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Experimental results of modularity QC for dataset Sina-Data1.

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数据链接：

https://figshare.com/articles/dataset/Experimental_results_of_modularity_i_Q_i_sub_i_C_i_sub_for_dataset_Sina-Data1_/6227957 数据链接链接失效反馈

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资源简介：

Experimental results of modularity QC for dataset Sina-Data1.

应用场景：

创建时间：

2018-05-07

社区检测算法评估

复杂网络分析

Modularity was only computed for Blondel’s (non-overlapping) algorithm. For directed hub-percolation, only out-neighborhood was considered when calculating these metrics. Overlapping algorithms are ma

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A_collection_of_LFR_benchmark_etc

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网络基准图生成

该数据集是 Lancichinetti 等人提出的无向和未加权 LFR 基准图的集合。 [1]。我们使用 Santo Fortunato 在他的个人网站 [2] 上提供的代码生成了图表，嵌入在我们的评估框架 [3] 中，具有两个不同的参数集。令 N 表示网络中的顶点数，则最大社区规模：0.2N（A组）； 0.1N（B组）最小社区规模：0.05N（A组）； 10（B组）最大节点度：0.19N（

OpenXLab50

Additional file 1: of Topological and functional comparison of community detection algorithms in biological networks

生物网络分析

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Supplemental Tables S1-S31. (XLSX 7912 kb)

Figshare2019-04-28 更新30

Agreement between community detection methods.

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网络结构分析

The top triangular matrix contains normalized mutual information (NMI) scores comparing the resulting communities between the different methods. The bottom triangular matrix shows NMI over just the su

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Experimental results on five real-world benchmark networks.

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网络社区发现

The maximum, average and standard deviation of modularity values (Qmax,Qavg,Qstd) obtained by LPAm, Meme-Net, Moga-Net, MODPSO, MLCD, MA-Net and iMA-Net.

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Experimental results of modularity <i>Q</i><sub><i>C</i></sub> for dataset Sina-Data1.

资源简介：

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