These datasets and codes are used in the article named "An efficient similarity index based on clustering ability for link prediction in complex networks"

Figshare2016-01-20 更新30

Comparison of the prediction accuracy measured by precision (top-100) on ten real-world networks.

复杂网络链接预测

预测精度评估

Each value is averaged over 100 independent runs with random divisions of training set and probe set . The bold font represents that MI is better than the corresponding prediction index.Comparison of

Figshare2015-12-02 更新20

CAindex

复杂网络链接预测

相似性评估

These datasets and codes are used in article named "An efficient similarity index based on clustering ability for link prediction in complex networks"

NIAID Data Ecosystem40

Assessing Low-Intensity Relationships in Complex Networks

复杂网络链接预测

节点相似性度量

Many large network data sets are noisy and contain links representing low-intensity relationships that are difficult to differentiate from random interactions. This is especially relevant for high-thr

NIAID Data Ecosystem30

Meta Path Topological Features

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相关数据集