Investigating the Potential of Data from an Academic Social Network (GPS)

João Lourenço Marques, Giorgia Bressan, Carlos Santos, Luís Pedro, David Marçal, Rui Raposo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There are several references in the literature highlighting the importance of the international scientific mobility studies and several examples of how this academic population has been characterized. Typically, the analysis of academic mobility has been conducted by applying extensive surveys to a “representative” sample, in a specific moment in time, in which the profile of the researchers, that are working or studying in a foreign country, is then inferred. These analyses may suffer of structural lack of representativeness since the target population is unknown. As a structural and inherent issue in this research field, this article presents the results provided by the Portuguese academic social network GPS (Global Portuguese Scientists). It uses a valuable and exclusive data set of the research experiences, provided by Portuguese researchers, to describe and understand the academic dynamic of these researchers over the last years. The analysis considers different socio-demographic characteristics and the type of research (position, scientific research area, duration of the experience) they have been doing. The analysis shows that GPS users are pulled to the core countries of the science world system and points out that each destination of the Portuguese diaspora is associated with specific features of the mobile researchers and their research activity.

Original languageEnglish
Title of host publicationComputational Science and Its Applications
Subtitle of host publicationICCSA 2020 - 20th International Conference, Proceedings
EditorsOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blecic, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Yeliz Karaca
Place of PublicationBerlim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages760-775
Number of pages16
ISBN (Electronic)978-3-030-58799-4
ISBN (Print)978-3-030-58798-7
DOIs
Publication statusPublished - 2020
Event20th International Conference on Computational Science and Its Applications, ICCSA 2020 - Cagliari, Italy
Duration: 1 Jul 20204 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12249 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Computational Science and Its Applications, ICCSA 2020
CountryItaly
CityCagliari
Period1/07/204/07/20

Keywords

  • Academic social network
  • Career path
  • Data collection
  • Empirical research
  • International scientific mobility
  • Mobile Portuguese Researchers

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