Reputation Data Types

These represent reputation libraries that can be accessed by any application building on our fabric. Here is an initial list that will expand as use cases emerge

Reputation data types are the smallest tangible building blocks that comprise the reputation economy. The may serve as inputs to mathematical computations, resulting in Reputation Scores, which agents may psychologically relate to better.

While 'Porting Reputation' across contexts, applications are given access to reputation data across apps. Reputation Scores are then calculated locally, as explained in subsequent sections.

Reputation Data can be classified into two broad categories given below

Objective Reputation Data Types

Objective Data (associated with a user)

Numeric Value

Mathematical Operations

Associations (if any)

Links (if any)

Timestamps

Date/Time

+ - < >

With any data type

Un (For/By)

An (Within)

Fulfillment : delivery, payments

0, postive integers

+ - / * < >

With contractual obligations of any kind

Un (By and towards)

An (Within)

Posts/Comments/Blogs

0, positive integers

+ - / * < >

‚Äč

Un (By)

An (Within)

Intentions Fulfilled

T/F

+ - / * < >

With contractual obligations and their fulfillment

Un (By)

An (Within)

Subjective Reputation Data Types

Subjective Ratings (received by a user)

Numeric Value

Mathematical Operations

Associations (if any)

Links (If Any)

Positive Singular Validation (Likes/Hearts)

0 or 1

+ - / * < >

Objective data of any type

Un (From and Towards)

An (Within)

Positive/Negative Singular Validation (Upvotes/Downvotes)

+1/0/-1

+ - / * < >

Objective data of any type

Un (From and Towards)

An (Within)

Positive Multiple Validation (Claps/Applause)

Whole Nos

+ - / * < >

Objective data of any type

Un (From and Towards)

An (Within)

Scaled Rating

Whole Nos

+ - / * < >

Objective data of any type

Un (From and Towards)

An (Within)

Emoji Rating

-2/-1/0/1/2

+ - / * < >

Objective data of any type

Un (From and Towards)

An (Within)