Social Set Visualizer (SoSeVi) II

Interactive Social Set Analysis of Big Data

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    Resumé

    Current state-of-the-art in big social data analytics is largely limited to graph theoretical approaches such as social network analysis (SNA) informed by the social philosophical approach of relational sociology. This paper proposes and illustrates an alternate holistic approach to big social data analytics, social set analysis (SSA), which is based on the sociology of associations, mathematics of set theory, and advanced visual analytics of event studies. We first presented the SSA approach to a wider audience at IEEE Big Data 2015 [6], IEEE EDOCW 2015 [7], and IEEE EDOCW 2016 [8]. Since then we worked on improving SoSeVi in order to further demonstrate its usefulness in large-scale visual analytics tasks of individual and collective behavior of actors in social networks. The current iteration of the Social Set Visualizer (SoSeVi) builds upon some of the concepts laid out by the UpSet project [14] and aims to further improve the capabilities of researchers and practitioners in big social data analytics alike. We then illustrate our new approach by reporting on the design, development, and evaluation results of a state-of-theart visual analytics dashboard, the Social Set Visualizer (SoSeVi). The development of the dashboard involved cutting-edge open source visual analytics libraries (D3.js) and creation of new visualizations such as visualizations of actor mobility across time and space, conversational comets, and more. Evaluation of the dashboard consisted of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results. In conclusion, we discuss the new analytical approach of social set analysis and conclude with a discussion of the benefits of set theoretical approaches based on the social philosophical approach of associational sociology.
    OriginalsprogEngelsk
    TitelProceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016
    RedaktørerSven Linker, Peter Rodgers
    Antal sider10
    Vol/bind1655
    Udgivelses stedAachen
    ForlagCEUR
    Publikationsdato2016
    Sider19-28
    StatusUdgivet - 2016
    BegivenhedInternational Workshop on Set Visualization and Reasoning - Chubb Hotel and Conference Center, Philadelphia, USA
    Varighed: 7 aug. 20167 aug. 2016
    https://sites.google.com/site/setvr2kn/current-workshop

    Workshop

    WorkshopInternational Workshop on Set Visualization and Reasoning
    LokationChubb Hotel and Conference Center
    LandUSA
    ByPhiladelphia
    Periode07/08/201607/08/2016
    Internetadresse
    NavnCEUR Workshop Proceedings
    Vol/bind1655
    ISSN1613-0073

    Emneord

    • Big data visual analytics
    • Big social data
    • Computational set analysis
    • Event studies
    • Social set analysis

    Citer dette

    Flesch, B., Vatrapu, R., Mukkamala, R. R., & Hussain, A. (2016). Social Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data. I S. Linker, & P. Rodgers (red.), Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016 (Bind 1655, s. 19-28). Aachen: CEUR. CEUR Workshop Proceedings, Bind. 1655
    Flesch, Benjamin ; Vatrapu, Ravi ; Mukkamala, Raghava Rao ; Hussain, Abid. / Social Set Visualizer (SoSeVi) II : Interactive Social Set Analysis of Big Data. Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016. red. / Sven Linker ; Peter Rodgers. Bind 1655 Aachen : CEUR, 2016. s. 19-28 (CEUR Workshop Proceedings, Bind 1655).
    @inproceedings{74a6f58d96864116a279497a94b0f93e,
    title = "Social Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data",
    abstract = "Current state-of-the-art in big social data analytics is largely limited to graph theoretical approaches such as social network analysis (SNA) informed by the social philosophical approach of relational sociology. This paper proposes and illustrates an alternate holistic approach to big social data analytics, social set analysis (SSA), which is based on the sociology of associations, mathematics of set theory, and advanced visual analytics of event studies. We first presented the SSA approach to a wider audience at IEEE Big Data 2015 [6], IEEE EDOCW 2015 [7], and IEEE EDOCW 2016 [8]. Since then we worked on improving SoSeVi in order to further demonstrate its usefulness in large-scale visual analytics tasks of individual and collective behavior of actors in social networks. The current iteration of the Social Set Visualizer (SoSeVi) builds upon some of the concepts laid out by the UpSet project [14] and aims to further improve the capabilities of researchers and practitioners in big social data analytics alike. We then illustrate our new approach by reporting on the design, development, and evaluation results of a state-of-theart visual analytics dashboard, the Social Set Visualizer (SoSeVi). The development of the dashboard involved cutting-edge open source visual analytics libraries (D3.js) and creation of new visualizations such as visualizations of actor mobility across time and space, conversational comets, and more. Evaluation of the dashboard consisted of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results. In conclusion, we discuss the new analytical approach of social set analysis and conclude with a discussion of the benefits of set theoretical approaches based on the social philosophical approach of associational sociology.",
    keywords = "Big data visual analytics, Big social data, Computational set analysis, Event studies, Social set analysis, Big data visual analytics, Big social data, Computational set analysis, Event studies, Social set analysis",
    author = "Benjamin Flesch and Ravi Vatrapu and Mukkamala, {Raghava Rao} and Abid Hussain",
    year = "2016",
    language = "English",
    volume = "1655",
    pages = "19--28",
    editor = "Sven Linker and Peter Rodgers",
    booktitle = "Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016",
    publisher = "CEUR",
    address = "Germany",

    }

    Flesch, B, Vatrapu, R, Mukkamala, RR & Hussain, A 2016, Social Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data. i S Linker & P Rodgers (red), Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016. bind 1655, CEUR, Aachen, CEUR Workshop Proceedings, bind 1655, s. 19-28, International Workshop on Set Visualization and Reasoning, Philadelphia, USA, 07/08/2016.

