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“Brazilian style science”—an analysis of the difference between Brazilian and international Computer Science departments and graduate programs using social networks analysis and bibliometrics

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Abstract

In this paper, we compare the Brazilian Computer Science Graduate Programs of levels 6 and 7 (which CAPES assume to be equivalent to good international ones) and those departments best ranked in three different international rankings. We used both bibliometric and social networks analysis metrics, and we could see that there is a great difference between the results achieved by the national and international programs. The results from a principal component analysis show that the Brazilian programs are a class of their own and do not share the characteristics of the best international departments. We also analyzed the CAPES grade system and show that it is consistent, even if based on different metrics than those used internationally. It is safe to conclude that there is a “Brazilian Science” that is different from the worldwide accepted one and that derives, in a certain way, from an observer effect. We discuss the observer effect in Science and how scientific output could actually be measured.

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References

  • Alves A, Yanasse H, Soma N (2011a) Sucupira: a system for information extraction of the Lattes platform to identify academic social networks. In: 2011 6th Iberian Conference on Information systems and technologies (CISTI), pp 1–6

  • Alves AD, Yanasse HH, Soma NY (2011b). Lattesminer: a multilingual dsl for information extraction from lattes platform. In: Proceedings of the compilation of the co-located workshops on DSM’11, TMC’11, AGERE! 2011, AOOPES’11, NEAT’11, & VMIL’11, SPLASH’11 workshops, ACM, pp 85–92

  • Arruda D, Bezerra F, Neris V, Rocha De Toro P, Wainera J (2009) Brazilian computer science research: gender and regional distributions. Scientometrics 79(3):651–665

    Article  Google Scholar 

  • Bergstrom CT, West JD, Wiseman MA (2008) The eigenfactor metrics. J Neurosci 28:11433–11434

    Article  Google Scholar 

  • Berkowitz SD (1982) An introduction to structural analysis: the network approach to social research. Butterworths, London

    Google Scholar 

  • Bollen J, Rodriquez MA, Van de Sompel H (2006) Journal status. Scientometrics 69:669–687

    Article  Google Scholar 

  • Breiger R (2004) The analysis of social networks. In: Hardy M, Bryman A (eds) Handbook of data analysis. Sage Publications, London, pp 505–526

  • Cole JR, Zuckerman H (1984) The productivity puzzle: persistence and change in patterns of publication of men and women scientists. Adv Motiv Achiev 2(2):1

    Google Scholar 

  • Costa B, da Silva Pedro E, de Macedo G (2013) Scientific collaboration in biotechnology: the case of the northeast region in brazil. Scientometrics 95(2):571–592

    Article  Google Scholar 

  • da Cunha e Melo PL (2011) Produtividade, internacionalização e visibilidade da comunidade científica Brasileira na virada do milênio. PhD thesis, Universidade Federal do Rio de Janeiro

  • Digiampietri LA, Mena-Chalco JP, Vaz de Melo POS, Malheiro APR, Meira DNO, Franco LF, Oliveira LB (2014) BraX-ray: an x-ray of the Brazilian computer science graduate programs. PLoS ONE 9(4):e94541

    Article  Google Scholar 

  • Duffy RD, Jadidian A, Webster GD, Sandell KJ (2011) The research productivity of academic psychologists: assessment, trends, and best practice recommendations. Scientometrics 89(1):207–227

    Article  Google Scholar 

  • Franceschet M (2010) A comparison of bibliometric indicators for computer science scholars and journals on web of science and google scholar. Scientometrics 83(1):243–258

    Article  Google Scholar 

  • Franceschet M (2011) Collaboration in computer science: a network science approach. J Am Soc Inf Sci Technol 62(10):1992–2012

    Article  Google Scholar 

  • Freire V, Figueiredo D (2011) Ranking in collaboration networks using a group based metric. J Braz Comput Soc 17:1–12

    Article  MathSciNet  Google Scholar 

  • Gallivan MJ, Benbunan-Fich R (2006) Examining the relationship between gender and the research productivity of IS faculty. In: Proceedings of the 2006 ACM SIGMIS CPR conference on computer personnel research: forty four years of computer personnel research: achievements, challenges and the future, ACM, pp 103–113

  • Garfield E (1955) Citation indexes for science. a new dimension in documentation through association of ideas. Science 122:1123–1127

    Article  Google Scholar 

  • Glanzel W, Schubert A (2004) Analysing scientific networks through coauthorship. In: Handbook of quantitative science and technology research, Kluwer Academic Publishers, Dordrecht, pp 257–276

