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

Benjamin Flesch, Ravi Vatrapu

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer 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.
    OriginalsprogEngelsk
    Titel2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW 2016)
    RedaktørerStefanie Rinderle-Ma, Luis Ferreira Pires, Remco Dijkman
    Antal sider4
    UdgivelsesstedLos Alamitos, CA
    ForlagIEEE
    Publikationsdato2016
    Sider332-335
    Artikelnummer7584388
    ISBN (Trykt)9781467399340
    ISBN (Elektronisk)9781467399333
    DOI
    StatusUdgivet - 2016
    BegivenhedThe 20th IEEE International Enterprise Distributed Object Computing. EDOC 2016: Enabling Innovative Business Models in the Enterprise of the Future - Vienna , Østrig
    Varighed: 5 sep. 20169 sep. 2016
    Konferencens nummer: 20
    http://edoc2016.univie.ac.at/

    Konference

    KonferenceThe 20th IEEE International Enterprise Distributed Object Computing. EDOC 2016
    Nummer20
    Land/OmrådeØstrig
    ByVienna
    Periode05/09/201609/09/2016
    Internetadresse
    NavnProceedings of the Enterprise Distributed Object Computing Conference Workshops. EDOCW
    Vol/bind2016
    ISSN2325-6583

    Emneord

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

    Citationsformater