ARCHITECTURE

Table of Content

Table of Content

Table of Content

Vibin' Reputation Scoring

The system that tracks and scores user contributions to ensure trusted data interactions.

Each participant in the Vibin’ network is assigned a reputation score based on the quality and reliability of their activity within the platform, especially around referrals and engagement.

Key Characteristics

Completeness: Measures whether the participant’s referrals or activities fulfill all necessary criteria to qualify for rewards (e.g., fully completed sign-ups or transactions).
Consistency: Evaluates how regularly and uniformly the participant contributes over time (e.g., steady referral activity rather than one-time bursts).
Timeliness: Assesses whether referrals or actions happen within an expected timeframe (e.g., referrals completed promptly to qualify for bonuses).
Availability: Represents the participant’s ongoing participation and responsiveness within the network (e.g., maintaining active status, responding to communications).

Reputation Score Formula

The overall reputation score, denoted as ( R ), is calculated as a weighted sum of these characteristics:

R = wC * C + wN * N + wT * T + wA * A

Where:

❃ ( C ) = Completeness.
❃ ( N ) = Consistency.
❃ ( T ) = Timeliness.
❃ ( A ) = Availability.

And the weights satisfy:

wC + wN + wT + wA = 1

Weight Allocation

❃ Completeness ( wC ) is prioritized, as accurate and fully completed referrals are crucial.
❃ The other weights ( wN, wT, wA ) are dynamically adjusted based on participant behavior trends to fairly represent ongoing engagement.

This reputation score influences reward multipliers, eligibility for special bonuses (like the AI Referral NFT boost) and participation in exclusive network features.

Note: This model evolves with the platform to balance fairness and incentivize active, quality participation.