遇见数据集

Replication Data for: A degree-based block model and a local expansion optimization algorithm for anti-community detection in networks

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DataONE2018-08-14 更新2024-06-08 收录
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资源简介:

These dataset are the Replication Data for A degree-based block model and a local expansion optimization algorithm for anti-community detection in networks, which is published in PLOS ONE with DOI: 10.1371/journal.pone.0195226. These dataset included synthetic and real-world networks, executable codes for benchmark DBM-Net, and proposed algorithms LEOA.

本数据集为发表于PLOS ONE期刊(DOI: 10.1371/journal.pone.0195226)的、面向网络反社区检测任务的基于度的块模型(degree-based block model)与局部扩展优化算法的复现数据集。该数据集包含合成网络与真实世界网络、基准方法DBM-Net的可执行代码,以及本文所提出的LEOA算法的相关代码。

创建时间:
2023-11-22
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