Social Set Analysis: Four Demonstrative Case Studies

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

    Abstract

    This paper argues that the basic premise of Social Network Analysis (SNA) -- namely that social reality is constituted by dyadic relations and that social interactions are determined by structural properties of networks-- is neither necessary nor sufficient, for Big Social Data analytics of Facebook or Twitter data. However, there exist no other holistic computational social science approach beyond the relational sociology and graph theory of SNA. To address this limitation, this paper presents an alternative holistic approach to Big Social Data analytics called Social Set Analysis (SSA). Based on the sociology of associations and the mathematics of classical, fuzzy and rough set theories, this paper proposes a research program. The function of which is to design, develop and evaluate social set analytics in terms of fundamentally novel formal models, predictive methods and visual analytics tools for Big Social Data. Four demonstrative case studies, employing SSA, covering the range of descriptive, predictive, visual and prescriptive analytics are presented and briefly discussed.
    This paper argues that the basic premise of Social Network Analysis (SNA) -- namely that social reality is constituted by dyadic relations and that social interactions are determined by structural properties of networks-- is neither necessary nor sufficient, for Big Social Data analytics of Facebook or Twitter data. However, there exist no other holistic computational social science approach beyond the relational sociology and graph theory of SNA. To address this limitation, this paper presents an alternative holistic approach to Big Social Data analytics called Social Set Analysis (SSA). Based on the sociology of associations and the mathematics of classical, fuzzy and rough set theories, this paper proposes a research program. The function of which is to design, develop and evaluate social set analytics in terms of fundamentally novel formal models, predictive methods and visual analytics tools for Big Social Data. Four demonstrative case studies, employing SSA, covering the range of descriptive, predictive, visual and prescriptive analytics are presented and briefly discussed.
    LanguageEnglish
    Title of host publicationProceedings of the 2015 International Conference on Social Media & Society
    EditorsAnatoliy Gruzd, Jenna Jacobson, Philip Mai, Barry Wellman
    Number of pages8
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Date2015
    Article number3
    ISBN (Print)9781450339230
    DOIs
    StatePublished - 2015
    EventThe 6th International Conference on Social Media & Society. SMSociety 2015 - Toronto, Canada
    Duration: 27 Jul 201529 Jul 2015
    Conference number: 6
    http://smsociety15.sched.org/

    Conference

    ConferenceThe 6th International Conference on Social Media & Society. SMSociety 2015
    Number6
    CountryCanada
    CityToronto
    Period27/07/201529/07/2015
    Internet address

    Cite this

    Vatrapu, R., Hussain, A., Buus Lassen, N., Mukkamala, R. R., Flesch, B., & Madsen, R. (2015). Social Set Analysis: Four Demonstrative Case Studies. In A. Gruzd, J. Jacobson, P. Mai, & B. Wellman (Eds.), Proceedings of the 2015 International Conference on Social Media & Society [3] New York: Association for Computing Machinery. DOI: 10.1145/2789187.2789203
    Vatrapu, Ravi ; Hussain, Abid ; Buus Lassen, Niels ; Mukkamala, Raghava Rao ; Flesch, Benjamin ; Madsen, René. / Social Set Analysis : Four Demonstrative Case Studies. Proceedings of the 2015 International Conference on Social Media & Society. editor / Anatoliy Gruzd ; Jenna Jacobson ; Philip Mai ; Barry Wellman. New York : Association for Computing Machinery, 2015.
    @inproceedings{296833c007d143228ce08cf3c93a338f,
    title = "Social Set Analysis: Four Demonstrative Case Studies",
    abstract = "This paper argues that the basic premise of Social Network Analysis (SNA) -- namely that social reality is constituted by dyadic relations and that social interactions are determined by structural properties of networks-- is neither necessary nor sufficient, for Big Social Data analytics of Facebook or Twitter data. However, there exist no other holistic computational social science approach beyond the relational sociology and graph theory of SNA. To address this limitation, this paper presents an alternative holistic approach to Big Social Data analytics called Social Set Analysis (SSA). Based on the sociology of associations and the mathematics of classical, fuzzy and rough set theories, this paper proposes a research program. The function of which is to design, develop and evaluate social set analytics in terms of fundamentally novel formal models, predictive methods and visual analytics tools for Big Social Data. Four demonstrative case studies, employing SSA, covering the range of descriptive, predictive, visual and prescriptive analytics are presented and briefly discussed.",
    author = "Ravi Vatrapu and Abid Hussain and {Buus Lassen}, Niels and Mukkamala, {Raghava Rao} and Benjamin Flesch and Ren{\'e} Madsen",
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    Vatrapu, R, Hussain, A, Buus Lassen, N, Mukkamala, RR, Flesch, B & Madsen, R 2015, Social Set Analysis: Four Demonstrative Case Studies. in A Gruzd, J Jacobson, P Mai & B Wellman (eds), Proceedings of the 2015 International Conference on Social Media & Society., 3, Association for Computing Machinery, New York, Toronto, Canada, 27/07/2015. DOI: 10.1145/2789187.2789203

    Social Set Analysis : Four Demonstrative Case Studies. / Vatrapu, Ravi; Hussain, Abid; Buus Lassen, Niels; Mukkamala, Raghava Rao; Flesch, Benjamin; Madsen, René.

    Proceedings of the 2015 International Conference on Social Media & Society. ed. / Anatoliy Gruzd; Jenna Jacobson; Philip Mai; Barry Wellman. New York : Association for Computing Machinery, 2015. 3.

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

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    AU - Flesch,Benjamin

    AU - Madsen,René

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    N2 - This paper argues that the basic premise of Social Network Analysis (SNA) -- namely that social reality is constituted by dyadic relations and that social interactions are determined by structural properties of networks-- is neither necessary nor sufficient, for Big Social Data analytics of Facebook or Twitter data. However, there exist no other holistic computational social science approach beyond the relational sociology and graph theory of SNA. To address this limitation, this paper presents an alternative holistic approach to Big Social Data analytics called Social Set Analysis (SSA). Based on the sociology of associations and the mathematics of classical, fuzzy and rough set theories, this paper proposes a research program. The function of which is to design, develop and evaluate social set analytics in terms of fundamentally novel formal models, predictive methods and visual analytics tools for Big Social Data. Four demonstrative case studies, employing SSA, covering the range of descriptive, predictive, visual and prescriptive analytics are presented and briefly discussed.

    AB - This paper argues that the basic premise of Social Network Analysis (SNA) -- namely that social reality is constituted by dyadic relations and that social interactions are determined by structural properties of networks-- is neither necessary nor sufficient, for Big Social Data analytics of Facebook or Twitter data. However, there exist no other holistic computational social science approach beyond the relational sociology and graph theory of SNA. To address this limitation, this paper presents an alternative holistic approach to Big Social Data analytics called Social Set Analysis (SSA). Based on the sociology of associations and the mathematics of classical, fuzzy and rough set theories, this paper proposes a research program. The function of which is to design, develop and evaluate social set analytics in terms of fundamentally novel formal models, predictive methods and visual analytics tools for Big Social Data. Four demonstrative case studies, employing SSA, covering the range of descriptive, predictive, visual and prescriptive analytics are presented and briefly discussed.

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    Vatrapu R, Hussain A, Buus Lassen N, Mukkamala RR, Flesch B, Madsen R. Social Set Analysis: Four Demonstrative Case Studies. In Gruzd A, Jacobson J, Mai P, Wellman B, editors, Proceedings of the 2015 International Conference on Social Media & Society. New York: Association for Computing Machinery. 2015. 3. Available from, DOI: 10.1145/2789187.2789203