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Average AMI scores (higher is better) of 100 independent runs of various community detection methods over a range of synthetic datasets.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Average_AMI_scores_higher_is_better_of_100_independent_runs_of_various_community_detection_methods_over_a_range_of_synthetic_datasets_/27972076
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STGkM is our method, CC uses dynamic connected components, k-medoids compresses a dynamic graph into a single static one and uses k-medoids, and DCDID is a heuristic method [4]. The best performance is bolded.
创建时间:
2024-12-05
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