sociophysics

name	sociophysics
description	Physics-inspired models of social systems
license	MIT
metadata	{"audience":"researchers","category":"interdisciplinary"}

What I do

• Apply statistical physics to social phenomena
• Model crowd behavior and opinion dynamics
• Analyze social networks using physics methods
• Simulate emergent social phenomena
• Predict collective behavior patterns

When to use me

When analyzing social systems, predicting crowd behavior, or studying emergent phenomena in large groups.

Key Concepts

Opinion Dynamics Models

Voter Model: Individuals adopt neighbors' opinions
Deffuant Model: Bounded confidence leads to convergence
Sznajd Model: Social validation influences spread

Crowd Dynamics

• Pedestrian flow modeling (helium model)
• Panic behavior in emergencies
• Evacuation dynamics
• Crowd turbulence prediction

Social Network Analysis

Physics-inspired metrics:
- Degree distribution (power laws)
- Clustering coefficients
- Betweenness centrality
- Community detection (spin models)

Phase Transitions

Social systems exhibit phase transitions:

• Consensus vs. polarization
• Order vs. chaos
• Cooperation vs. defection

Key Equations

# Bounded confidence model
if |opinion_i - opinion_j| < epsilon:
    opinion_i += mu * (opinion_j - opinion_i)

Applications

• Election predictions
• Viral marketing
• Information spread
• Social unrest prediction
• Traffic optimization