IDEAS home Printed from https://ideas.repec.org/a/prm/awjrnl/v2y2021pe024.html

Scientific collaboration analysis of Brazilian postgraduate programs in information science

Author

Listed:
  • da Silva Justino, Thais

    (Universidade Federal de São Carlos, Brasil)

  • Morato do Amaral, Roniberto

    (Universidade Federal de São Carlos, Brasil.)

  • Lopes de Faria, Leandro Innocentini

    (Universidade Federal de São Carlos, Brasil)

  • Cardoso de Brito, Aline Grasiele

    (Claretiano - Rede de Educação, São Paulo, SP, Brasil.)

Abstract

Due to the growing interest in metric studies on the scientific collaboration of national postgraduate studies, together with the theoretical and applied bases of Information Science supported by metric studies of information, it became relevant to identify how scientific collaborations occur in postgraduate programs in Information Science. The research method included the use of bibliometrics and social network analysis as an information analysis technique. The sample involved 519 articles from 421 permanent professors working in 27 Postgraduate Programs (PP), from 2013 to 2018. The results achieved included the elaboration of a set of indicators that denote scientific collaboration activities; In short, interpersonal relations networks are relevant to the internationalization of the Information Science area, and internationalization is fundamental for the development of programs. It was concluded that the results achieved can contribute to the improvement of the PPG and the National Postgraduate System, by maximizing the understanding of collaboration in Information Science.

Suggested Citation

Handle: RePEc:prm:awjrnl:v:2:y:2021:p:e024
as

Download full text from publisher

File URL: https://awari.pro-metrics.org/index.php/a/article/download/15/12
Download Restriction: no
---><---

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:prm:awjrnl:v:2:y:2021:p:e024. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pro-Metrics Editorial Office (email available below). General contact details of provider: https://awari.pro-metrics.org/index.php/a .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.