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dc.contributor.authorAharony, Nadav
dc.contributor.authorReed, David P.
dc.contributor.authorLippman, Andrew B.
dc.date.accessioned2010-10-01T19:43:57Z
dc.date.available2010-10-01T19:43:57Z
dc.date.issued2009-08
dc.identifier.isbn978-1-4244-5334-4
dc.identifier.otherINSPEC Accession Number: 10915380
dc.identifier.urihttp://hdl.handle.net/1721.1/58837
dc.description.abstractIn this position paper we explore a holistic approach for the integration of social and human-level concepts with all layers of the communication network. This integration is bidirectional - the social information can help inform and configure network-level parameters, while network information can contribute to the gathering and learning of social-level information. We review existing work and emerging trends in the area, as well as propose new ideas for socially-aware network applications. We present the motivations for a unified approach for integrating socially related information throughout the networking stack, and introduce the concept of a social area network (SocAN), which encompasses network architectures built for and around people and their social relationships.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CSE.2009.341en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.subjectDistributed architecturesen_US
dc.subjectNetwork configurationen_US
dc.subjectNetwork managementen_US
dc.subjectSocial awarenessen_US
dc.subjectSocial networksen_US
dc.subjectSocial patternsen_US
dc.titleSocial area networks: data networking of the people, by the people, for the peopleen_US
dc.typeArticleen_US
dc.identifier.citationAharony, N., D.P. Reed, and A. Lippman. “Social Area Networks: Data Networking of the People, by the People, for the People.” Computational Science and Engineering, 2009. CSE '09. International Conference on. 2009. 1148-1155. © 2009, IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.approverLippman, Andrew B.
dc.contributor.mitauthorReed, David P.
dc.contributor.mitauthorAharony, Nadav
dc.contributor.mitauthorLippman, Andrew B.
dc.relation.journalInternational Conference on Computational Science and Engineering.en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsAharony, Nadav; Reed, David P.; Lippman, Andrewen
dc.identifier.orcidhttps://orcid.org/0000-0003-2541-2266
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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