• DocumentCode
    3695955
  • Title

    Research on Identifying the BBS Active Users with SNA

  • Author

    Xueyan Zhou;Jing Yang;Zehong Lin;Guijie Zhang;Yuli Liu

  • Author_Institution
    Coll. of Comput. Sci. &
  • Volume
    1
  • fYear
    2015
  • Firstpage
    70
  • Lastpage
    73
  • Abstract
    BBS is an important channel of public opinion spreading, so identifying and classifying the active users will naturally become the primary goal of public opinion control. The paper provides an active users identifying algorithm, firstly the active users are extracted using the graph theory and relation matrix, and then the active users are divided into influential users and no influential ones. Then feasibility and effectiveness of the model is verified by experiments.
  • Keywords
    "Social network services","Algorithm design and analysis","Pediatrics","Classification algorithms","Internet","Sorting","Message systems"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
  • Print_ISBN
    978-1-4799-8645-3
  • Type

    conf

  • DOI
    10.1109/IHMSC.2015.32
  • Filename
    7334654
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3695955