Oct 27, 2015 · The recently proposed CAR (Cannistrai-Alanis-Ravai) index shows the power of local link/triangle information in improving link-prediction accuracy.

The key idea of our method is to exploit the value of links between other neighbors of common-neighbors, except seed nodes and common-neighbor nodes, and they ...

Abstract. Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem.

Efficient Link Prediction with Node Clustering Coefficient · Zhihao Wu, Youfang Lin, +1 author. Steve Gregory · Published in arXiv.org 2015 · Computer Science.

Oct 27, 2015 · Unlike the classical clustering coefficient, our new coefficient is highly robust when the observed bias of links is considered. Furthermore, we ...

Downloadable (with restrictions)! Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem.

Jan 15, 2022 · This paper proposes the link prediction algorithm based on clustering coefficient and node centrality (CCNC), which combines the degree index, clustering ...

Jun 3, 2022 · We find that a higher clustering coefficient tends to lead to a higher AUC in link prediction, except for Matrix Factorisation, which is not sensitive to the ...

Clustering coefficient abstract. Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem.

Jan 4, 2024 · Additionally, the clustering coefficient is employed to gauge the extent of clustering among nodes in the network. In an endeavor to scrutinize ...