Experiments in Analysis of Industry—Academia Collaboration and Research Trends

poster / demo / art installation
Authorship
  1. 1. Daniil Skorinkin

    National Research Unversity Higher School of Economics

  2. 2. Irina Busurkina

    National Research Unversity Higher School of Economics

  3. 3. Oleg Serikov

    National Research Unversity Higher School of Economics

Work text
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The algorithm of research submission and publication is strict and highly formal. This produces lots of metadata accompanying research papers. The analysis of such datasets is not a mainstream research field nowadays. Yet such an analysis could help us better understand certain large-scale patterns of contemporary academic publishing, and maybe even the dynamics of science.The paper presents experiments in mix-method analysis of academic research papers and respective metadata. We investigate a corpus of abstracts and metadata for 31, 000+ papers from the arXiv.org e-prints archive. Our experiments reveal the properties of interinstitutional research and the collaboration of the industry and academy. We also do visualize and interpret the temporal properties of research trends.

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Conference Info

In review

ADHO - 2020
"carrefours / intersections"

Hosted at Carleton University, Université d'Ottawa (University of Ottawa)

Ottawa, Ontario, Canada

July 20, 2020 - July 25, 2020

475 works by 1078 authors indexed

Conference cancelled due to coronavirus. Online conference held at https://hcommons.org/groups/dh2020/. Data for this conference were initially prepared and cleaned by May Ning.

Conference website: https://dh2020.adho.org/

References: https://dh2020.adho.org/abstracts/

Series: ADHO (15)

Organizers: ADHO

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