A nationwide dataset of advisor-advisee relationships

Published: 26-10-2019| Version 1 | DOI: 10.17632/wrg5fmt35d.1
Contributors:
Rafael Jeferson Pezzuto Damaceno,
Jesus Mena-Chalco

Description

This dataset contains pairs of advisor-advisee relationships with regards to the academic genealogy in Brazil. We generated it through the application of an updated version of the algorithm described in [1], based on 6,300,000 academic curricula. The dataset is represented by a directed graph where each vertex is an Academic and each edge is a relationship between two Academics (a master, doctorate and/or post-doctorate). The edge's source is the advisor (professor), and the edges' target is the advisee (student). The graph contains 1,272,590 vertices and 1,404,109 edges; these are available by two comma-separated values files. A vertex is composed of the vertex's code, the researcher's abbreviated full name, the major area of knowledge, area of knowledge, and values of seven topological metrics (descendants, fecundity, fertility, cousins, generations, relations, and genealogical index) - see [2,3] for more details. An edge contains the source and target vertices codes, the academic degree (i.e., masters, doctorate and/or post-doctorate), the start and conclusion years of this degree, the course and institution where the degree was received, thesis, the major area of knowledge and area of knowledge. References: [1]. Damaceno, R.J.P., Rossi, L., Mugnaini, R., Mena-Chalco, J.P. The Brazilian academic genealogy: evidence of advisor-advisee relationships through quantitative analysis. Scientometrics (2019) 119, 303-333. https://doi.org/10.1007/s11192-019-03023-0. [2] Rossi, L., Damaceno, R.J.P., Freire, I.L., Bechara, E.J.H., Mena-Chalco, J.P. Topological metrics in academic genealogy graphs. Journal of Informetrics (2018). 12, 1042-1058. https://doi.org/10.1016/j.joi.2018.08.004. [3] Rossi, L., Freire, I.L., Mena-Chalco, J.P. Genealogical index: A metric to analyze advisor-advisee relationship. Journal of Informetrics (2017) 11, 564-582. https://doi.org/10.1016/j.joi.2017.04.001.