Redes de coautoria e colaboração institucional nas ciências da saúde: análise evolutiva a partir de star scientists nacionais

Célia Ferreira, António Costa

Resumo


A análise das redes de colaboração científica constitui, na atualidade, um conhecimento de particular importância no meio académico e no âmbito da delineação de políticas e estratégias públicas em matéria de Ciência e de I&D. Recorrendo à abordagem egocêntrica em Análise de Redes Sociais, pretende-se contribuir para o estudo das redes de coautoria e colaboração institucional nas ciências da saúde, através dos estudos de caso de star scientists nacionais – Alexandre Quintanilha e Manuel Sobrinho-Simões. O resultado são diferentes configurações destas redes para dois cientistas com percursos profissionais distintos; a investigação de um e de outro, refletida nas publicações científicas, é feita predominantemente em rede com outros investigadores e envolvendo diferentes instituições.

Texto Completo:

PDF

Referências


Andersson, Ă. E. and O. Persson (1993). "Networking scientists." The Annals of Regional Science 27: 11-21.

Asheim, B., L. Coenen and J. Vang (2007). "Face-to-face, buzz, and knowledge bases: sociospatial implications for learning, innovation, and innovation policy." Environment and Planning C: Government and Policy 25: 655-670.

Barabási, A. L., H. Jeong, Z. Néda, E. Ravasz, A. Schubert and T. Vicsek (2002). "Evolution of the social network of scientific collaborations." Physica A: Statistical Mechanics and its Applications 311(3-4): 590-614.

Baur, M., U. Brandes, J. Lerner and D. Wagner (2009). "Group-level analysis and visualization of social networks." Algorithmics 5515 LNCS: 330-358.

Bornmann, L., L. Leydesdorff, C. Walch-Solimena and C. Ettl (2011). "Mapping excellence in the geography of science: An approach based on Scopus data." Journal of Informetrics 5(4): 537-546.

Boyack, K. W., R. Klavans and K. Börner (2005). "Mapping the backbone of science." Scientometrics 64(3): 351-374.

Leydesdorff, L. and O. Persson (2010). "Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes." Journal of the American Society for Information Science and Technology 61(8): 1622-1634.

Maier, G., B. Kurka and M. Trippl (2007). Knowledge Spillover Agents and Regional Development: Spatial Distribution and Mobility of Star Scientists, DYNREG (Dynamic Regions in a Knowledge-Driven Global Economy). 17: 35.

Newman, M. E. J. (2001). "The structure of scientific collaboration networks." Proceedings of the National Academy of Sciences of the United States of America 98(2): 404-409.

Newman, M. E. J. (2004). "Coauthorship networks and patterns of scientific collaboration." Proceedings of the National Academy of Sciences of the United States of America 101(1): 5200-5205.

Owen-Smith, J. and W. W. Powell (2004). "Knowledge Networks as Channels and Conduits: The Effects of Spillovers in the Boston Biotechnology Community." Organization Science 15(1): 5-21.

Scott, J. (2000). Social Network Analysis: A Handbook, SAGE Publications.

Tomassini, M. and L. Luthi (2007). "Empirical analysis of the evolution of a scientific collaboration network." Physica A: Statistical Mechanics and its Applications 385(2): 750-764.

Valderrama-Zurián, J. C., G. González-Alcaide, F. J. Valderrama-Zurián, R. Aleixandre-Benavent and A. Miguel-Dasit (2007). "Coauthorship Networks and Institutional Collaboration

in Revista Española de Cardiología Publications." Revista Española de Cardiología Publications 60(2): 117-130.

Wagner, C. S. and L. Leydesdorff (2005). "Network structure, self-organization, and the growth of international collaboration in science." Research Policy 34(10): 1608-1618.

Zucker, L. G. and M. R. Darby (1996). "Star scientists and institutional transformation: Patterns of invention and innovation in the formation of the biotechnology industry." Proceedings of the National Academy of Sciences of the United States of America 93(23): 12709-12716.

Zucker, L. G. and M. R. Darby (1997). "Individual action and the demand for institutions - Star scientists and institutional transformation." American Behavioral Scientist 40(4): 502-513.

Zucker, L. G. and M. R. Darby (1997). "Present at the biotechnological revolution: transformation of technological identity for a large incumbent pharmaceutical firm." Research Policy 26(4-5): 429-446.

Zucker, L. G. and M. R. Darby (2006). "Movement of star scientists and engineers and high-tech firm entry." National Bureau of Economic Research (NBER) Working Paper N. 12172: 1-56.

Zucker, L. G., M. R. Darby, J. Furner, R. C. Liu and H. Y. Ma (2007). "Minerva unbound: Knowledge stocks, knowledge flows and new knowledge production." Research Policy 36(6): 850-863.


Apontadores

  • Não há apontadores.


 

 

 

 

LISTA DAS REVISTAS