A Link Prediction Algorithm for Temporal Directed Social Network
摘要
Aiming at the problem that the existing majority link prediction algorithm has low accuracy,a link prediction algorithm based on the Normalized Common Neighbor and Local Clustering (NCNLC) similarity index is proposed based on the combination of global and local features.The similarity index of NCNLC attribute of the node is analyzed,and the cumulative influence factor is assigned to the joint between the nodes.Simulation results show that compared with the LAS index similarity algorithm,the proposed algorithm has higher prediction accuracy and can effectively predict the link in the temporal directed social network.
引用本文（GB/T 7714）
YANG Ruiqi,ZHANG Yuexia. A Link Prediction Algorithm for Temporal Directed Social Network[J]. DOAJ (DOAJ: Directory of Open Access Journals), 2019.
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