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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    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.
    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.
    LanguageEnglish
    Title of host publicationProceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014
    EditorsGeorg Grossmann, Sylvain Hallé, Dimka Karastoyanova, Manfred Reichert, Stefanie Rinderle-Ma
    Number of pages5
    Place of PublicationLos Alamitos, CA
    PublisherIEEE
    Date2014
    Pages414-417
    Article number6975394
    ISBN (Print)9781479954704
    DOIs
    StatePublished - 2014
    EventThe 18th IEEE Enterprise Computing Conference. EDOC 2014: Utilizing Big Data for the Enterprise of the Future - Ulm, Germany
    Duration: 1 Sep 20145 Sep 2014
    Conference number: 18
    http://www.edoc2014.org/

    Conference

    ConferenceThe 18th IEEE Enterprise Computing Conference. EDOC 2014
    Number18
    CountryGermany
    CityUlm
    Period01/09/201405/09/2014
    Internet address
    SeriesInternational Enterprise Distributed Object Computing Conference. Proceedings
    Volume18
    ISSN1541-7719

    Bibliographical note

    CBS Library does not have access to the material

    Keywords

      Cite this

      Hussain, A., & Vatrapu, R. (2014). Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. In G. Grossmann, S. Hallé, D. Karastoyanova, M. Reichert, & S. Rinderle-Ma (Eds.), Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014 (pp. 414-417). [6975394] Los Alamitos, CA: IEEE. International Enterprise Distributed Object Computing Conference. Proceedings, Vol.. 18, DOI: 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. editor / Georg Grossmann ; Sylvain Hallé ; Dimka Karastoyanova ; Manfred Reichert ; Stefanie Rinderle-Ma. Los Alamitos, CA : IEEE, 2014. pp. 414-417 (International Enterprise Distributed Object Computing Conference. Proceedings, ???volume??? 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",
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      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",
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      }

      Hussain, A & Vatrapu, R 2014, Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. in G Grossmann, S Hallé, D Karastoyanova, M Reichert & S Rinderle-Ma (eds), 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, vol. 18, pp. 414-417, Ulm, Germany, 01/09/2014. DOI: 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. ed. / Georg Grossmann; Sylvain Hallé; Dimka Karastoyanova; Manfred Reichert; Stefanie Rinderle-Ma. Los Alamitos, CA : IEEE, 2014. p. 414-417 6975394.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

      TY - GEN

      T1 - Social Data Analytics Tool

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      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.

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      KW - Computational social science

      KW - Social data analytics

      KW - Social graph

      KW - Social text

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      DO - 10.1109/EDOCW.2014.70

      M3 - Article in proceedings

      SN - 9781479954704

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

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      CY - Los Alamitos, CA

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      Hussain A, Vatrapu R. Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. In Grossmann G, Hallé S, Karastoyanova D, Reichert M, Rinderle-Ma S, editors, Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014. Los Alamitos, CA: IEEE. 2014. p. 414-417. 6975394. (International Enterprise Distributed Object Computing Conference. Proceedings, Vol. 18). Available from, DOI: 10.1109/EDOCW.2014.70