Link Prediction for Statistical Collaboration Networks Incorporating Institutes and Research Interests
Author:
Affiliation:
1. School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China
2. School of Economics, Xiamen University, Xiamen, China
3. Guanghua School of Management, Peking University, Beijing, China
Funder
National Natural Science Foundation of China
Disciplinary Funding of Central University of Finance and Economics
Emerging Interdisciplinary Project of the Central University of Finance and Economics
Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09903591.pdf?arnumber=9903591
Reference50 articles.
1. The matrix-forest theorem and measuring relations in small social groups;chebotarev;Automat Remote Control,1997
2. Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation
3. Predicting missing links via local information
4. Friends and neighbors on the Web
5. Evolution of the social network of scientific collaborations
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