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

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

    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.
    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.
    LanguageEnglish
    Title of host publicationAcademic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Date2016
    Pages11-19
    ISBN (Print)9781450343671
    DOIs
    StatePublished - 2016
    Event20th Academic Mindtrek Conference 2016 - University of Tampere, Tampere, Finland
    Duration: 17 Oct 201619 Oct 2016
    Conference number: 20
    http://www.mindtrek.org/2016/academic/

    Conference

    Conference20th Academic Mindtrek Conference 2016
    Number20
    LocationUniversity of Tampere
    CountryFinland
    CityTampere
    Period17/10/201619/10/2016
    Internet address

    Bibliographical note

    CBS Library does not have access to the material

    Keywords

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

    Cite this

    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. In Academic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016 (pp. 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. pp. 11-19
    @inproceedings{c9753ac5e08a43b69abecd82d8709638,
    title = "Identifying Weak Ties from Publicly Available Social Media Data in an Event",
    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.",
    keywords = "Weak ties, Tie strength, Structural hole, Event, Conference, Social media, Twitter, Facebook, Recommendation system, Weak ties, Tie strength, Structural hole, Event, Conference, Social media, Twitter, Facebook, Recommendation system",
    author = "{Prakash Gupta}, Jayesh and Karan Menon and Hannu K{\"a}rkk{\"a}inen and Jukka Huhtam{\"a}ki and Mukkamala, {Raghava Rao} and Abid Hussain and Ravi Vatrapu and Jari Jussila and Henri Pirkkalainen",
    note = "CBS Library does not have access to the material",
    year = "2016",
    doi = "10.1145/2994310.2994354",
    language = "English",
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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. in Academic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016. Association for Computing Machinery, New York, pp. 11-19, 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. p. 11-19.

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

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    AU - Menon,Karan

    AU - Kärkkäinen,Hannu

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    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 - Recommendation system

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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. In Academic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016. New York: Association for Computing Machinery. 2016. p. 11-19. Available from, DOI: 10.1145/2994310.2994354