Maximizing positive influence in competitive social networks: A trust-based solution
Work
Year: 2020
Type: article
Source: Information Sciences
Institutions Shandong Institute of Automation, China University of Geosciences, Tokyo University of Technology, Hunan University, University of Exeter +1 more
Cites: 31
Cited by: 34
Related to: 10
FWCI: 3.204
Citation percentile (by year/subfield): 82.27
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: closed
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Fundamental Research Funds for the Central Universities
Grant IDS 61733016, 61632009, 61502161, 2019M662740, CUGCJ1812