Cryptocurrency Networks

Cryptocurrency Network Analysis

Research Lead: Prof. Jeffrey Chu & Prof. Yuanyuan Zhang Primary Focus: Network-based analysis of cryptocurrency markets

Research Overview

Cryptocurrency markets exhibit complex network dynamics that influence price behavior, volatility, and contagion. Our research applies graph-theoretic methods to understand these interconnected digital asset markets.

Key Research Areas

Market Network Transitions

How cryptocurrency correlation networks evolve during geopolitical events and market stress.

Geopolitical Impact Analysis

The role of regional conflicts in reshaping cryptocurrency market structures.

Safe Haven Properties

Evaluating cryptocurrency as a hedge during wartime and economic uncertainty.

Network Analysis Framework

Correlation Network Construction

Step 1: Return Calculation
- Log returns for each cryptocurrency
- Rolling window correlations
- Dynamic network snapshots

Step 2: Network Construction
- Nodes = cryptocurrencies
- Edges = correlation above threshold
- Edge weights = correlation strength

Step 3: Network Metrics
- Centrality measures
- Clustering coefficients
- Community detection

Key Metrics

Metric	Definition	Interpretation
Degree Centrality	Number of connections	Market influence
Betweenness	Bridge between communities	Contagion risk
Clustering	Local connectivity	Market segmentation
Modularity	Community structure	Asset groupings

Research: Regional Conflict Impact

The Russia-Ukraine War Case Study

Our research examines how the 2022 Russia-Ukraine conflict affected cryptocurrency network structures.

Pre-Conflict Network (Jan 2022)

Characteristic	Value
Average Degree	12.4
Clustering Coefficient	0.68
Number of Communities	3
Network Density	0.45

Post-Conflict Network (Mar 2022)

Characteristic	Value	Change
Average Degree	18.7	+51%
Clustering Coefficient	0.82	+21%
Number of Communities	2	-33%
Network Density	0.67	+49%

Key Findings

Increased Correlation: Cryptocurrencies became more interconnected during crisis
Reduced Diversification: Fewer distinct communities in the network
Bitcoin Centrality: Bitcoin’s role as network hub strengthened
Contagion Risk: Higher network density increased systemic risk

Research: Cryptocurrency in War

Dual Role Analysis

Humanitarian Aid Channel

Cryptocurrency donations to Ukraine exceeded $100M in 2022, bypassing traditional banking restrictions.

Sanctions Evasion Tool

Analysis of Russian-linked wallets suggests limited but concerning use for circumventing financial sanctions.

Policy Implications

Aspect	Benefit	Risk
Financial Access	Aid to conflict zones	Sanctions evasion
Transparency	Blockchain traceability	Privacy coins
Speed	Instant transfers	Regulatory lag
Decentralization	Censorship resistance	Enforcement challenges

Publications

Network Transitions in the Cryptocurrency Market: The Impact of Regional Conflicts

Zhang, Y., Chan, S., Lord, N., Chu, J., Yang, H., et al.

Physica A - Major Revisions

PDF

Cryptocurrency in War: A Double-Edged Sword?

Chu, J., Chan, S., Zhang, Y., & Lord, N.

Applied Economics Letters - In Press

DOI

Methodology Contributions

Network Analysis Techniques

Technique	Application
Minimum Spanning Tree	Identify core market structure
Planar Maximally Filtered Graph	Reduce noise in correlations
Dynamic Community Detection	Track market evolution
Granger Causality Networks	Identify lead-lag relationships

Software Tools

NetworkX for network construction
Python-Louvain for community detection
PyVis for interactive visualization

Data Sources

Source	Coverage	Frequency
CoinMarketCap	Top 100 cryptocurrencies	Daily
Binance API	Trading data	Minute-level
Blockchain.com	On-chain metrics	Daily
Glassnode	Advanced on-chain	Daily

Future Research

Real-Time Network Monitoring: Early warning systems for market stress
Multi-Layer Networks: Combining price, volume, and on-chain data
Cross-Asset Contagion: Links to traditional financial markets
DeFi Network Analysis: Decentralized finance protocol interactions