| Interface | Description | 
|---|---|
| Distribution | Interface for a distribution over discrete values. | 
| Generator | Interface for Graph generators. | 
| Class | Description | 
|---|---|
| AbstractGenerator | Base class for all synthetic network generators. | 
| AbstractGenerator.AbstractGeneratorBuilder<T extends AbstractGenerator.AbstractGeneratorBuilder> | |
| AbstractGeneratorTest | |
| CommunityGenerator | Generates a synthetic network with a community structure, that is, several densely connected
 sub-networks that are loosely connected with one another. | 
| CommunityGenerator.Builder | |
| CommunityGeneratorTest | |
| CommunityGeneratorTest.DifferentDistributionsTest | |
| CommunityGeneratorTest.ProcessorTest | |
| CopyDistribution | CopyDistribution returns the conditional value. | 
| DistributionGenerator | Generates a synthetic network for a given out- and (optionally) in-degree distribution. | 
| DistributionGenerator.Builder | |
| DistributionGeneratorTest | |
| DistributionGeneratorTest.DifferentDistributionsTest | |
| DistributionGeneratorTest.ProcessorTest | |
| NormalDistribution | Generates values according to a normal distribution with the configured standard deviation. | 
| PowerLawDistribution | Generates values according to a scale-free distribution with the configured gamma value. | 
| SizableIterable<T> | Utility class to make size determinations for  Iterablefor efficient. | 
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