Predicting Top-L Missing Links with Node and Link Clustering Information in Large-scale Networks
Introduction:
In this paper, we propose a new similarity index, called NLC, considering both node and link clustering information. The experimental results show that NLC index can perform much better than CCLP and other compared methods on networks with a broad ECC (edge clustering coefficient) distribution.
Download:
Click here to download source code of NLC and other compared methods.