How does Kaspa detect centralization risks in its network?

Kaspa's monitoring framework proactively identifies centralization risks through several key network indicators. Geographic concentration of peers, imbalance in cross-cluster bandwidth usage, and persistent connection failures from specific regions all serve as early warning signs that the network's distribution may be unhealthy. On top of that, Kaspa's consensus metrics track block submission patterns and tip hash distributions, which can reveal whether mining power is clustering in a specific geographic area. For a beginner, this matters because a well-distributed network is harder to attack or control — Kaspa's built-in monitoring helps keep the network honest before problems take hold.