• DocumentCode
    1785377
  • Title

    Social network ties dynamic measurement framework

  • Author

    Ranjan, Pravin ; Vaish, Abhishek ; Coull, Natalie

  • Author_Institution
    Indian Inst. of Inf. Technol., Allahabad, India
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In our present day society, communication is rapidly becoming faster and more complex, with many new technologies in the communication field, people are finding it easier to communicate faster and more effectively with each other. Consequently it poses challenging risks if these are being used in surreptitious manner for planning and coordinating a crime. Therefore, this huge social network needs to be monitored very closely all the time. This paper tries to find the machine perception on the basis of association rule applied over complex social network. This quantifies the social ties strength among nodes and compresses the huge social network in most active state of network.
  • Keywords
    computer vision; data mining; social networking (online); association rule; complex social network; machine perception; social network ties dynamic measurement framework; Association rules; Educational institutions; Mobile communication; Receivers; Servers; Social network services; Call Log Analysis; Social Network Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering and Systems (SCES), 2014 Students Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4799-4940-3
  • Type

    conf

  • DOI
    10.1109/SCES.2014.6880052
  • Filename
    6880052