# Sociophysics

> Physics-inspired models of social systems

- Skill: `ffsshhttiikk/sociophysics` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ffsshhttiikk/sociophysics`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ffsshhttiikk/sociophysics/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: ffsshhttiikk (https://skillmd.com/u/ffsshhttiikk)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ffsshhttiikk/sociophysics

---


## 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
```python
# 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