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Visualizing co-authorship networks for actionable insights: action design research experiment

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationProceedings of the 20th International Academic Mindtrek Conference
Place of PublicationNew York, NY, USA
Number of pages8
ISBN (Print)978-1-4503-4367-1
Publication statusPublished - 2016
Publication typeA4 Article in a conference publication
EventMindtrek Conference -
Duration: 1 Jan 1900 → …

Publication series

NameAcademicMindtrek '16


ConferenceMindtrek Conference
Period1/01/00 → …


Increasing interest has been expressed in lowering the barrier for research access. Several approaches exist, including more active communication on research, the use of social computing-oriented networking tools for researchers, parallel publishing of research publications, and the use of research management systems for collecting, managing, and publishing bibliographical data. In this paper, we target the first step of research access, namely the use of publication metadata available in current research information systems. More specifically, we will take an action design research approach to experiment how visual network analytics could be used to create additional value for bibliographical data. We will tap into the current research information system of a selected university to develop a prototype of a self-service co-authorship network visualization and engage with four researchers to identify the key requirements for taking such an approach and to explore the potential value that could be created with visual analytics of bibliographical data. We contribute a set of design guidelines to support the development of computational visual network analytics tools for research collaboration analyses using bibliographical data.


  • action design research, human-in-the-loop analytics, ostinato model, scientometrics, social network analysis, Visual network analytics

Publication forum classification

Field of science, Statistics Finland

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