Wikidata Knowledge Imbalance DashboardAlphaThis tool can measure knowledge imbalances on Wikidata using the Gini index based on property existence over entities
Input the class ID (required)
Leave empty, or Input multiple property IDs
Why?The Gini coefficient has been used to show the imbalance of certain domains of interest, such as inequality of income within a single country and the inequality of contributions of Wikipedia users.
How?The properties of each entity of the class is counted then sorted in an ascending order, which then gets accumulated from the smallest value to the largest. The Gini coefficient is the blue area which is the distance between the line of equality (orange) and the lorenz curve (dark green).
Gini Coefficient = 0.235Imbalanced
Examples:
Human - Q5
This is an example of a class with a medium Gini coefficient.
A class is considered to be imbalanced when its Gini coefficient is between 0.2 and 0.4.
This example is unbounded and considers all properties of each entity to calculate the imbalance of the class. Read more about this example...