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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An image analysis approach to text analytics based on complex networks

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Author(s):
de Arruda, Henrique F. [1] ; Marinho, Vanessa Q. [1] ; Lima, Thales S. [1] ; Amancio, Diego R. [1, 2] ; Costa, Luciano da F. [3]
Total Authors: 5
Affiliation:
[1] Univ Sao Paulo, Inst Math & Comp Sci, Sao Paulo - Brazil
[2] Indiana Univ, Sch Informat Comp & Engn, Bloomington, IN 47408 - USA
[3] Univ Sao Paulo, Sao Carlos Inst Phys, Sao Paulo - Brazil
Total Affiliations: 3
Document type: Journal article
Source: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 510, p. 110-120, NOV 15 2018.
Web of Science Citations: 2
Abstract

Text network analysis has received increasing attention as a consequence of its wide range of applications. In this study, we extend a previous work founded on the study of topological features of mesoscopic networks. Here, the geometrical properties of visualized networks are quantified by using several image analysis techniques. Such properties are used to probe the networks characteristics in terms of authorship. It was found that the visual features account for performance similar to that achieved by using topological measurements. Also, we combined and compared the two types of features, topological and geometrical, and the results suggest that the information provided by network topology and image features are complementary. (C) 2018 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 15/05676-8 - Development of new models for authorship recognition using complex networks
Grantee:Vanessa Queiroz Marinho
Support type: Scholarships in Brazil - Master
FAPESP's process: 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery
Grantee:Roberto Marcondes Cesar Junior
Support type: Research Projects - Thematic Grants
FAPESP's process: 16/19069-9 - Using semantical information to classify texts modelled as complex networks
Grantee:Diego Raphael Amancio
Support type: Regular Research Grants
FAPESP's process: 11/50761-2 - Models and methods of e-Science for life and agricultural sciences
Grantee:Roberto Marcondes Cesar Junior
Support type: Research Projects - Thematic Grants