Generalizes L-Modularity into a unified framework for community detection in complex link streams that include delayed, directed, weighted, and multipartite interactions.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.SI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
ALCMeans combines Laplacian energy-based automatic center identification with DeepWalk embeddings to perform unsupervised community detection without predefining the number of communities and reports 10-20% higher NMI and ARI than several baselines on benchmark datasets.
citing papers explorer
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Generalized L-Modularity for Community Detection Beyond Simple Temporal Networks
Generalizes L-Modularity into a unified framework for community detection in complex link streams that include delayed, directed, weighted, and multipartite interactions.
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Alcmean's: Unsupervised community detection using local Laplacian, automatic detection of the number of centers
ALCMeans combines Laplacian energy-based automatic center identification with DeepWalk embeddings to perform unsupervised community detection without predefining the number of communities and reports 10-20% higher NMI and ARI than several baselines on benchmark datasets.