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Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal

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Electronic Participation (ePart 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12849))

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Abstract

Open Access scholarly literature is scientific output free from economic barriers and copyright restrictions. Using a case study approach, data mining methods and qualitative analysis, the scholarly output and the meta-data of the Open Access eJournal of e-Democracy and Open Government during the time interval 2009–2020 was analysed. Our study was able to identify the most prominent research topics (defined as thematic clusters) of the journal, their evolution over time and how these were influenced by journal management factors. This kind of analysis helps editors to develop an editorial strategy, decide on the thematic development of the journal and address the expectations of future authors of the journal. It further can provide insights about research themes and trends within a scholarly community and their development over time.

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Author information

Authors and Affiliations

  1. Danube University Krems, Krems an der Donau, Austria

    Judith Schoßböck & Noella Edelmann

  2. Gdansk University of Technology, Gdańsk, Poland

    Nina Rizun

Authors
  1. Judith Schoßböck
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  2. Noella Edelmann
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  3. Nina Rizun
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Corresponding author

Correspondence to Noella Edelmann .

Editor information

Editors and Affiliations

  1. Danube University Krems, Krems, Austria

    Noella Edelmann

  2. Corvinus University of Budapest, Budapest, Hungary

    Csaba Csáki

  3. University of Agder, Kristiansand, Norway

    Sara Hofmann

  4. Danube University Krems, Krems, Austria

    Thomas J. Lampoltshammer

  5. University of Granada, Granada, Spain

    Laura Alcaide Muñoz

  6. Danube University Krems, Krems, Austria

    Peter Parycek

  7. University of Zurich, Zürich, Switzerland

    Gerhard Schwabe

  8. University of Macedonia, Thessaloniki, Greece

    Efthimios Tambouris

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Schoßböck, J., Edelmann, N., Rizun, N. (2021). Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal. In: Edelmann, N., et al. Electronic Participation. ePart 2021. Lecture Notes in Computer Science(), vol 12849. Springer, Cham. https://doi.org/10.1007/978-3-030-82824-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-82824-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82823-3

  • Online ISBN: 978-3-030-82824-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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