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Authordc.contributor.authorBarbay, Jérémy 
Authordc.contributor.authorCastelli Aleardi, Luca es_CL
Authordc.contributor.authorHe, Meng es_CL
Authordc.contributor.authorMunro, J. Ian es_CL
Admission datedc.date.accessioned2012-05-23T20:22:20Z
Available datedc.date.available2012-05-23T20:22:20Z
Publication datedc.date.issued2012-02
Cita de ítemdc.identifier.citationALGORITHMICA Volume: 62 Issue: 1-2 Pages: 224-257 Published: FEB 2012es_CL
Identifierdc.identifier.issn0178-4617
Identifierdc.identifier.otherDOI: 10.1007/s00453-010-9452-7
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/125601
Abstractdc.description.abstractIn many applications, the properties of an object being modeled are stored as labels on vertices or edges of a graph. In this paper, we consider succinct representation of labeled graphs. Our main results are the succinct representations of labeled and multi-labeled graphs (we consider planar triangulations, planar graphs and k-page graphs) to support various label queries efficiently. The additional space cost to store the labels is essentially the information-theoretic minimum. As far as we know, our representations are the first succinct representations of labeled graphs. We also have two preliminary results to achieve the main contribution. First, we design a succinct representation of unlabeled planar triangulations to support the rank/select of edges in ccw (counter clockwise) order in addition to the other operations supported in previous work. Second, we design a succinct representation for a k-page graph when k is large to support various navigational operations more efficiently. In particular, we can test the adjacency of two vertices in O(lg k) time, while previous work uses O(k) time.es_CL
Patrocinadordc.description.sponsorshipNSERC of Canada Canada Research Chairs program ERC ERC StG 208471-ExploreMapes_CL
Lenguagedc.language.isoenes_CL
Publisherdc.publisherSpringeres_CL
Keywordsdc.subjectSuccinct data structureses_CL
Títulodc.titleSuccinct Representation of Labeled Graphses_CL
Document typedc.typeArtículo de revista


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