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

Name: Replication Data for: A degree-based block model and a local expansion optimization algorithm for anti-community detection in networks
Creator: School of Information and Software Engineering, University of Electronic Science and Technology of China
Published: 2018-01-01T00:00:00+08:00

Harvard Dataverse2018-08-14 更新2026-04-09 收录

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数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/O1R1QG 数据链接链接失效反馈

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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.

提供机构：

School of Information and Software Engineering, University of Electronic Science and Technology of China

创建时间：

2018-01-01