Dataset of networks used in assessing the Bayan algorithm for community detection

This dataset contains a range of randomly generated networks (random graphs) from a study on community detection. In total there are 520 network files. This includes 500 LFR graphs, 10 Erdos-Renyi graphs, and 10 Barabasi-Albert graphs as described in the article linked below this description. Each network is provided in .gml format. <br> This dataset is provided under a CC BY-NC-SA Creative Commons v 4.0 license (Attribution-NonCommercial-ShareAlike). This means that other individuals may remix, tweak, and build upon these data non-commercially, as long as they provide citations to this data repository (https://doi.org/10.6084/m9.figshare.22442785) and the reference article listed below (http://dx.doi.org/10.48550/arXiv.2209.04562), and license the new creations under the identical terms. For more information about the data, one may refer to the article below: Aref, Samin, Hriday Chheda, and Mahdi Mostajabdaveh. "The Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity." <em>arXiv preprint arXiv:2209.04562</em> (2022).

本数据集源自一项社区检测（community detection）研究，收录了该研究生成的各类随机网络（random graphs，随机图），共计520个网络文件。其中包含500个LFR图（LFR graph）、10个Erdos-Renyi图（Erdos-Renyi graph）以及10个Barabasi-Albert图（Barabasi-Albert graph），具体细节可参见本描述下方关联的学术文章。所有网络均以.gml格式提供。
本数据集采用CC BY-NC-SA 4.0知识共享协议（Attribution-NonCommercial-ShareAlike，署名-非商业性使用-相同方式共享）进行授权。这意味着其他使用者可对本数据集进行非商业性的改编、微调与二次创作，但需正确引用本数据仓库（https://doi.org/10.6084/m9.figshare.22442785）以及下方列出的参考文献（http://dx.doi.org/10.48550/arXiv.2209.04562），并将衍生作品采用相同许可协议进行授权。
如需了解数据集更多细节，可参阅以下学术文章：Aref Samin、Hriday Chheda与Mahdi Mostajabdaveh合著的《Bayan算法：通过模块度（modularity）的精确与近似优化实现网络社区检测》，发表于arXiv预印本平台arXiv:2209.04562（2022年）。