1. Self-reinforcing cascades: A spreading model for beliefs or products of varying intensity or quality
- Author
-
Hébert-Dufresne, Laurent, Lovato, Juniper, Burgio, Giulio, Gleeson, James P., Redner, S., and Krapivsky, P. L.
- Subjects
Physics - Physics and Society ,Computer Science - Social and Information Networks - Abstract
Models of how things spread often assume that transmission mechanisms are fixed over time. However, social contagions--the spread of ideas, beliefs, innovations--can lose or gain in momentum as they spread: ideas can get reinforced, beliefs strengthened, products refined. We study the impacts of such self-reinforcement mechanisms in cascade dynamics. We use different mathematical modeling techniques to capture the recursive, yet changing nature of the process. We find a critical regime with a range of power-law cascade size distributions with varying scaling exponents. This regime clashes with classic models, where criticality requires fine tuning at a precise critical point. Self-reinforced cascades produce critical-like behavior over a wide range of parameters, which may help explain the ubiquity of power-law distributions in empirical social data.
- Published
- 2024