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

Heli  Aramo-Immonen; Hannu Karkkainen; Jari J.  Jussila; Sian Joel Edgar; Jukka Huhtamäki

doi:10.1016/j.chb.2015.09.043

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

Heli Aramo-Immonen
, Hannu Karkkainen
, Jari J. Jussila
, Sian Joel Edgar
, Jukka Huhtamäki

Aston Business School

Tampere University of Technology, Tampere Finland
Department of Business Administration, Marketing, School of Business, Örebro University
Smart services research unit, Häme University of Applied Sciences

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

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 language	English
Pages (from-to)	584-595
Journal	Computers in Human Behaviour
Volume	55
Issue number	Part A
Early online date	31 Oct 2015
DOIs	https://doi.org/10.1016/j.chb.2015.09.043
Publication status	Published - Feb 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Learning, Informal learning, Memory aids, Communities of practice, Social network analysis, Visual network analytics, Twitter

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10.1016/j.chb.2015.09.043

Cite this

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title = "Visualizing informal learning behavior from conference participants' Twitter data with the Ostinato Model",

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 {\textquoteleft}smart data{\textquoteright} 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.",

keywords = "Learning, Informal learning, Memory aids, Communities of practice, Social network analysis, Visual network analytics, Twitter",

author = "Heli Aramo-Immonen and Hannu Karkkainen and Jussila, \{Jari J.\} and \{Joel Edgar\}, Sian and Jukka Huhtam{\"a}ki",

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language = "English",

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AU - Aramo-Immonen, Heli

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AU - Jussila, Jari J.

AU - Joel Edgar, Sian

AU - Huhtamäki, Jukka

PY - 2016/2

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N2 - 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.

AB - 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.

KW - Learning, Informal learning, Memory aids, Communities of practice, Social network analysis, Visual network analytics, Twitter

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JO - Computers in Human Behaviour

JF - Computers in Human Behaviour

IS - Part A

ER -

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

Abstract

UN SDGs

Keywords

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