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

Aramo-Immonen, Heli,1964-Tampere University of Technology, Pori, Finland (författare)

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.

Kärkkäinen, HannuTampere University of Technology, Tampere, Finland (författare)
Jussila, Jari J.Tampere University of Technology, Tampere, Finland (författare)
Joel-Edgar, SianComputer Science, Bath University, Bath, UK (författare)
Huhtamäki, JukkaTampere University of Technology, Tampere, Finland (författare)
Tampere University of Technology, Pori, FinlandTampere University of Technology, Tampere, Finland (creator_code:org_t)

Av författaren/redakt...: Aramo-Immonen, H ...; Kärkkäinen, Hann ...; Jussila, Jari J.; Joel-Edgar, Sian; Huhtamäki, Jukka

Om ämnet

SAMHÄLLSVETENSKAP: SAMHÄLLSVETENSKA ...; och Medie och kommun ...; och Systemvetenskap ...

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.