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Visualizing informal learning behavior from conference participants' Twitter data with the Ostinato Model
Tampere University of Technology, Pori, Finland.ORCID-id: 0000-0001-6324-5425
Tampere University of Technology, Tampere, Finland.ORCID-id: 0000-0003-4753-4416
Tampere University of Technology, Tampere, Finland.ORCID-id: 0000-0002-7337-1211
Computer Science, Bath University, Bath, UK.
Vise andre og tillknytning
2016 (engelsk)Inngår i: Computers in human behavior, ISSN 0747-5632, E-ISSN 1873-7692, Vol. 55, s. 584-595Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Elsevier, 2016. Vol. 55, s. 584-595
Emneord [en]
Learning, Informal learning, Memory aids, Communities of practice, Social network analysis, Visual network analytics, Twitter
HSV kategori
Identifikatorer
URN: urn:nbn:se:oru:diva-62588DOI: 10.1016/j.chb.2015.09.043ISI: 000367755400060Scopus ID: 2-s2.0-84953237242OAI: oai:DiVA.org:oru-62588DiVA, id: diva2:1157430
Tilgjengelig fra: 2017-11-16 Laget: 2017-11-16 Sist oppdatert: 2018-07-24bibliografisk kontrollert

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Aramo-Immonen, HeliKärkkäinen, HannuJussila, Jari J.Huhtamäki, Jukka
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