| 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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