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Honorable Mention

An Analysis of Authorship and Co-authorship Networks in the Papers of Two Relevant Events in the Brazilian Computing Scenario

Published:24 January 2024Publication History

ABSTRACT

This work presents the results obtained by an undergraduate student who, throughout their studies, conducted research at the Brazilian Symposium on Human Factors in Computing Systems (IHC), the main national conference in the Human-Computer Interaction field, where bibliometric techniques were applied to investigate this conference scientifically. During the research, a series of studies on IHC were developed, ultimately serving as the foundation for the undergraduate thesis, which analyzed two relevant events in the Brazilian Computing scenario, namely, the IHC itself and the Workshop on Requirements Engineering (WER). The research presented in this work brings several contributions about the achieved results for the two analyzed communities, but especially for the IHC, which was the central point of the research. The methodological contribution of this work is also worth mentioning, as it was the final research challenge. At this stage, the methods of the studies developed for IHC were adapted and applied in the context of WER, demonstrating, therefore, that the methodological foundation built over the years is robust and flexible enough to be used and adapted by other researchers in different contexts.

References

  1. Simone Diniz Junqueira Barbosa, Milene Selbach Silveira, and Isabela Gasparini. 2017. What publications metadata tell us about the evolution of a scientific community: the case of the Brazilian human–computer interaction conference series. Scientometrics 110 (2017), 275–300.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Samuel Bastos Buchdid and M Cecília C Baranauskas. 2012. IHC em contexto: o que as palavras relevam sobre ela. In Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems. 199–208.Google ScholarGoogle Scholar
  3. Franklin M da C Lima, Leonardo Cunha de Miranda, and M Cecília C. Baranauskas. 2018. Two HCI Communities in Perspective: Revealing and Contrasting Trends. In Proceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems. 1–10.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Neusa Dias de Macedo. 1995. Iniciação à pesquisa bibliográfica. Edições Loyola.Google ScholarGoogle Scholar
  5. Felipe Ciacia de Mendonça, Isabela Gasparini, Rebeca Schroeder, Milene Selbach Silveira, and Simone Diniz Junqueira Barbosa. 2018. Scientific collaboration networks of the academic brazilian community of hci. In Proceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems. 1–11.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Vasant Dhar. 2013. Data science and prediction. Commun. ACM 56, 12 (2013), 64–73.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Naveen Donthu, Satish Kumar, Debmalya Mukherjee, Nitesh Pandey, and Weng Marc Lim. 2021. How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research 133 (2021), 285–296.Google ScholarGoogle ScholarCross RefCross Ref
  8. Usama M Fayyad, Georges G Grinstein, and Andreas Wierse. 2002. Information visualization in data mining and knowledge discovery. Morgan Kaufmann.Google ScholarGoogle Scholar
  9. Isabela Gasparini, Lucas F da Cunha, Marcos H Kimura, and Marcelo S Pimenta. 2014. Análise das redes de coautoria do simpósio brasileiro sobre fatores humanos em sistemas computacionais. In Proceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems. 323–332.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Franklin M da C Lima, Leonardo Cunha de Miranda, and M Cecília C Baranauskas. 2022. Visualizing and analyzing the evolution of authorship and co-authorship networks of articles from the Brazilian symposium on human factors in computing systems. In Proceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems. 1–11.Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Franklin M da C Lima, Leonardo Cunha de Miranda, Gabriel Vasiljevic, and M Cecília C Baranauskas. 2019. An intra and inter-conferences correlation analysis of the field of HCI: revealing new trends from the international and brazilian communities. In Proceedings of the 18th Brazilian Symposium on Human Factors in Computing Systems. 1–11.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Franklin M da C Lima, Gabriel A M Vasiljevic, Leonardo Cunha de Miranda, and M Cecília C Baranauskas. 2021. An analysis of IHC and HCII publication titles: revealing and comparing the topics of interest of their communities. Journal on Interactive Systems 12, 1 (2021), 1–20.Google ScholarGoogle ScholarCross RefCross Ref
  13. Debmalya Mukherjee, Weng Marc Lim, Satish Kumar, and Naveen Donthu. 2022. Guidelines for advancing theory and practice through bibliometric research. Journal of Business Research 148 (2022), 101–115.Google ScholarGoogle ScholarCross RefCross Ref
  14. Luciana Pizzani, Rosemary Cristina da Silva, Suzelei Faria Bello, and Maria Cristina Piumbato Innocentini Hayashi. 2012. A arte da pesquisa bibliográfica na busca do conhecimento. RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação 10, 2 (2012), 53–66.Google ScholarGoogle Scholar

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    • Published in

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      IHC '23: Proceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems
      October 2023
      791 pages
      ISBN:9798400717154
      DOI:10.1145/3638067

      Copyright © 2023 ACM

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      Publication History

      • Published: 24 January 2024

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