Spatial Structure of National and International Scientific Collaboration in the Brazilian Cerrado Research
DOI:
https://doi.org/10.21664/2238-8869.2022v11i2.p83-95Keywords:
collaboration networks, correlograms, co-authorship, spatial scientometricsAbstract
The number of authors in papers has increased over the years, indicating collaborative trends in Science and Technology. Besides, scientific collaboration is structured at different spatial scales, for example, within or between institutions in the same country or among countries. Here, we evaluate the scientific collaboration patterns at national and international levels in the Cerrado research. We searched all papers about the Cerrado published between 1945 and 2017 in the Web of Science database. We performed network analyses using pairwise distance matrices to create national and international collaboration networks. We also used spatial correlograms to test the effect of geographic distance on scientific collaboration. The number of papers increased over the years (rs = 0.96), where papers with 3-5 authors had the highest growth rate (rs = 0.96). Moreover, authors from geographically closer institutions tend to collaborate more at the national level, while we found no geographic effect on international collaboration. These results show that Brazilian scientists studying the Cerrado have collaborated more over the years regardless of distance, although locally, scientists are still more likely to work with scientists of close institutions within the biome. This collaboration tendency may be associated with the need in science to deal with more complex and multidisciplinary issues, where collaborative studies promote a greater scientific and social impact.
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de Souza CG, Ferreira MLA 2013. Researchers profile, co-authorship pattern and knowledge organization in information science in Brazil. Scientometrics 95(2):673–687.
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Andrade JB de, Galembeck F 2009. QUALIS: Quo Vadis? Quim Nova 32(1):5–5.
Avkiran NK 1997. Scientific collaboration in finance does not lead to better quality research. Scientometrics 39(2):173–184.
Bathelt H, Henn S 2014. The Geographies of Knowledge Transfers over Distance: Toward a Typology. Environ Plan A Econ Sp 46(6):1403–1424.
Beaver DD 2001. Reflections on Scientific Collaboration (and its study): Past, Present, and Future. Scientometrics 52(3):365–377.
Borges PP, Oliveira KAF de A, Machado KB, Vaz ÚL, Cunha HF da, Nabout JC 2014. Trends and gaps of the scientific literature on the Cerrado biome: A scientometric analysis. Neotrop Biol Conserv 10(1):2–8.
Chinchilla-Rodríguez Z, Vargas-Quesada B, Hassan-Montero Y, González-Molina A, Moya-Anegóna F 2010. New Approach to the Visualization of International Scientific Collaboration. Inf Vis 9(4):277–287.
Coccia M, Wang L 2016. Evolution and convergence of the patterns of international scientific collaboration. Proc Natl Acad Sci 113(8):2057–2061.
Csardi G, Nepusz T 2006. The igraph software package for complex network research. InterJournal, Complex Syst 1695(5):1–9.
Fonseca B de PF e, Silva MVP da, Araújo KM de, Sampaio RB, Moraes MO 2017. Network analysis for science and technology management: Evidence from tuberculosis research in Fiocruz, Brazil. PLoS One 12(8):e0181870.
Frenken K 2002. A New Indicator of European Integration and an Application to Collaboration in Scientific Research. Econ Syst Res 14(4):345–361.
Frenken K, Hoekman J 2014. Spatial Scientometrics and Scholarly Impact: A Review of Recent Studies, Tools, and Methods. In Measuring Scholarly Impact. Springer International Publishing, Cham, p. 127–146.
Gazni A, Sugimoto CR, Didegah F 2012. Mapping world scientific collaboration: Authors, institutions, and countries. J Am Soc Inf Sci Technol 63(2):323–335.
Giraudoux P 2018. pgirmess: Spatial Analysis and Data Mining for Field Ecologists. R package version 1.6.9.
Gui Q, Liu C, Du D 2019. Globalization of science and international scientific collaboration: A network perspective. Geoforum 105:1–12.
Haunschild R, Bornmann L, Marx W 2016. Climate Change Research in View of Bibliometrics. PLoS One 11(7):e0160393.
Huang D 2015. Temporal evolution of multi-author papers in basic sciences from 1960 to 2010. Scientometrics 105(3):2137–2147.
Ivancheva L 2013. Science - Society Relations Enhancement: Policy Implications and Some Scientometric Evidences. Bulg J Sci Educ Policy 7(2):49–66.
Jansen D, von Görtz R, Heidler R 2010. Knowledge production and the structure of collaboration networks in two scientific fields. Scientometrics 83(1):219–241.
Jeong S, Choi JY, Kim J-Y 2014. On the drivers of international collaboration: The impact of informal communication, motivation, and research resources. Sci Public Policy 41(4):520–531.
Katz JS, Martin BR 1997. What is research collaboration? Res Policy 26(1):1–18.
Koschützki D, Lehmann KA, Peeters L, Richter S, Tenfelde-Podehl D, Zlotowski O 2005. Centrality Indices. In Brandes U, Erlebach T eds. Network Analysis. Springer, Berlin, Heidelberg, p. 16–61.
Köseoglu MA, Okumus F, Putra ED, Yildiz M, Dogan IC 2018. Authorship Trends, Collaboration Patterns, and Co-Authorship Networks in Lodging Studies (1990–2016). J Hosp Mark Manag 27(5):561–582.
Larivière V, Gingras Y, Archambault É 2006. Canadian collaboration networks: A comparative analysis of the natural sciences, social sciences and the humanities. Scientometrics 68(3):519–533.
Larivière V, Gingras Y, Sugimoto CR, Tsou A 2015. Team size matters: Collaboration and scientific impact since 1900. J Assoc Inf Sci Technol 66(7):1323–1332.
