Visualizing and analyzing the evolution of authorship and co-authorship networks of articles from the Brazilian symposium on human factors in computing systems
Resumo
In Brazil, the Brazilian Symposium on Human Factors in Computing Systems (IHC) has brought together researchers interested in the area of Human-Computer Interaction since 1998, and is currently considered the main Brazilian event in the area. Over the course of twenty editions, the IHC has received works by authors from different parts of the world who, over the years, have been building their own co-authorship relationships with the other authors of the Symposium. This work sought to analyze, with the help of different visualizations, the IHC from the perspective of those who helped in the consolidation of the event and in the expansion of the area in the Brazilian scenario, i.e., its authors. In total, 1,389 authors were considered in the analysis. Issues related to the genre and production of these authors, over the years, in the different tracks of articles of the IHC, were considered. In addition, the work analyzed the co-authorship networks of the event tracks and how they evolved over the editions.
Palavras-chave:
IHC, authors, co-authorship networks
Referências
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Ling-Li Li, Guohua Ding, Nan Feng, Ming-Huang Wang, and Yuh-Shan Ho. 2009. Global stem cell research trend: Bibliometric analysis as a tool for mapping of trends from 1991 to 2006. Scientometrics 80, 1 (2009), 39--58.
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Rafael Ratto de Moraes, Laura Lourenço Morel, Marcos Britto Correa, and Giana da Silveira Lima. 2020. A bibliometric analysis of articles published in Brazilian dental journal over 30 years. Brazilian dental journal 31 (2020), 10--18.
Beatriz Saburido Racca, Juliana Baptista dos Santos França, Bruna Diir, and Vaninha Vieira dos Santos. 2021. Análise das Redes de Colaboração Científica no Simpósio Brasileiro de Sistemas Colaborativos. In Anais Estendidos do XVII Simpósio Brasileiro de Sistemas Colaborativos. SBC, 78--84.
MK Vijaymeena and K Kavitha. 2016. A survey on similarity measures in text mining. Machine Learning and Applications: An International Journal 3, 2 (2016), 19--28.
Guilherme M Zanghelini, Henrique RA de Souza Junior, Luiz Kulay, Edivan Cherubini, Paulo T Ribeiro, and Sebastião R Soares. 2016. A bibliometric overview of Brazilian LCA research. The International Journal of Life Cycle Assessment 21, 12 (2016), 1759--1775.
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, 1 (2017), 275--300.
Mathieu Bastian, Sebastien Heymann, and Mathieu Jacomy. 2009. Gephi: an open source software for exploring and manipulating networks. In Proceedings of the international AAAI conference on web and social media, Vol. 3. 361--362.
Pietro Cipresso, Irene Alice Chicchi Giglioli, Mariano Alcañiz Raya, and Giuseppe Riva. 2018. The past, present, and future of virtual and augmented reality research: a network and cluster analysis of the literature. Frontiers in psychology (2018), 2086.
Franklin Matheus da Costa 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.
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.
José de Souza Oliveira Filho. 2020. A bibliometric analysis of soil research in Brazil 1989--2018. Geoderma Regional 23 (2020), e00345.
Agatha Santos do Nascimento, Felipe Sales de Oliveira, and M Lucia Bianconi. 2019. Bibliometric analysis of the brazilian periodical journal of biochemistry education. Biochemistry and Molecular Biology Education 47, 3 (2019), 249--256.
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.
Naveen Donthu, Satish Kumar, and Debidutta Pattnaik. 2020. Forty-five years of journal of business research: a bibliometric analysis. Journal of Business Research 109 (2020), 1--14.
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.
Aric Hagberg, Pieter Swart, and Daniel S Chult. 2008. Exploring network structure, dynamics, and function using NetworkX. Technical Report. Los Alamos National Lab.(LANL), Los Alamos, NM (United States).
Akinori Higaki, Teruyoshi Uetani, Shuntaro Ikeda, and Osamu Yamaguchi. 2020. Co-authorship network analysis in cardiovascular research utilizing machine learning (2009--2019). International Journal of Medical Informatics 143 (2020), 104274.
M Reza Hosseini, Igor Martek, Edmundas Kazimieras Zavadskas, Ajibade A Aibinu, Mehrdad Arashpour, and Nicholas Chileshe. 2018. Critical evaluation of off-site construction research: A Scientometric analysis. Automation in Construction 87 (2018), 235--247.
Anastasia A Korepanova, Valerii D Oliseenko, and Maxim V Abramov. 2020. Applicability of similarity coefficients in social circle matching. In 2020 XXIII International Conference on Soft Computing and Measurements (SCM). IEEE, 41--43.
Mehmet Ali Köseoglu, Fevzi Okumus, Eka Diraksa Putra, Mehmet Yildiz, and Ismail Cagri Dogan. 2018. Authorship trends, collaboration patterns, and co-authorship networks in lodging studies (1990--2016). Journal of Hospitality Marketing & Management 27, 5 (2018), 561--582.
Ling-Li Li, Guohua Ding, Nan Feng, Ming-Huang Wang, and Yuh-Shan Ho. 2009. Global stem cell research trend: Bibliometric analysis as a tool for mapping of trends from 1991 to 2006. Scientometrics 80, 1 (2009), 39--58.
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.
Franklin M da C Lima, Gabriel AM 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.
Roland Molontay and Marcell Nagy. 2021. Twenty years of network science: A bibliographic and co-authorship network analysis. In Big data and social media analytics. Springer, 1--24.
Rafael Ratto de Moraes, Laura Lourenço Morel, Marcos Britto Correa, and Giana da Silveira Lima. 2020. A bibliometric analysis of articles published in Brazilian dental journal over 30 years. Brazilian dental journal 31 (2020), 10--18.
Beatriz Saburido Racca, Juliana Baptista dos Santos França, Bruna Diir, and Vaninha Vieira dos Santos. 2021. Análise das Redes de Colaboração Científica no Simpósio Brasileiro de Sistemas Colaborativos. In Anais Estendidos do XVII Simpósio Brasileiro de Sistemas Colaborativos. SBC, 78--84.
MK Vijaymeena and K Kavitha. 2016. A survey on similarity measures in text mining. Machine Learning and Applications: An International Journal 3, 2 (2016), 19--28.
Guilherme M Zanghelini, Henrique RA de Souza Junior, Luiz Kulay, Edivan Cherubini, Paulo T Ribeiro, and Sebastião R Soares. 2016. A bibliometric overview of Brazilian LCA research. The International Journal of Life Cycle Assessment 21, 12 (2016), 1759--1775.
Publicado
17/10/2022
Como Citar
LIMA, Franklin M. da C.; DE MIRANDA, Leonardo Cunha; BARANAUSKAS, M. Cecília C..
Visualizing and analyzing the evolution of authorship and co-authorship networks of articles from the Brazilian symposium on human factors in computing systems. In: SIMPÓSIO BRASILEIRO SOBRE FATORES HUMANOS EM SISTEMAS COMPUTACIONAIS (IHC), 21. , 2022, Diamantina.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
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