Experimental Data for Community Detection on Node and Edge Importance Analysis
收藏科学数据银行2023-03-29 更新2026-04-23 收录
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资源简介：
In order to verify the effectiveness and efficiency of the community detection algorithm on node and edge importance analysis, experiments are carried out on two types of datasets:(1) The synthetic network is generated by the LFR benchmark, and the submitted file contains the algorithm code, parameter meaning, and description information.(2) The real-world network is selected from the Stanford Network Analysis Project SNAP (http://snap.stanford.edu/data/index.html#socnets), and the submitted file contains the preprocessed network data and description information.
提供机构：
ShinyGao
创建时间：
2023-02-07
