• DocumentCode
    708625
  • Title

    Towards reputation measurement in online social networks

  • Author

    El Marrakchi, Mouna ; Bellafkih, Mostafa ; Bensaid, Hicham

  • Author_Institution
    RAI2S Dept., INPT, Rabat, Morocco
  • fYear
    2015
  • fDate
    25-26 March 2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    E-Reputation is gaining increasing attention among companies. Many brands are making deep invests in managing their image across the web and virtual communities. Thereby, marketers try to access to large volumes of data generated by e-reputation analysis. Their main issue is detecting what is said about their brand and how it can impact their business. As social mediacontributes in assessing opinions and feelings shared among internet users, it becomes crucial for companies to manage their brand´s reputation across online social networks. To this end, we propose a Reputation System to measure reputation of a product or a brand among a social network by introducing a vector model for representing and formalizing reputation in online social networks. The system gives a scoring to a product or an entity´s reputation, measured by parsing belonging opinions that are pouring in a community without asking any rating from its members.
  • Keywords
    marketing data processing; social networking (online); Internet users; RMS; brand reputation; e-reputation analysis; online social networks; parsing belonging opinions; reputation measurement system; vector model; Communities; Companies; Computational modeling; Context; Hidden Markov models; Probability density function; Social network services; Reputation Measurement; corporate reputation; e-Reputation; online social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Computer Vision (ISCV), 2015
  • Conference_Location
    Fez
  • Print_ISBN
    978-1-4799-7510-5
  • Type

    conf

  • DOI
    10.1109/ISACV.2015.7105540
  • Filename
    7105540