community-detection-evaluation

Here are 6 public repositories matching this topic...

benedekrozemberczki / EgoSplitting

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

machine-learning deep-learning clustering machine-learning-algorithms community-detection networkx kdd community-detection-algorithm igraph graph-clustering louvain-algorithm fuzzy-clustering ego-network louvain-community-detection louvain-method community-detection-evaluation ego-networks graph-clustering-algorithm fast-clustering persona-graph

Updated Mar 18, 2023
Python

eXascaleInfolab / clubmark

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Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)

benchmark-framework evaluation-metrics clustering-evaluation clustering-algorithms-benchmarking community-detection-evaluation parallel-benchmarking algorithm-profiling overlapping-clusteriing-evaluation

Updated Mar 3, 2021
Python

Super.Complex is a supervised machine learning algorithm for community detection in networks. It learns information from known communities and uses this information to find new communities on the network.

distributed-computing community-detection community-detection-algorithm automl supervised-machine-learning supervised-clustering community-detection-evaluation community-detection-algorithms

Updated Jul 6, 2023
Python

SeifTarekNassar / Community-Detection-Algorithms-Performance-comparison

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The implementation was done using python networkx and matplot libraries. Zachary karate club dataset is used as a benchmark dataset between the different community detection algorithms. Karate is the well-known and much-used dataset to benchmark algorithms as ground truth of it is two so if a detection algorithm is close to these two sets, then …

algorithm community-detection dataset community-detection-evaluation community-detection-algorithms