Spatial detection of organization under evacuation situation
Identifieur interne : 000303 ( Hal/Curation ); précédent : 000302; suivant : 000304Spatial detection of organization under evacuation situation
Auteurs : Cyrille Bertelle [France] ; Antoine Dutot [France] ; Michel Nabaa [France] ; Damien Olivier [France] ; Pascal Mallet [France]Source :
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Abstract
Recent events have shown that our agglomerations are vulnerable in front of emergency situations. There are a lot of factors to consider and one of them is the structure of towns generated by road networks. One way to study these structures is to modelize the networks by graphs and to use the theory developed on them. Recently, some works have studied the detection of communities in large graphs. A community in a graph is a set of connected nodes strongly connected to each other and less connected to nodes from other communities. The aim of detection is to identify communities according to a predefined criteria but without specifying the number of communities and the size of communites. The known algorithms find communities but without taking into account the time. We propose a dynamic algorithm of communities detection and we explain how it can be applied on Le Havre agglomeration, for example, to estimate the vu
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There are a lot of factors to consider and one of them is the structure of towns generated by road networks. One way to study these structures is to modelize the networks by graphs and to use the theory developed on them. Recently, some works have studied the detection of communities in large graphs. A community in a graph is a set of connected nodes strongly connected to each other and less connected to nodes from other communities. The aim of detection is to identify communities according to a predefined criteria but without specifying the number of communities and the size of communites. The known algorithms find communities but without taking into account the time. We propose a dynamic algorithm of communities detection and we explain how it can be applied on Le Havre agglomeration, for example, to estimate the vu</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Spatial detection of organization under evacuation situation</title><author role="aut"><persName><forename type="first">Cyrille</forename><surname>Bertelle</surname></persName><email></email><idno type="halauthor">50095</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Antoine</forename><surname>Dutot</surname></persName><email></email><idno type="halauthor">295674</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Michel</forename><surname>Nabaa</surname></persName><email>michel.nabaa@gmail.com</email><idno type="halauthor">445878</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Damien</forename><surname>Olivier</surname></persName><email></email><idno type="halauthor">295675</idno><affiliation ref="#struct-23832"></affiliation></author><author role="crp"><persName><forename type="first">Pascal</forename><surname>Mallet</surname></persName><email>Pascal.Mallet@agglo-havraise.fr</email><idno type="halauthor">445879</idno><affiliation ref="#struct-103904"></affiliation></author><editor role="depositor"><persName><forename>Michel</forename><surname>Nabaa</surname></persName><email>michel.nabaa@gmail.com</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2009-11-09 16:58:37</date><date type="whenModified">2009-11-09 17:00:54</date><date type="whenReleased">2009-11-09 17:00:54</date><date type="whenProduced">2008</date><date type="whenEndEmbargoed">2009-11-09</date><ref type="file" target="https://hal.archives-ouvertes.fr/hal-00430666/document"><date notBefore="2009-11-09"></date></ref><ref type="file" subtype="author" n="1" target="https://hal.archives-ouvertes.fr/hal-00430666/file/nabaa_ABS_.pdf"><date notBefore="2009-11-09"></date></ref></edition><respStmt><resp>contributor</resp><name key="145143"><persName><forename>Michel</forename><surname>Nabaa</surname></persName><email>michel.nabaa@gmail.com</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">hal-00430666</idno><idno type="halUri">https://hal.archives-ouvertes.fr/hal-00430666</idno><idno type="halBibtex">bertelle:hal-00430666</idno><idno type="halRefHtml">Agent Based Spatial Simulation international workshop, 2008, Paris, France</idno><idno type="halRef">Agent Based Spatial Simulation international workshop, 2008, Paris, France</idno></publicationStmt><seriesStmt><idno type="stamp" n="UNIV-ROUEN">Université de Rouen</idno><idno type="stamp" n="UNIV-LEHAVRE">Université du Havre</idno><idno type="stamp" n="INSA-ROUEN">Institut National des Sciences Appliquées de Rouen</idno><idno type="stamp" n="LITIS">Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes</idno></seriesStmt><notesStmt><note type="audience" n="1">Not set</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="0">No</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Spatial detection of organization under evacuation situation</title><author role="aut"><persName><forename type="first">Cyrille</forename><surname>Bertelle</surname></persName><idno type="halAuthorId">50095</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Antoine</forename><surname>Dutot</surname></persName><idno type="halAuthorId">295674</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Michel</forename><surname>Nabaa</surname></persName><email>michel.nabaa@gmail.com</email><idno type="halAuthorId">445878</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Damien</forename><surname>Olivier</surname></persName><idno type="halAuthorId">295675</idno><affiliation ref="#struct-23832"></affiliation></author><author role="crp"><persName><forename type="first">Pascal</forename><surname>Mallet</surname></persName><email>Pascal.Mallet@agglo-havraise.fr</email><idno type="halAuthorId">445879</idno><affiliation ref="#struct-103904"></affiliation></author></analytic><monogr><meeting><title>Agent Based Spatial Simulation international workshop</title><date type="start">2008</date><settlement>Paris</settlement><country key="FR">France</country></meeting><imprint></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">complex systems</term><term xml:lang="en">risk management</term><term xml:lang="en">organization detection</term><term xml:lang="en">vulnerability</term><term xml:lang="en">CODAH</term></keywords><classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Recent events have shown that our agglomerations are vulnerable in front of emergency situations. There are a lot of factors to consider and one of them is the structure of towns generated by road networks. One way to study these structures is to modelize the networks by graphs and to use the theory developed on them. Recently, some works have studied the detection of communities in large graphs. A community in a graph is a set of connected nodes strongly connected to each other and less connected to nodes from other communities. The aim of detection is to identify communities according to a predefined criteria but without specifying the number of communities and the size of communites. The known algorithms find communities but without taking into account the time. We propose a dynamic algorithm of communities detection and we explain how it can be applied on Le Havre agglomeration, for example, to estimate the vu</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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