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The Cost of Missing Critical Connections in Data: Suspicious Behavior Detection using Link Analysis

January 9, 2026
Urmi Majumder Kyle Garcia

Graph-powered link analysis, combined with natural language processing (NLP), offers a powerful approach to identifying complex patterns and trends within extensive and complex datasets, especially unstructured data like emails, documents, and social media. By modeling data as interconnected entities and relationships, link analysis reveals hidden connections and supports various applications such as fraud detection, risk mitigation, and network analysis.

At Text Analytics Forum 2025, Urmi Majumder and Kyle Garcia of Enterprise Knowledge discussed this domain of link analysis and its underlying graph technology using a case study in which EK helped a national agency implement a link analysis solution for suspicious behavior detection. 

Participants in this session were able to:

  • Learn the range of applications of a link analysis solution across multiple domains;
  • Gain practical knowledge of building a modular, cost-effective, and enterprise-integrable, end-to-end link analysis solution;
  • Discover how graph data modeling enables pattern recognition and learn crucial aspects of graph model development, and;
  • Learn to design, architect, and implement effective solutions using best practices for scalable linked data analysis.

Slide Deck

Urmi Majumder Urmi Majumder is a Principal Consultant and hands-on architect with broad experience across many areas of technology including semantic data engineering, machine learning, application development, databases, search engines, analytics, infrastructure, DevOps and security. She has deep expertise in knowledge graphs, enterprise AI, application architecture, design and development, relational databases, Lucene-based search engines, large scale computing solutions and AWS. She is passionate about problem solving, irrespective of the domain. More from Urmi Majumder »
Kyle Garcia Kyle Garcia is a Senior Technical Analyst at EK and part of the Semantic Engineering and Enterprise AI Practice. Kyle is experienced in data engineering, semantic technologies, and applying large language models (LLMs) to real-world business challenges. A published thought leader in AI, Kyle is passionate about integrating generative AI, data science and engineering, and machine learning into the field of knowledge management. More from Kyle Garcia »