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2022-12-31
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NETWORK ANALYSIS TO SUPPORT PUBLIC HEALTH: EVOLUTION OF COLLABORATION AMONG LEISHMANIASIS RESEARCHERS
Author
Affilliation
Fundação Oswaldo Cruz. Centro de Desenvolvimento Tecnológico em Saúde. Instituto Nacional de Ciência e Tecnologia em Inovação em Doenças Negligenciadas. Rio de Janeiro, RJ, Brasil / Fundação Oswaldo Cruz. Fiocruz Brasília. Brasília, DF, Brasil.
Fundação Oswaldo Cruz. Centro de Desenvolvimento Tecnológico em Saúde. Instituto Nacional de Ciência e Tecnologia em Inovação em Doenças Negligenciadas. Rio de Janeiro, RJ, Brasil.
Computer Science, Rensselaer Polytechnic Institute. Troy, NY, USA.
Computer Science, Rensselaer Polytechnic Institute. Troy, NY, USA / Społeczna Akademia Nauk. Ło´dz´, Poland.
Fundação Oswaldo Cruz. Centro de Desenvolvimento Tecnológico em Saúde. Instituto Nacional de Ciência e Tecnologia em Inovação em Doenças Negligenciadas. Rio de Janeiro, RJ, Brasil.
Computer Science, Rensselaer Polytechnic Institute. Troy, NY, USA.
Computer Science, Rensselaer Polytechnic Institute. Troy, NY, USA / Społeczna Akademia Nauk. Ło´dz´, Poland.
Abstract
Databases on scientific publications are a well-known source for complex network
analysis. The present work focuses on tracking evolution of collaboration amongst
researchers on leishmaniasis, a neglected disease associated with poverty and very common
in Brazil, India and many other countries in Latin America, Asia and Africa. Using
SCOPUS and PubMed databases we have identified clusters of publications resulting from
research areas and collaboration between countries. Based on the collaboration patterns,
areas of research and their evolution over the past 35 years, we combined different
methods in order to understand evolution in science. The methods took into consideration
descriptive network analysis combined with lexical analysis of publications, and the collaboration
patterns represented by links in network structure. The methods used country of
the authors’ publications, MeSH terms, and the collaboration patterns in seven five-year
period collaboration network and publication networks snapshots as attributes. The results
show that network analysis metrics can bring evidences of evolution of collaboration
between different research groups within a specific research area and that those areas have
subnetworks that influence collaboration structures and focus.
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