Network analysis is a technique used to identify and analyze connections between traders, accounts, and other entities in financial markets. It involves examining relationships, patterns, and flows of information, trades, or funds to uncover potential risks, fraud, or market manipulation. Network analysis can help:

1. Detect collusive behavior

2. Identify suspicious trading activity

3. Uncover hidden relationships or ownership structures

4. Map trading networks and clusters

5. Reveal potential conflicts of interest

Techniques used in network analysis include:

1. Social network analysis

2. Graph theory

3. Machine learning algorithms

4. Data visualization

5. Entity recognition and linking

Network analysis can be applied to various financial markets, including:

1. Equities

2. Derivatives

3. Cryptocurrencies

4. Forex

By analyzing connections and relationships, network analysis can help regulators, law enforcement, and financial institutions prevent and investigate financial crimes, maintain market integrity, and protect investors.