Beyond Boundaries: Collaboration Networks and Research Output in Brazilian Computer Science
Resumo
This paper examines collaborative dynamics within Brazilian computer science research through network analysis and bibliometric methods. Although Brazil demonstrates a high level of publication output, its collaboration reveal certain limitations, which may explain the comparatively low citation impact of its research. Therefore, we use network analysis to address two key questions: (1) to what extent do Brazilian subfields engage in collaborations with researchers and institutions internationally, and (2) how do collaboration levels vary among the different subareas of Brazilian Computer Science research? Our results demonstrate varied collaboration patterns across computer science subfields: theoretical areas favor international partnerships, while applied areas prefer domestic collaborations. We identified few “bridge” researchers as key structural elements in high-impact networks. We also mapped these networks and demonstrated the link between strategic international partnerships and research impact, offering insights for improving collaborations and evaluation policies.Referências
Barabási, A., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., and Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and its Applications, 311(3):590–614.
Bird, C., Devanbu, P., Barr, E., Filkov, V., Nash, A., and Su, Z. (2009). Structure and Dynamics of Research Collaboration in Computer Science, pages 826–837. Society for Industrial and Applied Mathematics.
Biryukov, M. and Dong, C. (2010). Analysis of computer science communities based on dblp. In Lalmas, M., Jose, J., Rauber, A., Sebastiani, F., and Frommholz, I., editors, Research and Advanced Technology for Digital Libraries, pages 228–235, Berlin, Heidelberg. Springer Berlin Heidelberg.
Chakraborty, T. (2018). Role of interdisciplinarity in computer sciences: quantification, impact and life trajectory. Scientometrics, 114:1011–1029.
Culbert, J., Hobert, A., Jahn, N., Haupka, N., Schmidt, M., Donner, P., and Mayr, P. (2024). Reference coverage analysis of openalex compared to web of science and scopus.
Delgado-Garcia, J. F., Laender, A. H., and Meira, W. (2014). Analyzing the coauthorship networks of latin american computer science research groups. In 2014 9th Latin American Web Congress, pages 77–81.
Druszcz, F. and Vignatti, A. (2024). Citation analysis disparity between sub-areas of brazilian computer science. In Anais do XIII Brazilian Workshop on Social Network Analysis and Mining, pages 24–34, Porto Alegre, RS, Brasil. SBC.
Elmacioglu, E. and Lee, D. (2005). On six degrees of separation in dblp-db and more. SIGMOD Rec., 34(2):33–40.
Franceschet, M. (2011). Collaboration in computer science: A network science approach. Journal of the American Society for Information Science and Technology, 62(10):1992–2012.
Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3):215–239.
Guan, J. and Ma, N. (2004). A comparative study of research performance in computer science. Scientometrics, 61(3):339–359.
Haunschild, R. and Bornmann, L. (2024). The use of openalex to produce meaningful bibliometric global overlay maps of science on the individual, institutional, and national levels. PLOS ONE, 19(12):1–19.
Luukkonen, T., Tijssen, R. J. W., Persson, O., and Sivertsen, G. (1993). The measurement of international scientific collaboration. Scientometrics, 28(1):15–36.
Madaan, G. and Jolad, S. (2014). Evolution of scientific collaboration networks. In 2014 IEEE International Conference on Big Data (Big Data), pages 7–13.
Newman, M. E. J. (2001a). Scientific collaboration networks. i. network construction and fundamental results. Phys. Rev. E, 64:016131.
Newman, M. E. J. (2001b). Scientific collaboration networks. ii. shortest paths, weighted networks, and centrality. Phys. Rev. E, 64:016132.
Newman, M. E. J. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences, 101(suppl 1):5200–5205.
Niu, F. and Qiu, J. (2014). Network structure, distribution and the growth of chinese international research collaboration. Scientometrics, 98(2):1221–1233.
Okamura, K. (2023). A half-century of global collaboration in science and the “shrinking world”. Quantitative Science Studies, 4(4):938–959.
Pessoa Junior, G. J., M. R. Dias, T., H. P. Silva, T., and H. F. Laender, A. (2022). A geographic analysis of the interdisciplinary collaborations in the brazilian scientific community. Journal of the Brazilian Computer Society, 28(1):1–12.
Priem, J., Piwowar, H., and Orr, R. (2022). Openalex: A fully-open index of scholarly works, authors, venues, institutions, and concepts.
Ramos, M. Y. (2017). Internacionalização da pós-graduação no brasil: lógica e mecanismos1. Educação e pesquisa, 44.
