A criterion is used to indicate the proximity of the current grouping of vertices (communities) to the optimum one.
A named list with the names of the available CRITERION:
Theoretically, the bigger the value returned by the criterion, the closer the current grouping is to the best possible grouping.
Each CRITERION internally defines two functions. One is used to evaluate if moving a vertex from one group (community) to another possibly yields a better overall result. The other is used to measure the actual overall quality of the entire grouping (current community mapping).
Not all criterion might be available for all algorithms. See each algorithms' help to find which criterion is supported
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