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

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...

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Bibliographic Details
Published in:Computers in human behavior 2016-02, Vol.55, p.584-595
Main Authors: Aramo-Immonen, Heli, Kärkkäinen, Hannu, Jussila, Jari J., Joel-Edgar, Sian, Huhtamäki, Jukka
Format: Article
Language:English
Subjects:
Communities of practice
Informal learning
Learning
Memory aids
Social network analysis
Twitter
Visual network analytics
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Summary: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. •Visual analysis of Twitter data.•Informal learning via Twitter.•SNA from Twitter data.•Ostinato Model description.
ISSN:0747-5632
1873-7692
1873-7692
DOI:10.1016/j.chb.2015.09.043