Velez-Estevez, A., Perez, I., García-Sánchez, P., Moral-Munoz, J., and Cobo, M. (2023). New trends in bibliometric apis: A comparative analysis. Information Processing & Management, 60(4):103385.
Wainer, J., Xavier, E. C., and Bezerra, F. (2009). Scientific production in computer science: A comparative study of brazil and other countries. Scientometrics, 81(2):535–547.
Bird, C., Devanbu, P., Barr, E., Filkov, V., Nash, A., and Su, Z. (2009). Structure and Dynamics of Research Collaboration in Computer Science, pages 826–837. Society for Industrial and Applied Mathematics.
Biryukov, M. and Dong, C. (2010). Analysis of computer science communities based on dblp. In Lalmas, M., Jose, J., Rauber, A., Sebastiani, F., and Frommholz, I., editors, Research and Advanced Technology for Digital Libraries, pages 228–235, Berlin, Heidelberg. Springer Berlin Heidelberg.
Chakraborty, T. (2018). Role of interdisciplinarity in computer sciences: quantification, impact and life trajectory. Scientometrics, 114:1011–1029.
Culbert, J., Hobert, A., Jahn, N., Haupka, N., Schmidt, M., Donner, P., and Mayr, P. (2024). Reference coverage analysis of openalex compared to web of science and scopus.
Delgado-Garcia, J. F., Laender, A. H., and Meira, W. (2014). Analyzing the coauthorship networks of latin american computer science research groups. In 2014 9th Latin American Web Congress, pages 77–81.
Druszcz, F. and Vignatti, A. (2024). Citation analysis disparity between sub-areas of brazilian computer science. In Anais do XIII Brazilian Workshop on Social Network Analysis and Mining, pages 24–34, Porto Alegre, RS, Brasil. SBC.
Elmacioglu, E. and Lee, D. (2005). On six degrees of separation in dblp-db and more. SIGMOD Rec., 34(2):33–40.
Franceschet, M. (2011). Collaboration in computer science: A network science approach. Journal of the American Society for Information Science and Technology, 62(10):1992–2012.
Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3):215–239.
Guan, J. and Ma, N. (2004). A comparative study of research performance in computer science. Scientometrics, 61(3):339–359.
Haunschild, R. and Bornmann, L. (2024). The use of openalex to produce meaningful bibliometric global overlay maps of science on the individual, institutional, and national levels. PLOS ONE, 19(12):1–19.
Luukkonen, T., Tijssen, R. J. W., Persson, O., and Sivertsen, G. (1993). The measurement of international scientific collaboration. Scientometrics, 28(1):15–36.
Madaan, G. and Jolad, S. (2014). Evolution of scientific collaboration networks. In 2014 IEEE International Conference on Big Data (Big Data), pages 7–13.
Newman, M. E. J. (2001a). Scientific collaboration networks. i. network construction and fundamental results. Phys. Rev. E, 64:016131.
Newman, M. E. J. (2001b). Scientific collaboration networks. ii. shortest paths, weighted networks, and centrality. Phys. Rev. E, 64:016132.
Newman, M. E. J. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences, 101(suppl 1):5200–5205.
Niu, F. and Qiu, J. (2014). Network structure, distribution and the growth of chinese international research collaboration. Scientometrics, 98(2):1221–1233.
Okamura, K. (2023). A half-century of global collaboration in science and the “shrinking world”. Quantitative Science Studies, 4(4):938–959.
Pessoa Junior, G. J., M. R. Dias, T., H. P. Silva, T., and H. F. Laender, A. (2022). A geographic analysis of the interdisciplinary collaborations in the brazilian scientific community. Journal of the Brazilian Computer Society, 28(1):1–12.
Priem, J., Piwowar, H., and Orr, R. (2022). Openalex: A fully-open index of scholarly works, authors, venues, institutions, and concepts.
Ramos, M. Y. (2017). Internacionalização da pós-graduação no brasil: lógica e mecanismos1. Educação e pesquisa, 44.
Velez-Estevez, A., Perez, I., García-Sánchez, P., Moral-Munoz, J., and Cobo, M. (2023). New trends in bibliometric apis: A comparative analysis. Information Processing & Management, 60(4):103385.
Wainer, J., Xavier, E. C., and Bezerra, F. (2009). Scientific production in computer science: A comparative study of brazil and other countries. Scientometrics, 81(2):535–547.
Publicado
20/07/2025
Como Citar
MIOTO, Vinícius; VIGNATTI, André Luís.
Beyond Boundaries: Collaboration Networks and Research Output in Brazilian Computer Science. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 14. , 2025, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 40-53.
ISSN 2595-6094.
DOI: https://doi.org/10.5753/brasnam.2025.8329.
