ffsshhttiikk 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