Large-Scale Network Community Detection Using Similarity-Guided Merge and Refinement
Emulating real networks and clusterings using LFR graphs
This project focuses on the community structure analysis on graphs with multiple layers of community structures embedded in it. To conduct experiments on multiple layers of community structures in the graph, graphs that are based on the same nodes but wired with different edges are merged. Then the merged graph is analyzed by different technique…
Algorithms for “community” or cohesive subgraph detection are frequently used to analyze network representations of complex systems, and constitute an active area of methodological research. Algorithms for overlapping community detection are of particular interest, because it is often unrealistic to form strict partitions of natural systems, wit…
Synthetic datasets for analysing Connectivity Modifier (CM)
Datasets and scripts for FastEnsemble paper
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