Diego Raphael Amancio
Departament of Computer Science
Institute of Mathematics and Computer Science
University of São Paulo (USP)
São Carlos, São Paulo, Brazil
"Complex systems: features, similarity and connectivity".
Physics Reports, v. 861, p. 1-41, 2020.
"Clustering algorithms: a comparative approach."
PLoS ONE, 14(1) e0210236, 2019.
"A systematic comparison of supervised classifiers."
PLoS ONE, v. 9, p. e94137, 2014.
The emergence of language represents a fundamental breakthrough in the process of human evolution. Although language is ubiquitous, the underlying mechanisms of its organization remain indecipherable. Traditional approaches typically hinge on the study of basic statistical properties, disregarding the relationship between concepts. Recently, several language properties have been studied from the complex systems viewpoint, where language and its components are understood as a series of interconnected entities. In our research group, we treat texts as complex networks to study its properties from a structural standpoint. Applications include the study of the relationship between network topology modeling complex texts and qualitative aspects of texts, such as the quality of machine translations, authorship recognition and word sense analysis. I also conduct research devoted to the identification of textual patterns and their temporal evolution.