Brazilian Journal of Probability and Statistics
- Braz. J. Probab. Stat.
- Volume 32, Number 4 (2018), 755-782.
Brazilian network of PhDs working with probability and statistics
Luciano Digiampietri, Leandro Rêgo, Filipe Costa de Souza, Raydonal Ospina, and Jesús Mena-Chalco
Abstract
Statistical and probabilistic reasoning enlightens our judgments about uncertainty and the chance or beliefs on the occurrence of random events in everyday life. Therefore, there are scientists working with Probability and Statistics in various fields of knowledge, what favors the formation of scientific network collaborations of researchers with different backgrounds. Here, we propose to describe the Brazilian PhDs who work with probability and statistics. In particular, we analyze national and states collaboration networks of such researchers by calculating different metrics. We show that there is a greater concentration of nodes in and around the cites which host Probability and Statistics graduate programs. Moreover, the states that host P&S Doctoral programs are the most central. We also observe a disparity in the size of the states networks. The clustering coefficient of the national network suggests that this network and regional differences especially with respect to states from South-east and North is not cohesive and, probably, it is in a maturing stage.
Article information
Source
Braz. J. Probab. Stat., Volume 32, Number 4 (2018), 755-782.
Dates
Received: April 2016
Accepted: April 2017
First available in Project Euclid: 17 August 2018
Permanent link to this document
https://projecteuclid.org/euclid.bjps/1534492900
Digital Object Identifier
doi:10.1214/17-BJPS362
Mathematical Reviews number (MathSciNet)
MR3845028
Zentralblatt MATH identifier
06979599
Keywords
Academic collaboration CNPq’s productivity research fellows probability and statistics social network analysis
Citation
Digiampietri, Luciano; Rêgo, Leandro; Costa de Souza, Filipe; Ospina, Raydonal; Mena-Chalco, Jesús. Brazilian network of PhDs working with probability and statistics. Braz. J. Probab. Stat. 32 (2018), no. 4, 755--782. doi:10.1214/17-BJPS362. https://projecteuclid.org/euclid.bjps/1534492900