Diego Raphael AmancioView Page
Collaborator - Previous Member - Professor
Diego is graduated in Computer Engineering with emphasis in Embedded Systems from University of São Paulo (2009).
The emergence of human language represents a fundamental breakthrough in the process of human evolution. Although language is present in almost all contexts, the underlying mechanisms of its organization remain indecipherable. Traditional approaches typically rely on the study of basic statistical properties, disregarding the relationship between concepts. Recently, languages and their applications have been studied from the viewpoint of complex systems where the language and its components are understood as a series of interconnected entities. We treat texts as complex networks so as to study the properties of languages from a structural standpoint. Applications include the study of the relationship between network topologies modeling complex texts, and qualitative aspects of texts such as the quality of machine translations, authorship recognition and word sense analysis. We also focus on research devoted to the identification of textual patterns and their temporal evolution.
Main research interests:
Diego Raphael Amancio
Corrêa Jr., E.A.; Silva, F.N.; Costa, L. da F. and Amancio, D.R.
Patterns of authors contribution in scientific manuscripts (preprint)
arXiv:1609.05545 [cs.DL] (Sep, 2016) p>
de Arruda, H.F.; Silva, F.N.; Marinho, V.Q.; Amancio, D.R. and Costa, L. da F.
Mesoscopic representation of texts as complex networks (preprint)
arXiv:1606.09636 [cs.CL] (Jun, 2016) p>
de Arruda, H.F.; Costa, L. da F. and Amancio, D.R.
Topic segmentation via community detection in complex networks
Chaos, v. 26, 063120. (Jun, 2016) p>
Comin, C.H.; Peron, T.K.DM.; Silva, F.N.; Amancio, D.R.; Rodrigues, F.A. and Costa, L. da F.
Complex systems: features, similarity and connectivity (preprint)
arXiv:1606.05400 [physics.soc-ph] (Jun, 2016) p>
Silva, F.N.; Amancio, D.R.; Bardosova, M.; Costa, L. da F. and Oliveira Jr, O.N.
Using network science and text analytics to produce surveys in a scientific topic
Journal of Informetrics v. 10, 2, p. 487-502 (May, 2016) p>