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IntermediateAnalytical Techniques
15 min

Network Analysis

Understanding relationships, power dynamics, and hidden structures through graph theory

It's not what you know — it's who they know. And who those people know.

🐙
The Web(Octopus)

"Welcome, analyst. Networks are everywhere — criminal cells, corporate boards, terrorist finance flows. I see the connections. Now it's your turn. Try not to get tangled."

Mission Briefing

Every intelligence problem is, at some level, a network problem. A terrorist cell is a network. A drug trafficking route is a network. A money laundering scheme is a network. Understanding who is connected to whom — and what those connections mean — is one of the most powerful analytical tools at your disposal. In this lesson, you will learn the fundamentals of network analysis, the key measures that reveal hidden power structures, and how to read a network chart like an operational picture.

Translation: by the end of this lesson you will be professionally nosy about who talks to whom.

Field Exercise: Map the Cell

You have intercepted the following communication records from a suspected human trafficking network over a 48-hour period. Draw the network (on paper or in your head) and answer the questions below.

Person A → Person B: 12 calls
Person B → Person C: 7 calls
Person C → Person A: 1 call
Person D → Person B: 4 calls
Person E → Person D: 2 calls
Person F → Person A: 1 call
Person A → Person F: 0 calls
Person D → Person E: 0 calls

Questions:

  1. Who has the highest degree centrality?
  2. Who has the highest betweenness centrality? (Hint: who connects the separate clusters?)
  3. If you had to arrest exactly one person to disrupt the network, who would it be and why?
  4. What does the asymmetric call pattern between A and F tell you?

Debrief — Key Takeaways

  • ›Networks consist of nodes (entities) and edges (relationships) — the basic vocabulary of every link analysis.
  • ›Degree centrality counts connections; betweenness centrality reveals gatekeepers and brokers who control information flow.
  • ›Closeness centrality identifies who can act fastest; eigenvector centrality reveals who is connected to power.
  • ›High betweenness individuals are typically the highest-value targets — removal fragments the network.
  • ›Clusters represent operational compartments; isolates are entry points; brokers are the structural glue.
  • ›Use directed edges when direction conveys information (calls, money, command) — never flatten asymmetry into undirected lines.

TL;DR: Draw circles, add arrows, find the gatekeeper, disrupt everything. You now have a new superpower. Wear it responsibly.

Next Mission
Entity Relationship Charts
Take network analysis to the next level by building detailed entity relationship charts for complex cases