Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information-Reference-Cited by-同舟云学术

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Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information

Published:2020-06 Issue: Volume:148 Page:113290
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chen Guangfu,Xu Chen,Wang Jingyi,Feng Jianwen,Feng Jiqiang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference66 articles.

1. Friends and neighbors on the web;Adamic;Social Networks,2003

2. Generalizing pagerank: Damping functions for link-based ranking algorithms;Baeza-Yates,2006

3. Analysis of directed networks via partial singular value decomposition and gauss quadrature;Baglama;Linear Algebra and its Applications,2014

4. Who to follow and why: link prediction with explanations;Barbieri,2014

5. Batagelj, V., & Mrvar, A. (2006). Pajek datasets. http://vlado.fmf.uni-lj.si/pub/networks/data/.

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