In this study, loop expansion and series cutting functions are discussed in the context of local potential approximation to analyze social interactions. The application of theoretical physics methods to understand filter bubble phenomena is explored. Loop expansion helps illustrate the complexity of social interactions, while truncation techniques manage computational complexity. Theoretical frameworks like spin glass theory and Edwards-Anderson models are used to model interactions between agents. Green functions are employed to capture dynamic responses through local potential approximations. The impact of information bias and echo chamber effects on opinion formation is examined using replica symmetry breaking analysis. Applications in digital society include modeling opinion propagation, simplifying complex interactions, and analyzing discourse flow.
To Another Language
from source content
arxiv.org
Key Insights Distilled From
by Yasuko Kawah... at arxiv.org 03-15-2024
https://arxiv.org/pdf/2403.08774.pdfDeeper Inquiries