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
