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

    Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer review

    Resumé

    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.
    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.
    SprogEngelsk
    TitelAcademic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016
    Udgivelses stedNew York
    ForlagAssociation for Computing Machinery
    Dato2016
    Sider11-19
    ISBN (Trykt)9781450343671
    DOI
    StatusUdgivet - 2016
    Begivenhed20th Academic Mindtrek Conference 2016 - University of Tampere, Tampere, Finland
    Varighed: 17 okt. 201619 okt. 2016
    Konferencens nummer: 20
    http://www.mindtrek.org/2016/academic/

    Konference

    Konference20th Academic Mindtrek Conference 2016
    Nummer20
    LokationUniversity of Tampere
    LandFinland
    ByTampere
    Periode17/10/201619/10/2016
    Internetadresse

    Bibliografisk note

    CBS Bibliotek har ikke adgang til materialet

    Emneord

    • Weak ties
    • Tie strength
    • Structural hole
    • Event
    • Conference
    • Social media
    • Twitter
    • Facebook
    • Recommendation system

    Citer dette

    Prakash Gupta, J., Menon, K., Kärkkäinen, H., Huhtamäki, J., Mukkamala, R. R., Hussain, A., ... Pirkkalainen, H. (2016). Identifying Weak Ties from Publicly Available Social Media Data in an Event. I Academic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016 (s. 11-19). New York: Association for Computing Machinery. DOI: 10.1145/2994310.2994354
    Prakash Gupta, Jayesh ; Menon, Karan ; Kärkkäinen, Hannu ; Huhtamäki, Jukka ; Mukkamala, Raghava Rao ; Hussain, Abid ; Vatrapu, Ravi ; Jussila, Jari ; Pirkkalainen, Henri. / Identifying Weak Ties from Publicly Available Social Media Data in an Event. Academic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016. New York : Association for Computing Machinery, 2016. s. 11-19
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    abstract = "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.",
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    Prakash Gupta, J, Menon, K, Kärkkäinen, H, Huhtamäki, J, Mukkamala, RR, Hussain, A, Vatrapu, R, Jussila, J & Pirkkalainen, H 2016, Identifying Weak Ties from Publicly Available Social Media Data in an Event. i Academic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016. Association for Computing Machinery, New York, s. 11-19, 20th Academic Mindtrek Conference 2016, Tampere, Finland, 17/10/2016. DOI: 10.1145/2994310.2994354

    Identifying Weak Ties from Publicly Available Social Media Data in an Event. / Prakash Gupta, Jayesh; Menon, Karan; Kärkkäinen, Hannu ; Huhtamäki, Jukka; Mukkamala, Raghava Rao; Hussain, Abid; Vatrapu, Ravi; Jussila, Jari; Pirkkalainen, Henri.

    Academic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016. New York : Association for Computing Machinery, 2016. s. 11-19.

    Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer review

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    AU - Prakash Gupta,Jayesh

    AU - Menon,Karan

    AU - Kärkkäinen,Hannu

    AU - Huhtamäki,Jukka

    AU - Mukkamala,Raghava Rao

    AU - Hussain,Abid

    AU - Vatrapu,Ravi

    AU - Jussila,Jari

    AU - Pirkkalainen,Henri

    N1 - CBS Library does not have access to the material

    PY - 2016

    Y1 - 2016

    N2 - 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.

    AB - 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.

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    KW - Twitter

    KW - Facebook

    KW - Recommendation system

    KW - Weak ties

    KW - Tie strength

    KW - Structural hole

    KW - Event

    KW - Conference

    KW - Social media

    KW - Twitter

    KW - Facebook

    KW - Recommendation system

    U2 - 10.1145/2994310.2994354

    DO - 10.1145/2994310.2994354

    M3 - Article in proceedings

    SN - 9781450343671

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    PB - Association for Computing Machinery

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    ER -

    Prakash Gupta J, Menon K, Kärkkäinen H, Huhtamäki J, Mukkamala RR, Hussain A et al. Identifying Weak Ties from Publicly Available Social Media Data in an Event. I Academic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016. New York: Association for Computing Machinery. 2016. s. 11-19. Tilgængelig fra, DOI: 10.1145/2994310.2994354