| 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  
Iterable for efficient. | 
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