Social Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data

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

    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.
    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.
    LanguageEnglish
    Title of host publicationProceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016
    EditorsSven Linker, Peter Rodgers
    Place of PublicationAachen
    PublisherCEUR
    Date2016
    Pages19-28
    StatePublished - 2016
    EventInternational Workshop on Set Visualization and Reasoning - Chubb Hotel and Conference Center, Philadelphia, United States
    Duration: 7 Aug 20167 Aug 2016
    https://sites.google.com/site/setvr2kn/current-workshop

    Workshop

    WorkshopInternational Workshop on Set Visualization and Reasoning
    LocationChubb Hotel and Conference Center
    CountryUnited States
    CityPhiladelphia
    Period07/08/201607/08/2016
    Internet address
    SeriesCEUR Workshop Proceedings
    Volume1655
    ISSN1613-0073

    Keywords

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

    Cite this

    Flesch, B., Vatrapu, R., Mukkamala, R. R., & Hussain, A. (2016). Social Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data. In S. Linker, & P. Rodgers (Eds.), Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016 (pp. 19-28). Aachen: CEUR. CEUR Workshop Proceedings, Vol.. 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. editor / Sven Linker ; Peter Rodgers. Aachen : CEUR, 2016. pp. 19-28 (CEUR Workshop Proceedings, ???volume??? 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",
    pages = "19--28",
    editor = "Sven Linker and Peter Rodgers",
    booktitle = "Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016",
    publisher = "CEUR",
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    }

    Flesch, B, Vatrapu, R, Mukkamala, RR & Hussain, A 2016, Social Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data. in S Linker & P Rodgers (eds), Proceedings of the International Workshop on Set Visualization and Reasoning, SetVR 2016. CEUR, Aachen, CEUR Workshop Proceedings, vol. 1655, pp. 19-28, Philadelphia, United States, 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. ed. / Sven Linker; Peter Rodgers. Aachen : CEUR, 2016. p. 19-28.

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

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    AU - Hussain,Abid

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    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

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

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