Measuring Blockchain Decentralization with the Nakamoto Coefficient

The Nakamoto Coefficient is a mathematical framework used to quantify the decentralization of blockchain networks. It estimates the minimum number of independent entities required to disrupt or control a network, providing a more accurate measure than raw participant counts.

Developed as part of a 2017 framework for quantifying decentralization, the Nakamoto Coefficient has gained popularity in recent years due to its ability to identify potential weaknesses in blockchain networks. By analyzing the concentration of power within a network, users can better evaluate its resilience and trustworthiness.

The coefficient works by ranking participants by their share of control and identifying the minimum number required to reach a critical threshold. This threshold varies depending on the system being measured, with proof-of-work networks typically using a 51% threshold and proof-of-stake networks using thresholds such as one-third or two-thirds.

A high Nakamoto Coefficient generally indicates stronger decentralization, making it more difficult for a small group of actors to control the network. Conversely, a low coefficient reveals capture risk and censorship risk, highlighting potential weaknesses in the network's design.