Identifying weak ties from publicly available social media data in an event

Jayesh Prakash Gupta, Karan Menon, Hannu Kärkkäinen, Jukka Huhtamäki, Raghava Rao Mukkamala, Abid Hussain, Ravi Vatrapu, Jari Jussila, Henri Pirkkalainen

    Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

    3 Sitaatiot (Scopus)

    Abstrakti

    The concept of weak ties was introduced by Granovetter through the seminal paper titled "Strength of weak ties". Since then the role of weak ties in general and their specific role as occupying the structural hole has been explored in many different fields. In this study, we identify actual or potential weak ties using publicly available social media data in the context of an event. Our case study environment is community managers' online discussions in social media in connection to the yearly-organized Community Manager Appreciation Day (CMAD 2016) event in Finland. We were able to identify potential weak ties using the conversation based structural holes, making use of social network analysis methods (like clustering) and content analysis in the context of events. We add to the understanding of and useful data sources for the Strength of weak ties theory originated from Granovetter, and developed further by other researchers. Our approach may be used in future to make more sophisticated conference recommendation systems, and significantly automate the data extraction for making useful contact recommendations from them for conference participants.
    AlkuperäiskieliEnglanti
    OtsikkoAcademicMindtrek '16 Proceedings of the 20th International Academic Mindtrek Conference
    KustantajaACM
    Sivut11-19
    Sivumäärä9
    ISBN (elektroninen)978-1-4503-4367-1
    DOI - pysyväislinkit
    TilaJulkaistu - 17 lokak. 2016
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
    TapahtumaMINDTREK CONFERENCE -
    Kesto: 1 tammik. 1900 → …

    Conference

    ConferenceMINDTREK CONFERENCE
    Ajanjakso1/01/00 → …

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Sociology and Political Science

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