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

Benjamin Flesch, Ravi Vatrapu

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

    Abstract

    This paper reports the second iteration of the Social Set Visualizer (SoSeVi), a set theoretical visual analytics dashboard of big social data. 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) in version II builds on recent advancements in visualizing set intersections. The development of the SoSeVi dashboard involved cutting-edge open source visual analytics libraries (D3.js) and creation of new visualizations such as of actor mobility across time and space, conversational comets, and more. SoSeVi II introduces means of real-time migration visualization between social sets.
    Original languageEnglish
    Title of host publication2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW 2016)
    EditorsStefanie Rinderle-Ma, Luis Ferreira Pires, Remco Dijkman
    Number of pages4
    Place of PublicationLos Alamitos, CA
    PublisherIEEE
    Publication date2016
    Pages332-335
    Article number7584388
    ISBN (Print)9781467399340
    ISBN (Electronic)9781467399333
    DOIs
    Publication statusPublished - 2016
    EventThe 20th IEEE International Enterprise Distributed Object Computing. EDOC 2016: Enabling Innovative Business Models in the Enterprise of the Future - Vienna , Austria
    Duration: 5 Sept 20169 Sept 2016
    Conference number: 20
    http://edoc2016.univie.ac.at/

    Conference

    ConferenceThe 20th IEEE International Enterprise Distributed Object Computing. EDOC 2016
    Number20
    Country/TerritoryAustria
    CityVienna
    Period05/09/201609/09/2016
    Internet address
    SeriesProceedings of the Enterprise Distributed Object Computing Conference Workshops. EDOCW
    Volume2016
    ISSN2325-6583

    Keywords

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

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