Link Analysis and Relationship Mapping

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Introduction

Link analysis is a powerful technique for uncovering hidden relationships within insurance data. Fraud rarely occurs in isolation, and link analysis enables insurers to move beyond single-case review to identify coordinated or repeat behaviour.

As fraud becomes more organised, link analysis has become a core capability.

What Link Analysis Is

Link analysis examines relationships between entities such as:

  • People
  • Policies
  • Claims
  • Devices
  • Addresses
  • Suppliers

Rather than focusing on individual records, link analysis reveals how entities are connected across events and time.

Why Link Analysis Matters

Without link analysis:

  • Organised fraud remains fragmented
  • Repeat behaviour appears isolated
  • Investigators miss broader patterns

Link analysis allows insurers to identify networks, hubs, and recurring connections that indicate elevated risk.

Link Analysis in Practice

Modern link analysis uses graph-based models and visualisation tools to help investigators explore relationships quickly and intuitively.

Combined with entity resolution, link analysis ensures connections are accurate and meaningful rather than misleading.

Supporting Investigations and Prevention

Link analysis supports:

  • Early identification of fraud rings
  • Stronger evidence for investigations
  • Preventative controls targeting shared infrastructure

These insights allow insurers to address root causes rather than isolated symptoms.

Related Topics

Network analysis
Entity resolution
Fraud rings
Collusion detection