Spatial Structure of National and International Scientific Collaboration in the Brazilian Cerrado Research
DOI:
https://doi.org/10.21664/2238-8869.2022v11i2.p83-95Palavras-chave:
redes de colaboração, correlogramas, coautoria, cienciometria espacialResumo
O número de autores em artigos tem aumentado ao longo dos anos, indicando tendências colaborativas em Ciência e Tecnologia. Além disso, a colaboração científica é estruturada em diferentes escalas espaciais, por exemplo, dentre ou entre instituições no mesmo país ou entre países. Aqui nós avaliamos os padrões da colaboração científica em nível nacional e internacional na pesquisa no Cerrado. Nós buscamos todos os artigos sobre o Cerrado publicados entre 1945 e 2017 no banco de dados Web of Science. As análises de rede foram realizadas usando matrizes de distância par-a-par para criar a rede de colaboração nacional e internacional. Correlogramas espaciais também foram utilizados para testar o efeito da distância geográfica sobre as redes de colaboração. O número de artigos aumentou ao longo dos anos (rs = 0.96), onde artigos com 3-5 autores tiveram a maior taxa de crescimento (rs = 0.96). Além disso, autores de instituições geograficamente mais próximas tendem a colaborar mais em nível nacional, enquanto nenhum efeito geográfico sobre a colaboração internacional. Esses resultados mostram que cientistas brasileiros estudando o Cerrado tem colaborado mais ao longo do tempo independente da distância, embora localmente, cientistas ainda tendem a trabalhar junto de cientistas de instituições mais próximas dentro do bioma. Essa tendência colaborativa pode estar associada com a necessidade da ciência em lidar com problemas mais complexo e multidisciplinares, ao qual estudos em colaboração promovem um maior impacto cientifico e social.
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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.
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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.
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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2022-08-02
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PARREIRA, Micael Rosa; SOARES, Philip Teles; NABOUT, João Carlos. Spatial Structure of National and International Scientific Collaboration in the Brazilian Cerrado Research. Fronteira: 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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