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GC-601 · Professional course

Link Analysis, Network Intelligence and Criminal Structure Mapping

Financial crime and organised criminal activity frequently involve interconnected individuals, companies, accounts, transactions, intermediaries, assets and jurisdictions.

5 days Classroom, online or in-house QR-verified certificate Next intake 19 Oct 2026

Course overview

Financial crime and organised criminal activity frequently involve interconnected individuals, companies, accounts, transactions, intermediaries, assets and jurisdictions. Examining these elements independently may obscure the relationships and structures that enable illicit activity. Link analysis and network intelligence provide structured methods for identifying, analysing and visualising these relationships.

This five-day programme provides practical techniques for developing link analysis, network intelligence and criminal structure maps from financial, corporate, transactional, investigative and open-source information. Participants will learn how to identify entities and relationships, construct analytical networks, assess roles and connections, identify central actors and facilitators, trace financial and organisational relationships, and convert complex networks into clear intelligence products.

The course also addresses analytical quality, source evaluation, uncertainty, network interpretation and effective visual communication to ensure that network products support intelligence-led investigations and decision-making.

What you will be able to do

  • Explain the principles and applications of link and network analysis
  • Identify persons, entities, accounts, transactions, assets and other relevant nodes
  • Identify and assess relationships and connections between entities
  • Develop structured link-analysis frameworks
  • Analyse financial, corporate and criminal networks
  • Identify key actors, facilitators, intermediaries and associated entities
  • Distinguish direct, indirect and inferred relationships
  • Analyse ownership, control and beneficial ownership structures
  • Map transactional and financial relationships
  • Identify network clusters, hubs and patterns of association
  • Develop criminal structure and financial-flow maps
  • Integrate information from multiple intelligence sources
  • Apply appropriate analytical caveats and confidence assessments
  • Produce professional network visualisations and intelligence products

Who should attend

  • Financial intelligence analysts
  • Operational and strategic intelligence analysts
  • Financial investigators
  • AML/CFT/CPF professionals
  • Law enforcement intelligence personnel
  • Fraud investigators
  • Forensic accountants
  • Asset tracing and recovery practitioners
  • Corporate intelligence professionals
  • Regulators and supervisory authorities
  • Security and intelligence practitioners
  • Compliance and risk professionals

Course outline

Day 1Foundations of Link and Network Analysis

Understanding Networks

  • Concepts of link analysis
  • Network intelligence fundamentals
  • Nodes, links and attributes
  • Direct and indirect relationships
  • Static versus dynamic networks
  • Financial and criminal networks
  • Organisational and transactional networks

Identifying Relationships

  • Person-to-person relationships
  • Person-to-company relationships
  • Company-to-company relationships
  • Account relationships
  • Transaction relationships
  • Asset relationships
  • Geographic and jurisdictional connections
  • Professional and intermediary relationships

Intelligence Data for Network Analysis

  • Financial intelligence
  • Corporate records
  • Transactional information
  • Regulatory information
  • Investigative information
  • Open-source information
  • Intelligence reports
  • Source evaluation and reliability
Practical exerciseConstructing a basic relationship map from a simulated financial intelligence dataset.
Day 2Financial and Corporate Network Analysis

Financial Link Analysis

  • Account-to-account relationships
  • Transaction chains
  • Flow-of-funds relationships
  • Common counterparties
  • Shared identifiers
  • Shared assets and financial interests
  • Transactional associations

Corporate and Ownership Networks

  • Company ownership structures
  • Directors and shareholders
  • Beneficial ownership
  • Control relationships
  • Common ownership
  • Related companies
  • Nominee and intermediary relationships
  • Corporate layering

Network Expansion Techniques

  • Identifying first- and second-degree relationships
  • Association mapping
  • Common-attribute analysis
  • Relationship discovery
  • Network expansion
  • Identifying analytical gaps
  • Prioritising relationships for further examination
Practical exerciseDeveloping a corporate and financial network around a target entity.
Day 3Criminal Network and Structural Analysis

