TL;DR
This study analyzes large-scale Twitter data from Spain's 15M movement to uncover complex, multi-frequency synchronization patterns and cross-scale interactions, revealing criticality and metastability in collective social behavior.
Contribution
It introduces a novel multi-scale analysis of crowd dynamics using wavelet transforms and Ising models, highlighting criticality and metastability in social synchronization.
Findings
All frequency bands operate near critical points.
Fast frequencies show all-or-none synchronization metastable states.
Slow frequencies exhibit diverse partial synchronization states.
Abstract
Crowd behaviour challenges our fundamental understanding of social phenomena. Involving complex interactions between multiple temporal and spatial scales of activity, its governing mechanisms defy conventional analysis. Using 1.5 million Twitter messages from the 15M movement in Spain as an example of multitudinous self-organization, we describe the coordination dynamics of the system measuring phase-locking statistics at different frequencies using wavelet transforms, identifying 8 frequency bands of entrained oscillations between 15 geographical nodes. Then we apply maximum entropy inference methods to describe Ising models capturing transient synchrony in our data at each frequency band. The models show that 1) all frequency bands of the system operate near critical points of their parameter space and 2) while fast frequencies present only a few metastable states displaying…
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