4.2 Value Consensus Algorithm and Star Map

Value Consensus Algorithm

The regional consensus network calculates the value consensus rewards that each participant should receive through a precise mathematical model. The core formula is: User Consensus Reward = ∑(Regional Resonance Returns × Corresponding Regional Consensus Ratio)

This algorithm ensures the following characteristics:

• Proportionality between value contribution and return: Greater network contributions bring greater consensus rewards • Incentive for diverse participation: Encourages participants to establish value flows in multiple regions • Natural expansion dynamics: Forms an inherent driving force for continuous network expansion • Balanced development guidance: Guides balanced network development through regional weight design

Consensus Star Map: Network Visualization

The regional consensus network provides each participant with an intuitive "Consensus Star Map," an advanced data visualization tool that enables participants to clearly see:

• Value flow paths: How values flow within the network • Regional activity: Activity levels and performance of various regions • Consensus potential: Value consensus opportunities not fully activated • Temporal dynamics: Network evolution trends over time

The Consensus Star Map is not only an information display tool but also a decision support system that helps participants make wiser network construction decisions.