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Number of communities obtained by NG-SM versus original number of communities.

NIAID Data Ecosystem2026-03-10 收录

数据链接：

https://figshare.com/articles/dataset/Number_of_communities_obtained_by_NG-SM_versus_original_number_of_communities_/5301112 数据链接链接失效反馈

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资源简介：

Number of communities obtained by NG-SM versus original number of communities.

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创建时间：

2017-08-11

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

NIAID Data Ecosystem110

CPM performance on different artificial datasets conditions.

社区检测算法评估

人工网络条件分析

*the bold data marked with an asterisk (*) is the best value with the same location in Tables 2–4. **EQ: Extended Quality of modularity; IGP: In-Group-Proportion; PD: Partition Density; CN: Communitie

NIAID Data Ecosystem80

NMI Benchmark by three community detection algorithms comparing with Yang's labeled community structure.

社区检测算法评估

网络社区结构基准测试

NMI Benchmark by three community detection algorithms comparing with Yang's labeled community structure.

NIAID Data Ecosystem40

Agreement between community detection methods.

社区检测算法评估

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

NIAID Data Ecosystem100

A_collection_of_LFR_benchmark_etc

社区检测算法评估

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（

OpenXLab60

Number of communities obtained by NG-SM versus original number of communities.

资源简介：

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