Characterization and modeling of casual groups in urban systems
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Modeling interacting social dynamics in complex networks
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| Author(s): |
Aruane Mello Pineda
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2023-12-04 |
| Examining board members: |
Francisco Aparecido Rodrigues;
Marcus Aloizio Martinez de Aguiar;
Pedro Luiz Ramos;
Michel Alexandre da Silva
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| Advisor: | Francisco Aparecido Rodrigues |
| Abstract | |
In this thesis, we investigate complex social dynamics and their relationship with information diffusion and polarization. In the first study, we apply machine learning algorithms to predict consensus time and the frequency of opinion changes in complex networks using the Q-voter model. We identify that the clustering coefficient (C) and information centrality (IC) are crucial factors for these predictions, emphasizing the importance of network structure in the dynamics of polarization and other patterns in social systems. In the second study, we explore how cultural heterogeneity impacts the spread of rumors in societies of interactive agents. We find that cultural heterogeneity can limit information diffusion in larger societies, resulting in a natural constraint on the spread of both true and false news. In both studies, understanding the complex interplay between network structure and social dynamics is essential, revealing how cultural heterogeneity and network topology play critical roles in information dissemination and opinion formation. These research findings contribute to a deeper understanding of the underlying mechanisms of polarization and dynamics in contemporary societies. It is worth noting that, in this thesis, as a result of our findings, which were related to Everett Rogers theory on innovations, the terms innovations, information, rumors, and gossip are used interchangeably. (AU) | |
| FAPESP's process: | 19/22277-0 - Modeling interacting social dynamics in complex networks |
| Grantee: | Aruane Mello Pineda |
| Support Opportunities: | Scholarships in Brazil - Doctorate |