Polarization in social networks: a computational approach

• Grant number: 21/12456-5
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: December 01, 2022
• End date: December 04, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Francisco Aparecido Rodrigues
• Grantee: Ruben Interian Kovaliova
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID

Abstract

The current research project aims to construct mathematical and computational models in polarized social and interaction networks, using graph theory, complex network theory, and appropriate polarization measures. The main objective is to identify the relationships between network polarization and other phenomena that affect society, such as crises, violent conflicts, and the proliferation of inauthentic profiles. Specific objectives include the identification of fake accounts and their beneficiaries, the study of the relationship between network polarization and the proliferation of these fake profiles, the identification of structural characteristics of the most polarized groups (echo chambers), and the risks of their radicalization; and the construction of predictive models of conflict by monitoring the polarization of these groups.

Scientific publications

(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)

INTERIAN, RUBEN; CARPANESE, IGOR; MELLO, BRUNO; RIBEIRO, CELSO C.. Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification. International Transactions in Operational Research, v. N/A, p. 21-pg., 2023-05-25. (21/12456-5)