A Co-authorship network analysis of CNPq’s productivity research fellows in the probability and statistic area

Perspectivas em Ciencia da Informacao

Filipe Costa de Souza¹  Leandro Chaves Rêgo²  Raabe Marques Amorim³ 

[1] Departamento de Ciências Contábeis e Atuariais da UFPE, Recife-PE.;Departamento de Estatística da UFPE, Recife-PE.;Programa de Pos-Graduação em Estatística da UFPE, Recife-PE

关键词: social network analysis;    scientific performance;    co-authorship;    probability;    statistic.;   

DOI  :  

学科分类：农业科学（综合）

来源: Universidade Federal de Minas Gerais * Escola de Biblioteconomia

【 摘 要 】

In this paper, we analyzed the co-authorship network between all CNPq’s productivity research fellows in the Probability and Statistics area in Brazil. Our aim was to describe and to understand how network measures influence researchers’ productivity. The data was gathered from the CNPq’s Lattes Platform using the software scriptLattes, and a link between two fellows represents the fact that they wrote an article together from 2009 to 2013. The network is disconnected and has only 4.7% of its possible connections. Through a regression analysis, we were able to infer that the centrality positions of an author matters to his/her productivity. As expected, closeness centrality had a negative effect on fellows’ productivity, while the degree centrality had a positive effect.

【 授权许可】

Unknown