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Analysis of Opinion Dynamics in Terms of Structure and Dynamics of Complex Networks

Grant number: 19/16223-5
Support type:Scholarships abroad - Research Internship - Post-doctor
Effective date (Start): October 17, 2019
Effective date (End): October 16, 2020
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computational Mathematics
Principal researcher:Luciano da Fontoura Costa
Grantee:Henrique Ferraz de Arruda
Supervisor abroad: Yamir Moreno Vega
Home Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Research place: Universidad de Zaragoza, Spain  
Associated to the scholarship:18/10489-0 - Transformations of complex networks and their implication in topology and dynamics of complex systems, BP.PD

Abstract

Many different types of dynamics have been studied in network science. Among the dynamics that consider social networks, one crucial subject consists of opinion dynamics. Different approaches consider specific characteristics of the interaction between people. For example, there are models devoted to the formation of echo chambers, also known as social bubbles. Interestingly, some of those characteristics can be found in real systems, such as social networks. Here, we propose the study of these dynamics focusing on the alterations of the topology of the network. More specifically, we intend to analyze the changes in the topology that are induced by a given dynamics that give rise to echo chambers. A particularly important characteristic of the topologies is the presence of communities, which are groups of nodes that are more connected between them, them with the rest of the network. Methodologizelly, in this project, we intend to consider two possibilities of analysis, the temporal evolution and the stationary state of the dynamics.

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Scientific publications (5)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
TOKUDA, ERIC K.; DE ARRUDA, HENRIQUE F.; COMIN, CESAR H.; JR, ROBERTO M. CESAR; SILVA, CLAUDIO T.; COSTA, LUCIANO DA F. Spatial distribution of graffiti types: a complex network approach. European Physical Journal B, v. 94, n. 9 SEP 2021. Web of Science Citations: 0.
GEWERS, FELIPE L.; FERREIRA, GUSTAVO R.; DE ARRUDA, HENRIQUE F.; SILVA, FILIPI N.; COMIN, CESAR H.; AMANCIO, DIEGO R.; COSTA, LUCIANO DA F. Principal Component Analysis: A Natural Approach to Data Exploration. ACM COMPUTING SURVEYS, v. 54, n. 4 JUL 2021. Web of Science Citations: 1.
BRITO, ANA C. M.; SILVA, FILIPI N.; DE ARRUDA, HENRIQUE F.; COMIN, CESAR H.; AMANCIO, DIEGO R.; COSTA, LUCIANO DA F. Classification of abrupt changes along viewing profiles of scientific articles. Journal of Informetrics, v. 15, n. 2 MAY 2021. Web of Science Citations: 0.
CERIBELI, CAROLINE; FERRAZ DE ARRUDA, HENRIQUE; DA FONTOURA COSTA, LUCIANO. How coupled are capillary electrophoresis and mass spectrometry?. SCIENTOMETRICS, MAR 2021. Web of Science Citations: 0.
COSTA, LUCIANO DA FONTOURA; DE ARRUDA, HENRIQUE FERRAZ. Syntonets: toward a harmony-inspired general model of complex networks. European Physical Journal B, v. 93, n. 12 DEC 7 2020. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.