Criminal Network Structures

  • Hierarchical networks
  • Distributed networks
  • Facilitation networks
  • Professional enablers
  • Broker and intermediary structures
  • Front and shell companies
  • Cross-border networks

Network Roles and Functions

  • Principal actors
  • Beneficial owners
  • Controllers
  • Financial facilitators
  • Intermediaries
  • Professional service providers
  • Asset holders
  • Operational actors

Advanced Network Analysis

  • Network centrality concepts
  • Hubs and connectors
  • Clusters and communities
  • Relationship strength
  • Network density
  • Bridge entities
  • Network vulnerabilities
  • Identifying priority nodes
Practical exerciseMapping and analysing a simulated organised financial-crime network.
Day 4Network Visualisation and Intelligence Analysis

Building Intelligence Network Maps

  • Analytical mapping principles
  • Selecting relevant relationships
  • Network layout
  • Entity classification
  • Relationship labelling
  • Financial-flow mapping
  • Ownership mapping
  • Timeline integration

Combining Networks

  • Financial and corporate networks
  • Person and entity networks
  • Transaction and communication relationships
  • Geographic networks
  • Cross-border connections
  • Multi-source intelligence integration

Interpreting Complex Networks

  • Identifying significant relationships
  • Distinguishing association from evidence
  • Alternative explanations
  • Analytical assumptions
  • Confidence assessment
  • Information gaps
  • Intelligence leads
Practical exerciseDeveloping a comprehensive criminal structure map and analytical assessment.
Day 5Intelligence Production and Capstone

Network Intelligence Reporting

  • Explaining complex networks
  • Network summaries
  • Key actors and relationships
  • Financial-flow narratives
  • Ownership/control findings
  • Intelligence implications
  • Analytical caveats

Presenting Network Intelligence

  • Executive network charts
  • Investigative diagrams
  • Relationship matrices
  • Timeline visualisation
  • Financial-flow diagrams
  • Briefing complex networks to decision-makers

Capstone Exercise

  • Participants will analyse a complex simulated case involving persons, companies, accounts, transactions and assets
  • The exercise will require participants to:
  • Identify relevant entities
  • Establish relationships
  • Expand the network
  • Analyse financial and corporate connections
  • Identify key actors and facilitators
  • Map ownership and control
  • Trace relevant financial relationships
  • Develop a criminal structure map
  • Identify intelligence gaps and leads
  • Produce and brief a network intelligence product

Course outcome

Participants will acquire practical capability to transform fragmented information into structured network intelligence, enabling clearer understanding of relationships, financial flows, ownership structures, criminal organisations and potential facilitators.

Dates & fees

Full training calendar

Fees are per participant in US dollars and cover tuition, course materials and your certificate. Travel and accommodation are not included.

19Oct

Pretoria, South Africa

GC-601 Guaranteed to run
19–23 Oct 2026 · 5 days
USD 1,500per participant · 5 days
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19Oct

Pretoria, South Africa

GC-601 Guaranteed to run
19–30 Oct 2026 · 10 days
USD 3,000per participant · 10 days
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26Oct

Nairobi, Kenya

GC-601 Guaranteed to run
26–30 Oct 2026 · 5 days
USD 1,500per participant · 5 days
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02Nov

Nairobi, Kenya

GC-601 Guaranteed to run
2–6 Nov 2026 · 5 days
USD 1,500per participant · 5 days
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02Nov

Mombasa, Kenya

GC-601 Guaranteed to run
2–13 Nov 2026 · 10 days
USD 3,000per participant · 10 days
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09Nov

Mombasa, Kenya

GC-601 Guaranteed to run
9–13 Nov 2026 · 5 days
USD 1,500per participant · 5 days
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16Nov

Kampala, Uganda

GC-601 Guaranteed to run
16–20 Nov 2026 · 5 days
USD 1,500per participant · 5 days
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16Nov

Kampala, Uganda

GC-601 Guaranteed to run
16–27 Nov 2026 · 10 days
USD 3,000per participant · 10 days
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