Networks

Networks model entities and selected relationships as nodes and edges. Degree, clustering, paths, and centrality summarize different structural features whose consequences depend on the process, edge meanings, and node behavior.

A network represents selected entities as nodes and selected relationships as edges. The modeling choice matters before any calculation: a friendship edge, a payment edge, and a prerequisite edge support different questions. Record whether edges have direction, weight, capacity, or time limits, and distinguish missing information from an observed absence of connection.

Network measures summarize different structural features. Degree counts direct neighbors, a path links nodes through successive edges, and different centralities describe different notions of position. These measures become useful when tied to a process and outcome. A bridge can provide access while also creating workload or dependency; no position is universally most valuable.

When to use it

When understanding how information flows (or doesn't flow) through a system; when network position determines influence and access to opportunities; when system resilience depends on network architecture; when the strategic value of network bridging positions needs assessment.

How it can help

Define the relevant relationship and map its structure, including uncertainty. Analyze task-specific paths, bridges, capacities, and alternatives without equating contact count with influence or assuming one network position is always best.