Social Data Analytics Tool (SODATO)

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

    Abstract

    This paper presents the Social Data Analytics Tool (SODATO) that is designed, developed and evaluated to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations.
    This paper presents the Social Data Analytics Tool (SODATO) that is designed, developed and evaluated to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations.
    LanguageEnglish
    Title of host publicationAdvancing the Impact of Design Science: Moving from Theory to Practice : Proceedings of the 9th International Conference, DESRIST 2014
    EditorsMonica Chiarini Tremblay, Debra VanderMeer, Marcus Rothenberger, Ashish Gupta, Victoria Yoon
    Place of PublicationHeidelberg
    PublisherSpringer Science+Business Media
    Date2014
    Pages368-372
    ISBN (Print)9783319067001
    ISBN (Electronic)9783319067018
    DOIs
    StatePublished - 2014
    EventThe 9th International Conference on Design Science Research in Information Systems and Technology. DESRIST 2014 - JW Marriott, Miami, FL, United States
    Duration: 22 May 201423 May 2014
    Conference number: 9
    http://desrist2014.fiu.edu/

    Conference

    ConferenceThe 9th International Conference on Design Science Research in Information Systems and Technology. DESRIST 2014
    Number9
    LocationJW Marriott
    CountryUnited States
    CityMiami, FL
    Period22/05/201423/05/2014
    Internet address
    SeriesLecture Notes in Computer Science
    Number8463
    ISSN0302-9743

    Keywords

      Cite this

      Hussain, A., & Vatrapu, R. (2014). Social Data Analytics Tool (SODATO). In M. C. Tremblay, D. VanderMeer, M. Rothenberger, A. Gupta, & V. Yoon (Eds.), Advancing the Impact of Design Science: Moving from Theory to Practice: Proceedings of the 9th International Conference, DESRIST 2014 (pp. 368-372). Heidelberg: Springer Science+Business Media. Lecture Notes in Computer Science, No. 8463, DOI: 10.1007/978-3-319-06701-8_27
      Hussain, Abid ; Vatrapu, Ravi. / Social Data Analytics Tool (SODATO). Advancing the Impact of Design Science: Moving from Theory to Practice: Proceedings of the 9th International Conference, DESRIST 2014. editor / Monica Chiarini Tremblay ; Debra VanderMeer ; Marcus Rothenberger ; Ashish Gupta ; Victoria Yoon. Heidelberg : Springer Science+Business Media, 2014. pp. 368-372 (Lecture Notes in Computer Science; No. 8463).
      @inproceedings{e58fd8c336974ea9811cc62207e383f7,
      title = "Social Data Analytics Tool (SODATO)",
      abstract = "This paper presents the Social Data Analytics Tool (SODATO) that is designed, developed and evaluated to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations.",
      keywords = "Social media, Data science, Computational social science, Big data analytics",
      author = "Abid Hussain and Ravi Vatrapu",
      year = "2014",
      doi = "10.1007/978-3-319-06701-8_27",
      language = "English",
      isbn = "9783319067001",
      pages = "368--372",
      editor = "Tremblay, {Monica Chiarini } and Debra VanderMeer and Marcus Rothenberger and Ashish Gupta and Victoria Yoon",
      booktitle = "Advancing the Impact of Design Science: Moving from Theory to Practice",
      publisher = "Springer Science+Business Media",
      address = "Germany",

      }

      Hussain, A & Vatrapu, R 2014, Social Data Analytics Tool (SODATO). in MC Tremblay, D VanderMeer, M Rothenberger, A Gupta & V Yoon (eds), Advancing the Impact of Design Science: Moving from Theory to Practice: Proceedings of the 9th International Conference, DESRIST 2014. Springer Science+Business Media, Heidelberg, Lecture Notes in Computer Science, no. 8463, pp. 368-372, Miami, FL, United States, 22/05/2014. DOI: 10.1007/978-3-319-06701-8_27

      Social Data Analytics Tool (SODATO). / Hussain, Abid; Vatrapu, Ravi.

      Advancing the Impact of Design Science: Moving from Theory to Practice: Proceedings of the 9th International Conference, DESRIST 2014. ed. / Monica Chiarini Tremblay; Debra VanderMeer; Marcus Rothenberger; Ashish Gupta; Victoria Yoon. Heidelberg : Springer Science+Business Media, 2014. p. 368-372.

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

      TY - GEN

      T1 - Social Data Analytics Tool (SODATO)

      AU - Hussain,Abid

      AU - Vatrapu,Ravi

      PY - 2014

      Y1 - 2014

      N2 - This paper presents the Social Data Analytics Tool (SODATO) that is designed, developed and evaluated to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations.

      AB - This paper presents the Social Data Analytics Tool (SODATO) that is designed, developed and evaluated to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations.

      KW - Social media

      KW - Data science

      KW - Computational social science

      KW - Big data analytics

      U2 - 10.1007/978-3-319-06701-8_27

      DO - 10.1007/978-3-319-06701-8_27

      M3 - Article in proceedings

      SN - 9783319067001

      SP - 368

      EP - 372

      BT - Advancing the Impact of Design Science: Moving from Theory to Practice

      PB - Springer Science+Business Media

      CY - Heidelberg

      ER -

      Hussain A, Vatrapu R. Social Data Analytics Tool (SODATO). In Tremblay MC, VanderMeer D, Rothenberger M, Gupta A, Yoon V, editors, Advancing the Impact of Design Science: Moving from Theory to Practice: Proceedings of the 9th International Conference, DESRIST 2014. Heidelberg: Springer Science+Business Media. 2014. p. 368-372. (Lecture Notes in Computer Science; No. 8463). Available from, DOI: 10.1007/978-3-319-06701-8_27