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Querying Similarity in Metric Social Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F07%3A00048117" target="_blank" >RIV/00216224:14330/07:00048117 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Querying Similarity in Metric Social Networks

  • Original language description

    In this paper we tackle the issues of exploiting the concepts of social networking in processing similarity queries in the environment of a P2P network. The processed similarity queries are laying the base on which the relationships among peers are created. Consequently, the communities encompassing similar data emerge in the network. The architecture of the presented metric social network is formally defined using the acquaintance and friendship relations. Two version of the navigation algorithm are presented and thoroughly experimentally evaluated. Finally, learning ability of the metric social network is presented and discussed.

  • Czech name

  • Czech description

Classification

  • Type

    A - Audiovisual production

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GP201%2F07%2FP240" target="_blank" >GP201/07/P240: Distributed index structures for similarity searching</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • ISBN

    978-80-7355-077-6

  • Place of publication

    Brno

  • Publisher/client name

    Ing. Zdeněk Novotný, CSc.

  • Version

    MEMICS proceedings

  • Carrier ID

    N/A