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  • Framework Intro & Components
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    • The Participation Score
      • More about Expected Contributions
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    • Interactions, Tasks & Contributions - a context-agnostic standard.
    • Contribution Points
      • Calculating eCP and other dependent & independent params
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  • 🕹️Participation Score
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    • Core Parameters
    • Formulæ
    • Edge Cases
      • 1. The Private Island
      • 2. Cannibal Members
      • 3. The Ghost & the House on Fire
    • PS Formula for all Edge Cases
    • Conclusions
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    • Prestige: introducing measurable credibility for a DAO
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      • Deep-dive: Calculating current Parameters (p)
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      • Normalization of p
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      • Relationship between Prestige & Archetype parameters
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    • Use-cases & Conclusions
  • 🌎Peer Value
    • Initial Applications
    • Relationship between Participant, Hubs & Peer Value
    • Peer Value (v) as a directed graph
      • Calculating normalized Participation Score (PS'')
      • Calculating normalized Prestige (P'')
      • Calculating the Contributor Archetype (a)
    • The Peer archetype
      • Formulæ for α & deep-dives
      • Formulæ for β & deep-dives
      • Formulæ for γ & deep-dives
    • Conclusions & Initial Applications
  • ⚽Appendices & Playgrounds
    • PS Simulations
    • PS Playground
    • Prestige Simulations
    • Prestige Playground
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  1. Participation Score

PS Formula for all Edge Cases

From the previous Edge Cases we can extend the general formula to cover for those cases:

PSn={PS(n−1)if TCM=1PS(n−1)⋅p⊖if GC=0min(PS(n−1)⋅ΔP→,PS(n−1)⋅c)if ΔP→≥100max(PS(n−1)⋅ΔP→,PS(n−1)⋅p⊖)if ΔP→<100PS_{\tiny n} = \begin{cases} PS_{\tiny(n-1)} &\text{if } TCM = 1 \\ PS_{\tiny(n-1)} \cdot p_{\tiny \ominus} &\text{if } GC = 0 \\ min(PS_{\tiny(n-1)} \cdot \Delta \overrightarrow P, PS_{\tiny(n-1)} \cdot c) &\text{if } \Delta \overrightarrow P \ge 100 \\ max(PS_{\tiny(n-1)} \cdot \Delta \overrightarrow P, PS_{\tiny(n-1)} \cdot p_{\tiny \ominus}) &\text{if } \Delta \overrightarrow P < 100 \end{cases}PSn​=⎩⎨⎧​PS(n−1)​PS(n−1)​⋅p⊖​min(PS(n−1)​⋅ΔP,PS(n−1)​⋅c)max(PS(n−1)​⋅ΔP,PS(n−1)​⋅p⊖​)​if TCM=1if GC=0if ΔP≥100if ΔP<100​

Scenarios:

  • Case A: Addresses a Member who's GC=TCPGC = TCPGC=TCP (see Cannibal Member).

  • Case B: Applies if a Member was inactive during an entire period.

  • Case C: Applies if a Member is performing better than the previous period ( →P→n≥P→(n−1)\rightarrow \overrightarrow P_{\tiny n} \ge \overrightarrow P_{(\tiny n-1)}→Pn​≥P(n−1)​). By using c, the constraining factor, it ensures that PS cannot spike more than 40% higher from a period to the next.

  • Case D: Applies if a Member is underperforming respect to the previous period ( →P→n<P(n−1)\rightarrow \overrightarrow P_{\tiny n} < P_{(\tiny n-1)}→Pn​<P(n−1)​). By using p⊖p_{\tiny \ominus}p⊖​, the penalty factor, with p⊖=0.4p_{\tiny \ominus} = 0.4p⊖​=0.4, it ensures that PS cannot drop more than 40% lower from a period to the next.

These scenarios cover the vast majority of cases. Either way, soon after the V1 release, we’ll be adding additional coverage for edge-cases such as imprecise assignation of weights to internal community tasks.

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Last updated 11 months ago

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