• DocumentCode
    245974
  • Title

    The Social Feature-Based Priority Relation Graph of Mobile Social Networks

  • Author

    Limei Lin ; Li Xu ; Shuming Zhou ; Wei Wu

  • Author_Institution
    Sch. of Math., Fujian Normal Univ., Fuzhou, China
  • fYear
    2014
  • fDate
    19-21 Dec. 2014
  • Firstpage
    1921
  • Lastpage
    1926
  • Abstract
    The mobile social network (MSN) can be considered as a system which provides a variety of data delivery services involving the social relationship among mobile users. Mobile social networks have the surprising property of being "searchable": Ordinary users contact with each other more frequently when they have more social features in common. In this paper, we first define a priority relationship between two mobile users in terms of their internal social features, and then we present a social feature-based priority relation graph of MSNs. The social feature-based priority relation graph is an (n{m1,...,mn}, k)-hypercube, in which two nodes are adjacent if and only if they differ in no more than k positions where k is the number of key features and k≪n. The priority relation graph of MSNs has some applications. First, it is the fundamental framework of data deliver routing. And then, a large area of circuit communication services can be guaranteed based on the priority relation graph in MSNs, which only need to a little cost.
  • Keywords
    graph theory; mobile computing; social networking (online); MSN; data delivery routing; data delivery services; internal social features; mobile social networks; social feature-based priority relation graph; Educational institutions; Mathematics; Mobile communication; Mobile computing; Mobile handsets; Routing; Social network services; (nm1; Mobile social networks; Priority relation graph; Priority relationship; Social features; k) - hypercubes; mn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-7980-6
  • Type

    conf

  • DOI
    10.1109/CSE.2014.352
  • Filename
    7023864