Social Set Visualizer: Demonstration of Methodology and Software

Benjamin Flesch, Abid Hussain, Ravi Vatrapu

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

    Resumé

    This paper presents a state-of-the art visual analytics dash-board, Social Set Visualizer (SoSeVi), of approximately 90 million Facebook actions from 11 different companies that have been mentioned in the traditional media in relation to garment factory accidents in Bangladesh. The enterprise application domain for the dashboard is Corporate Social Responsibility (CSR) and the targeted end-users are CSR researchers and practitioners. The design of the dashboard was based on the "social set analytics" approach to computational social science. The development of the dash-board involved cutting-edge open source visual analytics libraries from D3.js and creation of new visualizations (ac-tor mobility across time, conversational comets etc). Evaluation of the dashboard consisting of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results.
    OriginalsprogEngelsk
    TitelProceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015)
    RedaktørerSylvain Hallé, Wolfgang Mayer
    Antal sider4
    Udgivelses stedLos Alamitos, CA
    ForlagIEEE
    Publikationsdato2015
    Sider148-151
    Artikelnummer7310685
    ISBN (Trykt)9781467393317
    ISBN (Elektronisk)9781467393317
    DOI
    StatusUdgivet - 2015
    BegivenhedThe 19th IEEE International Enterprise Distributed Object Computing Conference. EDOC 2015: The Enterprise Computing Conference - University of South Australia, Adelaide, Australien
    Varighed: 22 sep. 201525 sep. 2015
    Konferencens nummer: 19
    https://edoc2015.unisa.edu.au/

    Konference

    KonferenceThe 19th IEEE International Enterprise Distributed Object Computing Conference. EDOC 2015
    Nummer19
    LokationUniversity of South Australia
    LandAustralien
    ByAdelaide
    Periode22/09/201525/09/2015
    Internetadresse

    Bibliografisk note

    CBS Bibliotek har ikke adgang til materialet

    Citer dette

    Flesch, B., Hussain, A., & Vatrapu, R. (2015). Social Set Visualizer: Demonstration of Methodology and Software. I S. Hallé, & W. Mayer (red.), Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015) (s. 148-151). [7310685] Los Alamitos, CA: IEEE. https://doi.org/10.1109/EDOCW.2015.18
    Flesch, Benjamin ; Hussain, Abid ; Vatrapu, Ravi. / Social Set Visualizer : Demonstration of Methodology and Software. Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015). red. / Sylvain Hallé ; Wolfgang Mayer. Los Alamitos, CA : IEEE, 2015. s. 148-151
    @inproceedings{0c826e27b5d5404c906ba635c1f74e3c,
    title = "Social Set Visualizer: Demonstration of Methodology and Software",
    abstract = "This paper presents a state-of-the art visual analytics dash-board, Social Set Visualizer (SoSeVi), of approximately 90 million Facebook actions from 11 different companies that have been mentioned in the traditional media in relation to garment factory accidents in Bangladesh. The enterprise application domain for the dashboard is Corporate Social Responsibility (CSR) and the targeted end-users are CSR researchers and practitioners. The design of the dashboard was based on the {"}social set analytics{"} approach to computational social science. The development of the dash-board involved cutting-edge open source visual analytics libraries from D3.js and creation of new visualizations (ac-tor mobility across time, conversational comets etc). Evaluation of the dashboard consisting of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results.",
    author = "Benjamin Flesch and Abid Hussain and Ravi Vatrapu",
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    Flesch, B, Hussain, A & Vatrapu, R 2015, Social Set Visualizer: Demonstration of Methodology and Software. i S Hallé & W Mayer (red), Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015)., 7310685, IEEE, Los Alamitos, CA, s. 148-151, The 19th IEEE International Enterprise Distributed Object Computing Conference. EDOC 2015, Adelaide, Australien, 22/09/2015. https://doi.org/10.1109/EDOCW.2015.18

    Social Set Visualizer : Demonstration of Methodology and Software. / Flesch, Benjamin; Hussain, Abid; Vatrapu, Ravi.

    Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015). red. / Sylvain Hallé; Wolfgang Mayer. Los Alamitos, CA : IEEE, 2015. s. 148-151 7310685.

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

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    T1 - Social Set Visualizer

    T2 - Demonstration of Methodology and Software

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    AU - Hussain, Abid

    AU - Vatrapu, Ravi

    N1 - CBS Library does not have access to the material

    PY - 2015

    Y1 - 2015

    N2 - This paper presents a state-of-the art visual analytics dash-board, Social Set Visualizer (SoSeVi), of approximately 90 million Facebook actions from 11 different companies that have been mentioned in the traditional media in relation to garment factory accidents in Bangladesh. The enterprise application domain for the dashboard is Corporate Social Responsibility (CSR) and the targeted end-users are CSR researchers and practitioners. The design of the dashboard was based on the "social set analytics" approach to computational social science. The development of the dash-board involved cutting-edge open source visual analytics libraries from D3.js and creation of new visualizations (ac-tor mobility across time, conversational comets etc). Evaluation of the dashboard consisting of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results.

    AB - This paper presents a state-of-the art visual analytics dash-board, Social Set Visualizer (SoSeVi), of approximately 90 million Facebook actions from 11 different companies that have been mentioned in the traditional media in relation to garment factory accidents in Bangladesh. The enterprise application domain for the dashboard is Corporate Social Responsibility (CSR) and the targeted end-users are CSR researchers and practitioners. The design of the dashboard was based on the "social set analytics" approach to computational social science. The development of the dash-board involved cutting-edge open source visual analytics libraries from D3.js and creation of new visualizations (ac-tor mobility across time, conversational comets etc). Evaluation of the dashboard consisting of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results.

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    M3 - Article in proceedings

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    EP - 151

    BT - Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015)

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    Flesch B, Hussain A, Vatrapu R. Social Set Visualizer: Demonstration of Methodology and Software. I Hallé S, Mayer W, red., Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015). Los Alamitos, CA: IEEE. 2015. s. 148-151. 7310685 https://doi.org/10.1109/EDOCW.2015.18