• DocumentCode
    660753
  • Title

    MultiScale Modeling of Islamic Organizations in UK

  • Author

    Nyunsu Kim ; Tikves, Sukru ; Zheng Wang ; Githens-Mazer, Jonathan ; Davulcu, Hasan

  • Author_Institution
    CIDSE, Arizona State Univ., Tempe, AZ, USA
  • fYear
    2013
  • fDate
    8-14 Sept. 2013
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    In this paper we utilize an efficient sparse inverse covariance matrix (precision matrix) estimation technique to identify a set of highly correlated discriminative perspectives. We develop a ranking system that utilizes ranked perspectives to map 26 UK Islamic organizations on a set of socio-cultural, political and behavioral scales based on their web corpus. We create a gold standard ranking of these organizations through an expertise elicitation tool. We compute expert-to-expert agreements, and we present experimental results comparing the performance of the QUIC based scaling system to another baseline method. The QUIC based algorithm not only outperforms the baseline method, but it is also the only system that consistently performs at area expert-level accuracies for all scales.
  • Keywords
    behavioural sciences computing; covariance matrices; cultural aspects; politics; sparse matrices; QUIC based algorithm; QUIC based scaling system; UK Islamic organizations; Web corpus; behavioral scales; expert-level accuracies; expert-to-expert agreements; expertise elicitation tool; gold standard ranking; highly correlated discriminative perspectives; multiscale modeling; political scales; precision matrix estimation technique; ranked perspectives; ranking system; socio-cultural scales; sparse inverse covariance matrix; Covariance matrices; Cultural differences; Gold; Organizations; Standards organizations; Web sites; Data Mining in Social Contexts; Social Behavior Modeling; Social Scaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Social Computing (SocialCom), 2013 International Conference on
  • Conference_Location
    Alexandria, VA
  • Type

    conf

  • DOI
    10.1109/SocialCom.2013.8
  • Filename
    6693305