From Causal History to Social Network in Distributed Social Semantic Software
Identifieur interne : 002451 ( Hal/Corpus ); précédent : 002450; suivant : 002452From Causal History to Social Network in Distributed Social Semantic Software
Auteurs : Khaled Aslan ; Hala Skaf-Molli ; Pascal MolliSource :
Abstract
Web 2.0 raises the importance of collaboration powered by social software. Social software clearly illustrated how it is possible to convert a community of strangers into a community of collaborators producing all together valuable content. However, collaboration is currently supported by collaboration providers such as Google, Yahoo, etc. following "Collaboration as a Service (CaaS)" approach. This approach arises privacy and censorship issues. Users have to trust CaaS providers for both security of hosted data and usage of collected data. Alternative approaches including private peer-to-peer networks, friend-to-friend networks, distributed version control systems, distributed peer-to-peer groupware, support collaboration without requiring a collaboration provider. Collaboration is powered with the resources provided by the users. If it is easy for a collaboration provider to extract the complete social network graph from the observed interactions. Obtaining social network informations in the distributed approach is more challenging. In fact, the distributed approach is designed to protect privacy of users and thus makes extracting the whole social network difficult. In this paper, we show how it is possible to compute a local view of the social network on each site in a distributed collaborative system approach.
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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Web 2.0 raises the importance of collaboration powered by social software. Social software clearly illustrated how it is possible to convert a community of strangers into a community of collaborators producing all together valuable content. However, collaboration is currently supported by collaboration providers such as Google, Yahoo, etc. following "Collaboration as a Service (CaaS)" approach. This approach arises privacy and censorship issues. Users have to trust CaaS providers for both security of hosted data and usage of collected data. Alternative approaches including private peer-to-peer networks, friend-to-friend networks, distributed version control systems, distributed peer-to-peer groupware, support collaboration without requiring a collaboration provider. Collaboration is powered with the resources provided by the users. If it is easy for a collaboration provider to extract the complete social network graph from the observed interactions. Obtaining social network informations in the distributed approach is more challenging. In fact, the distributed approach is designed to protect privacy of users and thus makes extracting the whole social network difficult. In this paper, we show how it is possible to compute a local view of the social network on each site in a distributed collaborative system approach.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">From Causal History to Social Network in Distributed Social Semantic Software</title><author role="aut"><persName><forename type="first">Khaled</forename><surname>Aslan</surname></persName><email>aslanalm@loria.fr</email><idno type="halauthor">470984</idno><affiliation ref="#struct-107894"></affiliation></author><author role="aut"><persName><forename type="first">Hala</forename><surname>Skaf-Molli</surname></persName><email>skaf@loria.fr</email><idno type="idhal">hala-skaf-molli</idno><idno type="halauthor">470985</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-107894"></affiliation></author><author role="aut"><persName><forename type="first">Pascal</forename><surname>Molli</surname></persName><email>Pascal.Molli@loria.fr</email><idno type="idhal">pascal-molli</idno><idno type="halauthor">128688</idno><orgName ref="#struct-300291"></orgName><affiliation ref="#struct-107894"></affiliation></author><editor role="depositor"><persName><forename>Khaled</forename><surname>Aslan</surname></persName><email>kmobayed@gmail.com</email></editor></titleStmt><editionStmt><edition n="v1"><date type="whenSubmitted">2011-05-20 13:30:35</date></edition><edition n="v2" type="current"><date type="whenSubmitted">2011-05-20 13:53:48</date><date type="whenModified">2015-09-22 01:13:13</date><date type="whenReleased">2011-05-20 14:00:20</date><date type="whenProduced">2010-04-26</date><date type="whenEndEmbargoed">2011-05-20</date><ref type="file" target="https://hal.inria.fr/inria-00461110v2/document"><date notBefore="2011-05-20"></date></ref><ref type="file" subtype="author" n="1" target="https://hal.inria.fr/inria-00461110/file/websci10-paper.pdf"><date notBefore="2011-05-20"></date></ref></edition><respStmt><resp>contributor</resp><name key="148894"><persName><forename>Khaled</forename><surname>Aslan</surname></persName><email>kmobayed@gmail.com</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00461110</idno><idno type="halUri">https://hal.inria.fr/inria-00461110</idno><idno type="halBibtex">aslan:inria-00461110</idno><idno type="halRefHtml">Web Science Conference 2010 - WebSci10, Apr 2010, Raleigh, United States. 2010</idno><idno type="halRef">Web Science Conference 2010 - WebSci10, Apr 2010, Raleigh, United States. 2010</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-NSS" p="LORIA">Réseaux, systèmes et services</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno></seriesStmt><notesStmt><note type="audience" n="2">International</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="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">From Causal History to Social Network in Distributed Social Semantic Software</title><author role="aut"><persName><forename type="first">Khaled</forename><surname>Aslan</surname></persName><email>aslanalm@loria.fr</email><idno type="halAuthorId">470984</idno><affiliation ref="#struct-107894"></affiliation></author><author role="aut"><persName><forename type="first">Hala</forename><surname>Skaf-Molli</surname></persName><email>skaf@loria.fr</email><idno type="idHal">hala-skaf-molli</idno><idno type="halAuthorId">470985</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-107894"></affiliation></author><author role="aut"><persName><forename type="first">Pascal</forename><surname>Molli</surname></persName><email>Pascal.Molli@loria.fr</email><idno type="idHal">pascal-molli</idno><idno type="halAuthorId">128688</idno><orgName ref="#struct-300291"></orgName><affiliation ref="#struct-107894"></affiliation></author></analytic><monogr><meeting><title>Web Science Conference 2010 - WebSci10</title><date type="start">2010-04-26</date><date type="end">2010-04-27</date><settlement>Raleigh</settlement><country key="US">United States</country></meeting><respStmt><resp>conferenceOrganizer</resp><name>Web Science Trust</name></respStmt><imprint><date type="datePub">2010-04-26</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><classCode scheme="halDomain" n="info.info-hc">Computer Science [cs]/Human-Computer Interaction [cs.HC]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Web 2.0 raises the importance of collaboration powered by social software. Social software clearly illustrated how it is possible to convert a community of strangers into a community of collaborators producing all together valuable content. However, collaboration is currently supported by collaboration providers such as Google, Yahoo, etc. following "Collaboration as a Service (CaaS)" approach. This approach arises privacy and censorship issues. Users have to trust CaaS providers for both security of hosted data and usage of collected data. Alternative approaches including private peer-to-peer networks, friend-to-friend networks, distributed version control systems, distributed peer-to-peer groupware, support collaboration without requiring a collaboration provider. Collaboration is powered with the resources provided by the users. If it is easy for a collaboration provider to extract the complete social network graph from the observed interactions. Obtaining social network informations in the distributed approach is more challenging. In fact, the distributed approach is designed to protect privacy of users and thus makes extracting the whole social network difficult. In this paper, we show how it is possible to compute a local view of the social network on each site in a distributed collaborative system approach.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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