Link recommendation in P2P social networks

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dc.contributor.authorAytaş, Yusufen_US
dc.contributor.authorFerhatosmanoğlu, Hakanen_US
dc.contributor.authorUlusoy, Özgüren_US
dc.coverage.spatialIstanbul, Turkeyen_US
dc.date.accessioned2019-09-07T09:47:31Z
dc.date.available2019-09-07T09:47:31Z
dc.date.issued2012
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: WOSS 2012 : VLDB Workshop on Online Social Systemsen_US
dc.descriptionDate of Conference: August 2012en_US
dc.description.abstractSocial networks have been mostly based on a centralized infrastructure where the owner hosts all the data and services. This model of “fat server & thin clients” results in many systems and practical problems such as privacy, censorship, scalability, and fault-tolerance. While a P2P infrastructure would be a natural alternative for implementing social networks, it has surprisingly not attracted enough attention yet. Significant research is needed to develop a P2P social network system. From an algorithmic perspective, most graph algorithms for social networks assume that the global graph is available. These need to be revisited in a P2P setting where the nodes have limited information with connectivity to only their neighbors. Following these observations, in this paper, we focus on social network link recommendation problem in a P2P setting. We investigate methods to recommend links to improve social connections as well as the efficiency of the overlay network. We evaluate our methods with respect to measures developed for P2P social networks.en_US
dc.identifier.urihttp://hdl.handle.net/11693/52382
dc.language.isoEnglishen_US
dc.publisherWOSSen_US
dc.source.titleWOSS 2012 : VLDB Workshop on Online Social Systemsen_US
dc.subjectSocial networken_US
dc.subjectP2P networken_US
dc.subjectLink predictionen_US
dc.subjectMeasurementen_US
dc.titleLink recommendation in P2P social networksen_US
dc.typeConference Paperen_US
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