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    • Prestige: introducing measurable credibility for a DAO
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    • Archetypes
      • Defining an Organizational Type
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      • Deep-dive: Calculating current Parameters (p)
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      • Calculating normalized Participation Score (PS'')
      • Calculating normalized Prestige (P'')
      • Calculating the Contributor Archetype (a)
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      • Formulæ for γ & deep-dives
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  • ⚽Appendices & Playgrounds
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    • Prestige Playground
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  1. Prestige

Prestige for all edge cases

PreviousNormalization of pNextRelationship between Prestige & Archetype parameters

Last updated 2 months ago

Pn={P(n−1)×min(∑ΔK,c) if ∑ΔK≥1P(n−1)×max(∑ΔK,p⊖) if ∑ΔK<1\displaystyle\mathfrak{P}{\tiny n} = \begin{cases} \mathfrak{P}{\tiny (n-1)} \times min(\sum \Delta K, c) \text{ if } \sum \Delta K \ge 1 \\ \\ \mathfrak{P}{\tiny(n-1)} \times max(\sum \Delta K, p{\tiny \ominus}) \text{ if } \sum \Delta K < 1\end{cases}Pn=⎩⎨⎧​P(n−1)×min(∑ΔK,c) if ∑ΔK≥1P(n−1)×max(∑ΔK,p⊖) if ∑ΔK<1​

Where:

  • Pn\mathfrak {P}_{n}Pn​ is the Prestige of a community in the given period.

  • P(n−1)\mathfrak {P}_{(n-1)}P(n−1)​ is the Prestige of a community in the previous period.

  • c: constraint factor, just like in the , c controls the slope in P\mathfrak{P}P’s rate of change. It’s initially fixed at to 1.4 (40% growth), later customizable by the Hub itself.

  • p⊖p_{\tiny \ominus}p⊖​ is the penalty factor for Hubs inactive in a specific period. Same as in .

  • ∑ΔK\sum \Delta K∑ΔK is the sum of the rates of change of each individual parameter, between the current and the previous intervals.

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PS framework
Participation Score