Reputation Data
Compiled as reputation libraries that can be accessed by any micro-app or neighbourhood building on our fabric.
Reputation data types are the smallest tangible building blocks that comprise the reputation economy. The serve as inputs to mathematical computations, resulting in Reputation Scores, which agents may psychologically relate to better.
Agents, hold 'agency' over reputation data. When entering a new network or neighbourhood, they may be asked to expose reputation data from another context. Their consent allows for reputation data to be 'ported'. Reputation Scores are then calculated locally, as explained in subsequent sections. Porting of reputation occurs through 'memetic bridges', which will also be explained later.
The result is a fragmented, contextual snapshot of reputation that can be used to convey more nuance bits of information.
Reputation Data can be classified into two broad categories given below
Objective Reputation Data Types
Subjective Reputation Data Types
Reputation data is compiled as reputation libraries that can be accessed by any micro-app or neighbourhood building on our fabric. Examples of such libraries can be found on our Github repo.
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