• DocumentCode
    2352327
  • Title

    Analyzing Opinion Formation in Online Social Networks: Mining Services for Online Market Research

  • Author

    Kaiser, Carolin ; Kröckel, Johannes ; Bodendorf, Freimut

  • Author_Institution
    Dept. of Inf. Syst., Univ. of Erlangen-Nuremberg, Nuremberg, Germany
  • fYear
    2011
  • fDate
    March 29 2011-April 2 2011
  • Firstpage
    384
  • Lastpage
    391
  • Abstract
    Networking via the Internet is becoming very popular. Many people meet up in online social networks where they form friendships, share the same interests and discuss several topics. By interacting with each other, people influence one another´s opinions. Analyzing opinion formation in online social networks yields significant information for market research. This paper introduces mining services which explain and predict opinion formation of the network members on the basis of their social relationships by combining methods from text mining and swarm intelligence. The approach is illustrated by taking an online gaming community as an example.
  • Keywords
    Internet; data mining; marketing data processing; social networking (online); text analysis; Internet; market research; mining services; network members; online gaming community; online market research; online social networks; opinion formation; social relationships; swarm intelligence; text mining; Accuracy; Communities; Games; Internet; Social network services; Text mining; Mining Services; Opinion Formation; Social Network Analysis; Swarm Intelligence; Text Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SRII Global Conference (SRII), 2011 Annual
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-61284-415-2
  • Electronic_ISBN
    978-0-7695-4371-0
  • Type

    conf

  • DOI
    10.1109/SRII.2011.51
  • Filename
    5958112