Use Cases

Supply Chain

Node-link diagrams transform supply chain complexity into actionable visibility:

• Supplier network mapping: Visualize the complete network of suppliers, manufacturers, distributors, and retailers. Identify single points of failure where one supplier serves multiple critical paths.
• Dependency analysis: Trace how components flow through the chain to understand upstream dependencies. When a disruption occurs, instantly see which products and customers are affected.
• Risk propagation: Model how delays or shortages cascade through the network. Highlight alternative suppliers or routes to build resilience.
• Logistics optimization: Map transportation routes and warehouse connections to identify bottlenecks and optimize flow.

Example: A manufacturing company maps its multi-tier supplier network, discovering that three seemingly independent product lines all depend on the same raw material source in a high-risk region.

Security & Intelligence

In security and intelligence contexts, node-link diagrams reveal hidden connections:

• Threat actor networks: Map relationships between individuals, organizations, communication channels, and events. Uncover command structures and identify key operatives.
• Financial crime detection: Trace money flows through shell companies and accounts. Visualize complex transaction chains to expose money laundering patterns.
• Cyber threat analysis: Connect malware samples, attack vectors, compromised systems, and threat actors. Understand attack campaigns and attribution.
• Entity resolution: Link fragmented identities across data sources. See how aliases, accounts, and activities connect to reveal true identities.

Example: An intelligence analyst connects intercepted communications, travel records, and financial transactions to reveal a previously unknown cell structure and its funding sources.

Health & Personalized Medicine

Node-link diagrams unlock insights for patient care and medical research:

• Patient journey mapping: Visualize a patient's complete care pathway—doctors, facilities, treatments, and outcomes. Identify gaps in care or opportunities for intervention.
• Disease transmission networks: Track how infections spread through populations. Identify super-spreaders and high-risk contact patterns for targeted intervention.
• Drug interaction networks: Map relationships between medications, conditions, and adverse effects. Ensure safe prescriptions by visualizing potential conflicts.
• Genomic and pathway analysis: Explore gene regulatory networks and protein interactions. Understand how mutations propagate through biological pathways to inform personalized treatment.

Example: A care coordinator views a patient's network of specialists, discovering that two doctors are prescribing conflicting medications because they weren't aware of each other's treatments.