Who’s Who in the Colombian Co-Authorship Network?

DOI:  https://doi.org/10.12804/revistas.urosario.edu.co/economia/a.10471

Article Sidebar

PDF (Español (España)) HTML (Español (España)) Lector Inteligente (Español (España)) ePub (Español (España))

Published: Jun 24, 2021
Issue: Vol. 24 No. 2 (2021): 24-2
Section Articles


Keywords: : networks, coauthorship, research centrality : networks, coauthorship, research, centrality. networks coauthorship research centrality

Main Article Content

Authors

  Carlos León
Banco de la República (Colombia)
  Angélica Bahos-Olivera
Banco de la República (Colombia)

Abstract

We study the co-authorship network of articles published between 2010 and 2019 in Scopus-indexed journals in the economics, econometrics, and finance subject areas with at least one of the authors affiliated to a Colombian institution. We visualize and describe the connective structure of the co-authorship network. Although it is sparsely connected, there are a few well-connected authors that keep it together and allow others to be close to each other, which is commonly known as a small-world network; this concurs with related literature. After discarding occasional authors, we quantify the importance of authors as contributors to the network. Results show the importance of authors affiliated to the Banco de la República (Colombia’s central bank), who decisively contribute to the connective structure of the network. This article is a first step towards the study of indexed publications in economics in the Colombian case.

How to Cite
León, C., & Bahos-Olivera, A. (2021). Who’s Who in the Colombian Co-Authorship Network?. Revista Economía Del Rosario, 24(2), 1–39. https://doi.org/10.12804/revistas.urosario.edu.co/economia/a.10471
References

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

Query Statistics

Downloads

Download data is not yet available.
Publcation metrics

818 117




 

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Los autores conservan los derechos de autor y garantizan a la revista el derecho de ser la primera publicación del trabajo al igual que licenciado bajo una Creative Commons Attribution License que permite a otros compartir el trabajo con un reconocimiento de la autoría del trabajo y la publicación inicial en esta revista.