Legendre P, Legendre L 2012. Numerical Ecology. Elsevier, Amsterdam, 853 pp.
Lemarchand GA 2012. The long-term dynamics of co-authorship scientific networks: Iberoamerican countries (1973–2010). Res Policy 41(2):291–305.
Leta J 2012. Brazilian growth in the mainstream science: The role of human resources and national journals. J Scientometr Res 1(1):44–52.
Leta J, Chaimovich H 2002. Recognition and international collaboration: the Brazilian case. Scientometrics 53(3):325–335.
Liao CH, Yen HR 2012. Quantifying the degree of research collaboration: A comparative study of collaborative measures. J Informetr 6(1):27–33.
Mêgnigbêto E 2013. International collaboration in scientific publishing: the case of West Africa (2001–2010). Scientometrics 96(3):761–783.
de Meis L, Velloso A, Lannes D, Carmo MS, de Meis C 2003. The growing competition in Brazilian science: rites of passage, stress and burnout. Brazilian J Med Biol Res 36(9):1135–1141.
Mugnaini R, Jannuzzi PDM, Quoniam L 2004. Indicadores bibliométricos da produção científica brasileira: uma análise a partir da base Pascal. Ciência da Informação 33(2):123–131.
Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GAB, Kent J 2000. Biodiversity hotspots for conservation priorities. Nature 403(6772):853–858.
Nabout JC, Carvalho P, Prado MU, Borges PP, Machado KB, Haddad KB, Michelan TS, Cunha HF, Soares TN 2012. Trends and Biases in Global Climate Change Literature. Nat Conserv 10(1):45–51.
Nabout JC, Parreira MR, Teresa FB, Carneiro FM, da Cunha HF, de Souza Ondei L, Caramori SS, Soares TN 2015. Publish (in a group) or perish (alone): the trend from single- to multi-authorship in biological papers. Scientometrics 102(1):357–364.
Oden N 1984. Assessing the significance of a spatial correlogram. 16, 1–16 pp.
Oksanen J, Blanchet F, Friendly M, Kindt R, Legendre P 2017. Vegan: community ecology package. R package version 2.4-3.
Orazbayev S 2017. International knowledge flows and the administrative barriers to mobility. Res Policy 46(9):1655–1665.
Padial AA, Nabout JC, Siqueira T, Bini LM, Diniz-Filho JAF 2010. Weak evidence for determinants of citation frequency in ecological articles. Scientometrics 85(1):1–12.
Pan RK, Kaski K, Fortunato S 2012. World citation and collaboration networks: uncovering the role of geography in science. Sci Rep 2(1):902.
Parreira MR, Machado KB, Logares R, Diniz-Filho JAF, Nabout JC 2017. The roles of geographic distance and socioeconomic factors on international collaboration among ecologists. Scientometrics 113(3):1539–1550.
Ponds R, van Oort F, Frenken K 2007. The geographical and institutional proximity of research collaboration. Pap Reg Sci 86(3):423–443.
QGIS Development Team 2018. QGIS Geographic Information System. Open Source Geospatial Foundation Project.
R Core Team 2019. A language and environment for statistical computing. R Foundation for Statistical Computing.
Sangam SL, Arali U, Patil CG, Megeri MN 2013. Scientometrics analysis of Genetics Literature. Collnet J Sci Inf Manag 7(2):173–190.
Sangam SL, Meera 2009. Research Collaboration Pattern in Indian Contributions to Chemical Sciences. Collnet J Sci Inf Manag 3(1):39–45.
Santin DM, Vanz SAS, Stumpf IRC 2016. Collaboration networks in the Brazilian scientific output in evolutionary biology: 2000-2012. An Acad Bras Cienc 88(1):165–178.
Sidone OJG, Haddad EA, Mena-Chalco JP 2017. Scholarly publication and collaboration in Brazil: The role of geography. J Assoc Inf Sci Technol 68(1):243–258.
Silberzahn R, Uhlmann EL 2015. Crowdsourced research: Many hands make tight work. Nature 526(7572):189–191.
de Souza CG, Ferreira MLA 2013. Researchers profile, co-authorship pattern and knowledge organization in information science in Brazil. Scientometrics 95(2):673–687.
The Royal Society 2011. Knowledge, networks and nations: Global scientific collaboration in the 21st century. Elsevier, London, 113 pp.
Vanz SA de S, Stumpf IRC 2012. Scientific Output Indicators and Scientific Collaboration Network Mapping in Brazil. Collnet J Sci Inf Manag 6(2):315–334.
Vermeulen N, Parker JN, Penders B 2013. Understanding life together: A brief history of collaboration in biology. Endeavour 37(3):162–171.
Woodward FI, Lomas MR, Kelly CK 2004. Global climate and the distribution of plant biomes. Philos Trans R Soc London Ser B Biol Sci 359(1450):1465–1476.
Ynalvez MA, Shrum WM 2011. Professional networks, scientific collaboration, and publication productivity in resource-constrained research institutions in a developing country. Res Policy 40(2):204–216.
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Published
2022-08-02
How to Cite
PARREIRA, Micael Rosa; SOARES, Philip Teles; NABOUT, João Carlos. Spatial Structure of National and International Scientific Collaboration in the Brazilian Cerrado Research. Fronteiras - Journal of Social, Technological and Environmental Science, [S. l.], v. 11, n. 2, p. 83–95, 2022. DOI: 10.21664/2238-8869.2022v11i2.p83-95. Disponível em: https://periodicos.unievangelica.edu.br/index.php/fronteiras/article/view/5688. Acesso em: 24 nov. 2024.
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