Social Set Analysis: Four Demonstrative Case Studies

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


    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.
    Original languageEnglish
    Title of host publicationProceedings of the 2015 International Conference on Social Media & Society : SMSociety '15
    EditorsAnatoliy Gruzd, Jenna Jacobson, Philip Mai, Barry Wellman
    Number of pages8
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Publication date2015
    Article number3
    ISBN (Print)9781450339230
    ISBN (Electronic)9781450339230
    Publication statusPublished - 2015
    EventThe 6th International Conference on Social Media & Society. SMSociety 2015 - Toronto, Canada
    Duration: 27 Jul 201529 Jul 2015
    Conference number: 6


    ConferenceThe 6th International Conference on Social Media & Society. SMSociety 2015
    Internet address
    SeriesACM International Conference Proceeding Series

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