The Absence of a Weak-Tie Effect When Predicting Large-Weight Links in Complex Networks.

Zhang, Chengjun; Li, Qi; Lei, Yi; Qian, Ming; Shen, Xinyu; Cheng, Di; Yu, Wenbin

Zhang, Chengjun; Li, Qi; Lei, Yi; Qian, Ming; Shen, Xinyu; Cheng, Di; Yu, Wenbin.

Afiliação

Zhang C; School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Li Q; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CI-CAEET), Nanjing University of Information Science and Technology, Nanjing 210044, China.
Lei Y; Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Qian M; School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Shen X; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CI-CAEET), Nanjing University of Information Science and Technology, Nanjing 210044, China.
Cheng D; Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Yu W; School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Entropy (Basel) ; 25(3)2023 Feb 26.

Article em En | MEDLINE | ID: mdl-36981311

Palavras-chave

common neighbors; link prediction; weak-ties theory; weighted networks

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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