Visualizing informal learning behavior from conference participants' Twitter data with the Ostinato Model

Heli Aramo-Immonen, Hannu Kärkkäinen, Jari Jussila, Sian Joel-Edgar, Jukka Huhtamäki

    Research output: Contribution to journalArticleScientificpeer-review

    11 Citations (Scopus)
    55 Downloads (Pure)

    Abstract

    Network analysis is a valuable method for investigating and mapping the phenomena driving the social structure and sharing the findings with others. This article contributes to an emerging field of ‘smart data’ research on Twitter by presenting a case study of how community managers in Finland used this social media platform to construct an informal learning environment around an annually organized conference. In this empirical study we explore informal learning behavior in the project context, especially by analyzing and visualizing informal learning behavior from Twitter data using the Ostinato Model introduced in this paper. Ostinato is an iterative, user-centric, process-automated model for data-driven visual network analytics.
    Original languageEnglish
    Pages (from-to)584-595
    Number of pages12
    JournalComputers in Human Behavior
    Volume55A
    DOIs
    Publication statusPublished - Feb 2016
    Publication typeA1 Journal article-refereed

    Keywords

    • learning
    • informal learning
    • memory aids
    • Communities of Practice
    • Social network analysis
    • Visual network analysis
    • Twitter

    Publication forum classification

    • Publication forum level 2

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