Distributed Anonymous Computation of Social Distance

dc.contributor.authorBiagioni, Edoardo
dc.date.accessioned2016-03-10T21:57:03Z
dc.date.available2016-03-10T21:57:03Z
dc.date.issued2016-01-10
dc.descriptionThis is a paper describing how to compute social distance among participants in a social network, when the social network is stored in a distributed fashion and there is no central point of coordination.
dc.description.abstractIn a distributed social network, no single system holds information about all the individuals in the network, and no single system is trusted by all the individuals in the network. It is nonetheless desirable to reliably compute the social distance among individuals. This must be done anonymously, without giving away any identifying information about individuals in the social network, and reliably, without allowing anyone to pretend to be socially closer to someone else than they actually are. The Social Network Connectivity Algorithm, or SoNCA, ac- complishes these goals in a distributed manner. This paper describes both the high-level algorithm and a concrete design that is intended for future use with a network, AllNet, designed to provide secure interpersonal communication utilizing all avail- able means, including Internet, cellular communications, ad-hoc networking and delay-tolerant networking.
dc.format.extent4
dc.identifier.citationEdoardo Biagioni, "Distributed Anonymous Computation of Social Distance", CCNC 2016, January 9-12, 2016, Las Vegas NV
dc.identifier.urihttp://hdl.handle.net/10125/39968
dc.language.isoen-US
dc.publisherIEEE
dc.relation.urihttp://alnt.org/
dc.rightsCC-BY-SA
dc.subjectComputer science
dc.subjectsocial network
dc.subjectComputer science
dc.subjectAd hoc networks (Computer networks)
dc.subject.lcshAd hoc networks
dc.subject.lcsh(Computer networks)
dc.titleDistributed Anonymous Computation of Social Distance
dc.typeConference Paper
dc.type.dcmiText

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