Synthetic networks’ parameters generated by the LFR model.

NIAID Data Ecosystem2026-03-13 收录

复杂网络形成

社区检测基准

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https://figshare.com/articles/dataset/Synthetic_networks_parameters_generated_by_the_LFR_model_/20716842 数据链接链接失效反馈

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资源简介：

Synthetic networks’ parameters generated by the LFR model.

创建时间：

2022-08-29

The empirical networks we study and their basic properties.

复杂网络形成

网络拓扑属性

Number of vertices , number of edges , average degree , number of connected components , average path length , clustering coefficient , and coefficient of assortativity .

Figshare2015-12-02 更新40

Relevant features of the real-world networks of different domains used to develop a similarity criterion based on the method of reconstructed potentials.

复杂网络形成

网络相似性度量

N, L and Nc denote the number of nodes, edges and connected components, respectively; LCC stands for Largest Connected Component; 〈k〉 is the average degree of the network; the fill is defined as the r

Figshare2021-07-13 更新30

Average value of edge betweenness in network neighbourhood links and in spatial neighbourhood links, for each component of more than 10 nodes within each network.

网络边介数分析

复杂网络形成

Average value of edge betweenness in network neighbourhood links and in spatial neighbourhood links, for each component of more than 10 nodes within each network.

NIAID Data Ecosystem20

BA Test Datset

复杂网络形成

网络建模

This dataset consists of 25-45 node graphs generated via BA [1] with uniformly randomly scattered nodes over a grid the size of north america with a minimim of 100km between...

B2FIND30

The basic structural features of the studied 15 real networks.

复杂网络形成

网络拓扑分析

and are the number of nodes and links, and are the maximum of in-degree and out-degree of all nodes, and is the average degree of all nodes (average in-degree equals average out-degree). and are the 9

Figshare2015-12-02 更新20

Synthetic networks’ parameters generated by the LFR model.

资源简介：

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