Community detection¶
Warning
Do not manually instantiate this class using the class constructor. Instantiate the class using the method noesis.Noesis.create_community_detector()
.
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class
noesis.communities.
CommunityDetector
(detector, *args)¶ This class implements the interface for community detectors. These algorithms find groups of densely connected nodes.
Parameters: - detector (string) – Technique used for community detection. Currently supported techniques are: - Hierarchical agglomerative: ‘SingleLink’, ‘AverageLink’, and ‘CompleteLink’. - Hierarchical divisive: ‘NewmanGirvan’ and ‘Radicchi’. - Modularity-based: ‘FastGreedy’ and ‘MultiStepGreedy’. - Partitioning-based: ‘KernighanLin’ and ‘KMeans’. - Spectral: ‘UKMeans’, ‘NJW’, and ‘EIG1’. - Overlapping: ‘BigClam’.
- args (parameters) – Parameters for the community detector. These parameters are specific for each algorithm and more details are provided in NOESIS documentation.