  • Hirsch JE (2005) An index to quantify an individual’s scientific research output. Proc Natl Acad Sci USA 102(46):16569–16572

    Article  MATH  Google Scholar 

  • KCUE (Korean Council for Higher Education) Key programs and resources, Internet Site available at. http://english.kcue.or.kr/resources/resources_01_01.php. Accessed Apr 2017

  • Laender A, de Lucena C, Maldonado J, de Souza e Silva E, Ziviani N (2008) Assessing the research and education quality of the top Brazilian computer science graduate programs. ACM Spec Interest Group Comput Sci Educ 40(2):135–145

    Google Scholar 

  • Leite P, Mugnaini R, Leta J (2011) A new indicator for international visibility: exploring Brazilian scientific community. Scientometrics 88:311–319

    Article  Google Scholar 

  • Lemieux V, Ouimet M (2008) Análise Estrutural das Redes Sociais. Instituto Piaget, Lisboa

  • Ley M (2002). The DBLP computer science bibliography: evolution, research issues, perspectives. In: Proceedings of the 9th international symposium on string processing and information retrieval, SPIRE 2002, Springer, London, UK, pp 1–10

  • Lindsey D (1989) Using citation counts as a measure of quality in science: measuring what’s measurable rather than what’s valid. Scientometrics 15:189–203

    Article  Google Scholar 

  • Martins WS, Gonçalves MA, Laender AHF, Ziviani N (2010) Assessing the quality of scientific conferences based on bibliographic citations. Scientometrics 83(1):133–155

    Article  Google Scholar 

  • Mena-Chalco JP, Cesar RM Jr (2009) ScriptLattes: an open-source knowledge extraction system from the Lattes platform. J Braz Comput Soc 15:31–39

    Article  Google Scholar 

  • Menezes GV, Ziviani N, Laender AHF, Almeida V (2009) A geographical analysis of knowledge production in computer science. In: Proceedings of the 18th international conference on World Wide Web, pp 1041–1050

  • Mugnaini R, Digiampietri LA, de Oliveira LC, Ferreira SMSP (2012) Normalização de nomes de autores em fontes de informação institucionais: proposta de um método automático de verificação de erros. Em Questão 18(3):263–279

    Google Scholar 

  • Newman MEJ (2004) Coauthorship networks and patterns of scientific collaboration. Natl Acad Sci 101:5200–5205

    Article  Google Scholar 

  • Orduna-Malea E, Ayllón JM, Martín-Martín A, López-Cózar ED (2015) Methods for estimating the size of Google Scholar. Scientometrics 104(3):931–949

    Article  Google Scholar 

  • Ortega JL, Aguillo IF (2014) Microsoft academic search and google scholar citations: comparative analysis of author profiles. J Assoc Inf Sci Technol 65:1149–1156

    Article  Google Scholar 

  • Reddit (2014) Top 40 countries by the number of scientific papers published. https://www.reddit.com/r/dataisbeautiful/comments/20k5dk/top_40_countries_by_the_number_of_scientific/. Last Accessed 19 Apr 2017

  • Scimago (2017) Scimago journal and country rank. http://www.scimagojr.com/countryrank.php. Last Accessed 19 Apr 2017

  • Scott J (2009) Social network analysis: a handbook, 2nd edn. SAGE, Thousand Oaks

    Google Scholar 

  • Ulrik B, Erlebach T (2005) Network analysis: methodological foundations. Springer, Berlin

    MATH  Google Scholar 

  • Vardi MY (2009) Conferences vs. journals in computing research. Commun ACM 52(5):5

    Article  Google Scholar 

  • Wainer J, Vieira P (2013) Correlations between bibliometrics and peer evaluation for all disciplines: the evaluation of Brazilian scientists. Scientometrics 96(2):395–410

    Article  Google Scholar 

  • Wasserman S, Faust K (2009) Social network analysis: methods and applications, 19th edn. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  • Wasserman S, Galaskiewicz J (1994) Advances in social network analysis research in the social and behavioral sciences. SAGE, Thousand Oaks

    Book  Google Scholar 

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Linden, R., Barbosa, L.F. & Digiampietri, L.A. “Brazilian style science”—an analysis of the difference between Brazilian and international Computer Science departments and graduate programs using social networks analysis and bibliometrics. Soc. Netw. Anal. Min. 7, 44 (2017). https://doi.org/10.1007/s13278-017-0463-0

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