Caracterização automática de grupos acadêmicos utilizando bibliometria e análise de redes sociais

Content Provider	Semantic Scholar
Author	Barbosa, Lênin Ferreira
Copyright Year	2017
Abstract	BARBOSA, Lênin Ferreira. Automatic characterization of academic groups using bibliometrics and social networks analysis. 2017. 65 p. Dissertation (Master of Science) – School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, 2017. The academic evaluation (of researchers, departments, graduate programs or institutions) is a routine activity and used for the granting of resources for a project, definition of the funds that will be released to a given graduate program or even for the authorization of the offering of a doctorate course. However, this activity is complex with comparative methodologies still in evaluation. Two criteria used are bibliometrics information and scientific social network analysis. Thus, the development of methods and tools to automate part of the evaluation or even to identify the importance of different metrics for the evaluation can both aid the evaluation process and serve as a guide for the researchers or groups that will be evaluated. In this work, tools were developed for performing automatically bibliometric and social networks analysis for the characterization and ranking of academic groups, as well as to investigate the relationship between different measures and some existing academic rankings. The tools were evaluated considering international departments and graduate programs in the Computer Science area. Our results showed which metrics contributed positively and negatively in the rank positioning of the programs.
File Format	PDF HTM / HTML
DOI	10.11606/D.100.2018.tde-17012018-193542
Alternate Webpage(s)	https://teses.usp.br/teses/disponiveis/100/100131/tde-17012018-193542/publico/dissertacaoleninVC.pdf
Alternate Webpage(s)	https://doi.org/10.11606/D.100.2018.tde-17012018-193542
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article