Contenido principal del artículo

Carlos León
Angélica Bahos-Olivera

En esta investigación se estudia la red de coautoría de artículos publicados entre el 2010 y el 2019 en revistas indexadas en Scopus, del área de economía, econometría y finanzas, en las que alguno de los autores está afiliado a una institución en Colombia. Conseguimos visualizar y describir la estructura conectiva de la red de coautoría. Pese a que la red
es poco interconectada, existen unos cuantos autores altamente vinculados que la mantienen
unida y con una corta distancia entre los investigadores que la conforman, en lo que se conoce como una red de mundo pequeño. Luego de descartar a autores ocasionales, se cuantificó la importancia de estos por su contribución a la red de coautoría. Es de resaltar la importancia de los autores afiliados al Banco de la República (el banco central de Colombia), quienes contribuyen de gran manera a la estructura conectiva de la red. Este es un primer paso hacia el estudio de la red de publicaciones indexadas del área de economía en el caso colombiano.

Descargas

Los datos de descargas todavía no están disponibles.
León, C. ., & Bahos-Olivera, A. (2021). Quién es quién en la red de coautoría en Colombia. Revista De Economía Del Rosario, 24(2). https://doi.org/10.12804/revistas.urosario.edu.co/economia/a.10471

Albert, R., & Barabási, A.-L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), 47-97. https://doi.org/10.1103/RevModPhys.74.47

Alpaydin, E. (2014). Introduction to Machine Learning. The mit Press.

Barabási, A.-L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509-512. https://doi.org/10.1126/science.286.5439.509

Barabási, A.-L., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical mechanics and its applications, 311(3-4), 590-614. https://doi.org/10.1016/S0378-4371(02)00736-7

Börner, K., Sanyal, S., & Vespignani, A. (2007). Network science. Annual Review of Information Science and Technology, 41(1), 537-607. https://doi.org/10.1002/aris.2007.1440410119

Cárdenas-Tapia, M. (2021). Redes de colaboración científica en el Instituto Politécnico Nacional de México. Investigación Administrativa, 50(127), 192-212. https://doi.org/10.35426/iav50n127.06

Clauset, A., Shalizi, C.R., & Newman, M.E.J. (2009). Power-law distributions in empirical data. siam Review, 51(4), 661-703. https://doi.org/10.1137/070710111

Essers, D., Grigoli, F., & Pugacheva, E. (2020). Network effects and research collaborations (imf Working Paper n.° 144). International Monetary Fund.

Fatt, C.K., Ujum, E.A., & Ratnavelu, K. (2010). The structure of collaboration in the Journal of Finance. Scientometrics, 85(3), 849-860. https://doi.org/10.1007/s11192-010-0254-0

Gosh, P., & Liu, Z. (2020). Coauthorship and the gender gap in top economics journal publications. Applied Economic Letters, 27(7), 580-590. https://doi.org/10.1080/13504851.2019.1644420

Goyal, S., Van der Leij, M., & Moraga-González, J.L. (2006). An emerging small world. Journal of Political Economy, 114(2), 403-412. https://doi.org/10.1086/500990

Hamermesh, D. (2020). Measuring success in economics. En S. Galiani & U. Panizza (Eds.), Publishing and Measuring Success in Economics. ceprPress. https://n9.cl/15z65

Hollis, A. (2001). Co-authorship and the output of academic economists. Labour Economics, 8(4), 503-530. https://doi.org/10.1016/S0927-5371(01)00041-0

Hsieh, C.-S., König, M.D., Liu, X., & Zimmermann, C. (2018). Superstar Economists: Coauthorship Networks and Research Output (iza Working Papers n.° 11916). Institute of Labor Economics. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3266432

Katz, J.S., & Martin, B.R. (1997). What is research collaboration?. Research Policy, 26(1), 1-18. https://doi.org/10.1016/S0048-7333(96)00917-1

Kumar, S. (2015). Co-authorship networks: a review of the literature. Aslib Journal of Information Management, 67(1), 55-73. https://doi.org/10.1108/AJIM-09-2014-0116

Larrosa, J.C. (2019). Co-authorship networks of Argentine economists. Journal of Economics, Finance and Administrative Science, 24(47), 82-96. https://doi.org/10.1108/JEFAS-06-2018-0062

Liebowitz, S. (2020). Our uneconomic methods of measuring economic research. En S. Galiani & U. Panizza (Eds.), Publishing and Measuring Success in Economics. cepr Press.

Liu, X., Bollen, J., Nelson, M.L., & Van de Sompel, H. (2005). Co-authorship networks in the digital library research community. Information processing & Management, 41(6), 1462-1480. https://doi.org/10.1016/j.ipm.2005.03.012

Łopaciuk-Gonczaryk, B., Bukowska, G., & Fałkowski, J. (2015). Teaming up or writing alone – authorship strategies in leading polish economic journals. Argumenta Oeconomica, 2(35), 5-24. https://www.wne.uw.edu.pl/files/2314/2244/2304/WNE_WP146.pdf

Lu, C., Zhang, Y., Ahn, Y-Y., Ding, Y., Zhang, C., & Ma, D. (2019). Co-contributorship network and division of labor in individual scientific collaborations. Journal of the Association for Information Science and Technology, 71(10), 1162-1178. https://doi.org/10.1002/asi.24321

Martín-Martín, A., Orduna-Malea, E., Thelwall, M., & Delgado López-Cózar, E. (2018). Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories. Journal of Informetrics, 12(4), 1160-1177. https://doi.org/10.1016/j.joi.2018.09.002

Mehta, P., Bukov, M., Wang, C.-H., Day, A.G.R., Richardson, C., Fisher, C.K., & Schwab, D.J. (2019). A high-bias, low-variance introduction to Machine Learning for physicists. Physics reports, 810, 1-124. https://doi.org/10.1016/j.physrep.2019.03.001

Melin, G., & Persson, O. (1996). Studying research collaboration using coauthorships. Scientometrics, 36(3), 363-377. https://doi.org/10.1007/bf02129600

Newman, M.E.J. (2001). Scientific collaboration networks (I. Network construction and fundamental results). Physical Review E, 64. https://doi.org/10.1103/PhysRevE.64.016131

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, 5200-5205. https://doi.org/10.1073/pnas.0307545100

Newman, M.E.J. (2010). Networks: An Introduction. Oxford University Press.

O’Hagan, J., & Kuld, L. (2020). Multi-authored journal articles in economics: Why the spiralling upward trend?. En S. Galiani & U. Panizza (Eds.), Publishing and Measuring Success in Economics. cepr Press.

Rath, K., & Wohlrabe, K. (2016). Recent trends in co-authorship in economics: evidence from RePEc. Applied Economic Letters, 23(12), 897-902. https://doi.org/10.1080/13504851.2015.1119783

Tabak, B.M., Silva, T.C., Fiche, M.E., & Braz, T. (2021). Citation likelihood analysis of the interbank financial networks literature: A machine learning and bibliometric approach. Physica A, 562. https://doi.org/10.1016/j.physa.2020.125363

Uddin, S., Hossain, L., & Rasmussen, K. (2013). Network effects on scientific collaborations. PLoS One, 8(2). https://doi.org/10.1371/journal.pone.0057546

Yan, E., & Ding, Y. (2009). Applying centrality measures to impact analysis: A coauthorship network analysis. Journal of the Association for Information Science and Technology, 71(10), 2107-2118. https://doi.org/10.1002/asi.21128

Detalles del artículo