Social Data Analytics Tool: Design, Development and Demonstrative Case Studies

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    Resumé

    This paper presents the design, development and demonstrative case studies of the Social Data Analytics Tool, SODATO. Adopting Action Design Framework [1], the objective of SODATO [2] is to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. We report and discuss results from two demonstrative case studies that were conducted using SODATO and conclude with implications and future work.
    OriginalsprogEngelsk
    TitelProceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014
    RedaktørerGeorg Grossmann, Sylvain Hallé, Dimka Karastoyanova, Manfred Reichert, Stefanie Rinderle-Ma
    Antal sider5
    Udgivelses stedLos Alamitos, CA
    ForlagIEEE
    Publikationsdato2014
    Sider414-417
    Artikelnummer6975394
    ISBN (Trykt)9781479954704
    DOI
    StatusUdgivet - 2014
    BegivenhedThe 18th IEEE Enterprise Computing Conference. EDOC 2014: Utilizing Big Data for the Enterprise of the Future - Ulm, Tyskland
    Varighed: 1 sep. 20145 sep. 2014
    Konferencens nummer: 18
    http://www.edoc2014.org/

    Konference

    KonferenceThe 18th IEEE Enterprise Computing Conference. EDOC 2014
    Nummer18
    LandTyskland
    ByUlm
    Periode01/09/201405/09/2014
    Internetadresse
    NavnInternational Enterprise Distributed Object Computing Conference. Proceedings
    Vol/bind18
    ISSN1541-7719

    Bibliografisk note

    CBS Bibliotek har ikke adgang til materialet

    Emneord

    • Data science
    • Computational social science
    • Social data analytics
    • Social graph
    • Social text

    Citer dette

    Hussain, A., & Vatrapu, R. (2014). Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. I G. Grossmann, S. Hallé, D. Karastoyanova, M. Reichert, & S. Rinderle-Ma (red.), Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014 (s. 414-417). [6975394] Los Alamitos, CA: IEEE. International Enterprise Distributed Object Computing Conference. Proceedings, Bind. 18 https://doi.org/10.1109/EDOCW.2014.70
    Hussain, Abid ; Vatrapu, Ravi. / Social Data Analytics Tool : Design, Development and Demonstrative Case Studies. Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014. red. / Georg Grossmann ; Sylvain Hallé ; Dimka Karastoyanova ; Manfred Reichert ; Stefanie Rinderle-Ma. Los Alamitos, CA : IEEE, 2014. s. 414-417 (International Enterprise Distributed Object Computing Conference. Proceedings, Bind 18).
    @inproceedings{55d4ea9776484bad839b06a6f11209ee,
    title = "Social Data Analytics Tool: Design, Development and Demonstrative Case Studies",
    abstract = "This paper presents the design, development and demonstrative case studies of the Social Data Analytics Tool, SODATO. Adopting Action Design Framework [1], the objective of SODATO [2] is to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. We report and discuss results from two demonstrative case studies that were conducted using SODATO and conclude with implications and future work.",
    keywords = "Data science, Computational social science, Social data analytics, Social graph, Social text",
    author = "Abid Hussain and Ravi Vatrapu",
    note = "CBS Library does not have access to the material",
    year = "2014",
    doi = "10.1109/EDOCW.2014.70",
    language = "English",
    isbn = "9781479954704",
    series = "International Enterprise Distributed Object Computing Conference. Proceedings",
    pages = "414--417",
    editor = "Georg Grossmann and Sylvain Hall{\'e} and Dimka Karastoyanova and Manfred Reichert and Stefanie Rinderle-Ma",
    booktitle = "Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014",
    publisher = "IEEE",
    address = "United States",

    }

    Hussain, A & Vatrapu, R 2014, Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. i G Grossmann, S Hallé, D Karastoyanova, M Reichert & S Rinderle-Ma (red), Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014., 6975394, IEEE, Los Alamitos, CA, International Enterprise Distributed Object Computing Conference. Proceedings, bind 18, s. 414-417, The 18th IEEE Enterprise Computing Conference. EDOC 2014, Ulm, Tyskland, 01/09/2014. https://doi.org/10.1109/EDOCW.2014.70

    Social Data Analytics Tool : Design, Development and Demonstrative Case Studies. / Hussain, Abid; Vatrapu, Ravi.

    Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014. red. / Georg Grossmann; Sylvain Hallé; Dimka Karastoyanova; Manfred Reichert; Stefanie Rinderle-Ma. Los Alamitos, CA : IEEE, 2014. s. 414-417 6975394 (International Enterprise Distributed Object Computing Conference. Proceedings, Bind 18).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    TY - GEN

    T1 - Social Data Analytics Tool

    T2 - Design, Development and Demonstrative Case Studies

    AU - Hussain, Abid

    AU - Vatrapu, Ravi

    N1 - CBS Library does not have access to the material

    PY - 2014

    Y1 - 2014

    N2 - This paper presents the design, development and demonstrative case studies of the Social Data Analytics Tool, SODATO. Adopting Action Design Framework [1], the objective of SODATO [2] is to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. We report and discuss results from two demonstrative case studies that were conducted using SODATO and conclude with implications and future work.

    AB - This paper presents the design, development and demonstrative case studies of the Social Data Analytics Tool, SODATO. Adopting Action Design Framework [1], the objective of SODATO [2] is to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. We report and discuss results from two demonstrative case studies that were conducted using SODATO and conclude with implications and future work.

    KW - Data science

    KW - Computational social science

    KW - Social data analytics

    KW - Social graph

    KW - Social text

    U2 - 10.1109/EDOCW.2014.70

    DO - 10.1109/EDOCW.2014.70

    M3 - Article in proceedings

    SN - 9781479954704

    T3 - International Enterprise Distributed Object Computing Conference. Proceedings

    SP - 414

    EP - 417

    BT - Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014

    A2 - Grossmann, Georg

    A2 - Hallé, Sylvain

    A2 - Karastoyanova, Dimka

    A2 - Reichert, Manfred

    A2 - Rinderle-Ma, Stefanie

    PB - IEEE

    CY - Los Alamitos, CA

    ER -

    Hussain A, Vatrapu R. Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. I Grossmann G, Hallé S, Karastoyanova D, Reichert M, Rinderle-Ma S, red., Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014. Los Alamitos, CA: IEEE. 2014. s. 414-417. 6975394. (International Enterprise Distributed Object Computing Conference. Proceedings, Bind 18). https://doi.org/10.1109/EDOCW.2014.70