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English(EN) ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection

ComNetX框架提升动态社区检测效率

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了ComNetX，一个旨在提高大型网络中动态社区检测效率的新框架。该方法采用分层自适应方法来局部化计算，仅关注网络中已发生变化的部分。ComNetX可以与各种现有求解器集成，在保持其质量的同时显著缩短更新时间。在真实网络和模拟数据上的评估证明了其有效性，显示在检测质量损失极小的情况下速度得到了大幅提升。 AI

影响 该框架有望加速依赖动态网络分析的领域（如社会科学和网络安全）的研究和分析。

排序理由 该条目是一篇详细介绍新计算框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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ComNetX框架提升动态社区检测效率

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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Aleksandr Konovalov, Anna Uporova, Alexander Drobyshev, Iaroslav Egorov, Grigoriy Bokov ·

    ComNetX：动态社区检测的局部分层自适应

    arXiv:2608.16906v1 Announce Type: cross Abstract: Dynamic community detection is commonly addressed either by full-snapshot recomputation or by solver-specific dynamic procedures. Full recomputation preserves the semantics of mature static solvers, but it repeatedly processes unc…

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