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The Brazilian Lattes Platform is an important academic/résumé data set that registers all academic activities of researchers associated with different major knowledge areas. The academic information collected in this data set is used to evaluate, analyze, and document the scientific production of research groups. Information about the interactions between B razilian researchers in the form of coauthorships, however, has not been analyzed. In this article, we identified and characterized B razilian academic coauthorship networks of researchers registered in the L attes P latform using topological properties of graphs. For this purpose, we explored (a) strategies to develop a large Lattes curricula vitae data set, (b) an algorithm for identifying automatic coauthorships based on bibliographic information, and (c) topological metrics to investigate interactions among researchers. This study characterized coauthorship networks to gain an in‐depth understanding of the network structures and dynamics (social behavior) among researchers in all available major B razilian knowledge areas. In this study, we evaluated information from a total of 1,131,912 researchers associated with the eight major B razilian knowledge areas: agricultural sciences; biological sciences; exact and earth sciences; humanities; applied social sciences; health sciences; engineering; and linguistics, letters, and arts.
Mena‐Chalco et al. (Wed,) studied this question.
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