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| Format: | Artículo científico |
| Language: | en |
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Universidade Federal do Rio Grande do Sul
2015
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| Online Access: | https://www.redalyc.org/articulo.oa?id=465645967008 |
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Table of Contents:
- A method for the identification of collaboration in large scientific databases Thiago Magela Rodrigues Dias Gray Farias Moita Ciencias de la Información Integration Information retrieval Identification of collaboration The analysis of scientific collaboration networks has contributed significantly to improve the understanding of the collaboration process between researchers. Additionally, it has helped to understand how scientific productions by researchers and research groups evolve. However, the identification of collaborations in large scientific databases is not a trivial task, given the high computational cost of the prevalent methods. This paper proposes a method for identifying collaborations in large scientific databases, namely, ISColl – Identification of Scientific Collaboration. Unlike methods that use techniques such as exhaustive comparisons of publication pairs, the proposed method produces satisfactory results with a low computational cost, thus providing an interesting alternative for the modelling and characterization of large scientific collaboration networks. To demonstrate the potential of the proposed technique, tests were conducted using scientific publications data registered in the Lattes Platform of CNPq, with the obtained results yielding excellent accuracy during the identification of scientific collaborations. 2015 artículo científico 1807-8893 https://www.redalyc.org/articulo.oa?id=465645967008 en http://www.redalyc.org/revista.oa?id=4656 Em Questão application/pdf Universidade Federal do Rio Grande do Sul Em Questão (Brasil) Num.2 Vol.21