    Social Set Visualizer (SoSeVi) II : Interactive Social Set Analysis of Big Data. / Flesch, Benjamin; Vatrapu, Ravi; Mukkamala, Raghava Rao; Hussain, Abid.

    Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016. red. / Sven Linker; Peter Rodgers. Bind 1655 Aachen : CEUR, 2016. s. 19-28 (CEUR Workshop Proceedings, Bind 1655).

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

    TY - GEN

    T1 - Social Set Visualizer (SoSeVi) II

    T2 - Interactive Social Set Analysis of Big Data

    AU - Flesch, Benjamin

    AU - Vatrapu, Ravi

    AU - Mukkamala, Raghava Rao

    AU - Hussain, Abid

    PY - 2016

    Y1 - 2016

    N2 - Current state-of-the-art in big social data analytics is largely limited to graph theoretical approaches such as social network analysis (SNA) informed by the social philosophical approach of relational sociology. This paper proposes and illustrates an alternate holistic approach to big social data analytics, social set analysis (SSA), which is based on the sociology of associations, mathematics of set theory, and advanced visual analytics of event studies. We first presented the SSA approach to a wider audience at IEEE Big Data 2015 [6], IEEE EDOCW 2015 [7], and IEEE EDOCW 2016 [8]. Since then we worked on improving SoSeVi in order to further demonstrate its usefulness in large-scale visual analytics tasks of individual and collective behavior of actors in social networks. The current iteration of the Social Set Visualizer (SoSeVi) builds upon some of the concepts laid out by the UpSet project [14] and aims to further improve the capabilities of researchers and practitioners in big social data analytics alike. We then illustrate our new approach by reporting on the design, development, and evaluation results of a state-of-theart visual analytics dashboard, the Social Set Visualizer (SoSeVi). The development of the dashboard involved cutting-edge open source visual analytics libraries (D3.js) and creation of new visualizations such as visualizations of actor mobility across time and space, conversational comets, and more. Evaluation of the dashboard consisted of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results. In conclusion, we discuss the new analytical approach of social set analysis and conclude with a discussion of the benefits of set theoretical approaches based on the social philosophical approach of associational sociology.

    AB - Current state-of-the-art in big social data analytics is largely limited to graph theoretical approaches such as social network analysis (SNA) informed by the social philosophical approach of relational sociology. This paper proposes and illustrates an alternate holistic approach to big social data analytics, social set analysis (SSA), which is based on the sociology of associations, mathematics of set theory, and advanced visual analytics of event studies. We first presented the SSA approach to a wider audience at IEEE Big Data 2015 [6], IEEE EDOCW 2015 [7], and IEEE EDOCW 2016 [8]. Since then we worked on improving SoSeVi in order to further demonstrate its usefulness in large-scale visual analytics tasks of individual and collective behavior of actors in social networks. The current iteration of the Social Set Visualizer (SoSeVi) builds upon some of the concepts laid out by the UpSet project [14] and aims to further improve the capabilities of researchers and practitioners in big social data analytics alike. We then illustrate our new approach by reporting on the design, development, and evaluation results of a state-of-theart visual analytics dashboard, the Social Set Visualizer (SoSeVi). The development of the dashboard involved cutting-edge open source visual analytics libraries (D3.js) and creation of new visualizations such as visualizations of actor mobility across time and space, conversational comets, and more. Evaluation of the dashboard consisted of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results. In conclusion, we discuss the new analytical approach of social set analysis and conclude with a discussion of the benefits of set theoretical approaches based on the social philosophical approach of associational sociology.

    KW - Big data visual analytics

    KW - Big social data

    KW - Computational set analysis

    KW - Event studies

    KW - Social set analysis

    KW - Big data visual analytics

    KW - Big social data

    KW - Computational set analysis

    KW - Event studies

    KW - Social set analysis

    M3 - Article in proceedings

    VL - 1655

    SP - 19

    EP - 28

    BT - Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016

    A2 - Linker, Sven

    A2 - Rodgers, Peter

    PB - CEUR

    CY - Aachen

    ER -

    Flesch B, Vatrapu R, Mukkamala RR, Hussain A. Social Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data. I Linker S, Rodgers P, red., Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016. Bind 1655. Aachen: CEUR. 2016. s. 19-28. (CEUR Workshop Proceedings, Bind 1655).