacion y Desarrollo; ICN17_002es_ES
dc.identifier.citationM. E. Coimbra, J. Hrotkó, A.P. Francisco, L.M.S. Russo, G. de Bernardo, S.Ladra, and G. Navarro, "A practical succinct dynamic graph representation", Information and Computation, Vol. 285, Part B, May 2022, 104862, https://doi.org/10.1016/j.ic.2021.104862es_ES
dc.identifier.doi10.1016/j.ic.2021.104862
dc.identifier.issn0890-5401
dc.identifier.urihttp://hdl.handle.net/2183/40153
dc.language.isoenges_ES
dc.publisherElsevier Inc.es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/690941es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTC-2017-5908-7/ES/STEPS. Soluciones Tecnológicas para la Evolución en la Prestación de Servicios en campo/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105221RB-C41/ES/VISUALIZACION Y EXPLORACION BASADA EN FLUJOS Y ANALITICA DE BIG DATA ESPACIAL/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114635RB-I00/ES/EXPLOTACION ENRIQUECIDA DE TRAYECTORIAS CON ESTRUCTURAS DE DATOS COMPACTAS Y GIS/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2021-120917-C21/ES/SIGTRANSes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2021-121239-C31/ES/FLATCITY-POCes_ES
dc.relation.urihttps://doi.org/10.1016/j.ic.2021.104862es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 International (CC BY-NC-ND)es_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectCompact graph representationses_ES
dc.subjectDynamic graphses_ES
dc.subjectGraph libraryes_ES
dc.subjectk2-treees_ES
dc.titleA practical succinct dynamic graph representationes_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication23354397-ec74-4cbb-93ac-f85352e9fbd8
relation.isAuthorOfPublication55bfba4e-d15b-4c84-9894-ac53c2278caf
relation.isAuthorOfPublication.latestForDiscovery23354397-ec74-4cbb-93ac-f85352e9fbd8

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