DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal Networks
https://arxiv.org/abs/2510.06245
Graph models help understand network dynamics and evolution. Creating graphs with controlled topology and embedded partitions is a common strategy for e...📈🤖

DynBenchmark, shown at FRCCS 2025 (May, Bordeaux, pp 74‑85), offers Python libraries and visualization tools to build temporal networks for community‑detection tests. https://getnews.me/dynbenchmark-provides-customizable-benchmarks-for-community-tracking/ #dynbenchmark #communitydetection

Laurent Brisson, C\'ecile Bothorel, Nicolas Duminy: DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal Networks https://arxiv.org/abs/2510.06245 https://arxiv.org/pdf/2510.06245 https://arxiv.org/html/2510.06245

DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal Networks
https://arxiv.org/abs/2510.06245