Exploiting user-to-user topic inclusion degree for link prediction in social-information networks-Reference-Cited by-同舟云学术

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Exploiting user-to-user topic inclusion degree for link prediction in social-information networks

Published:2018-10 Issue: Volume:108 Page:143-158
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Zhiqiang^ORCID,Liang Jiye^ORCID,Li Ru

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference89 articles.

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

2. Friendship prediction and homophily in social media;Aiello;ACM Transactions on the Web,2012

3. Mixed membership stochastic blockmodels;Airoldi;Journal of Machine Learning Research,2008

4. Effects of user similarity in social media;Anderson,2012

5. Supervised random walks: Predicting and recommending links in social networks;Backstrom,2011

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