Work

Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization

Year: 2025

Type: article

Source: IEEE Transactions on Network Science and Engineering

DOI: 10.1109/tnse.2025.3611330

Authors: Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho

Institutions: Virginia Tech, DEVCOM Army Research Laboratory, United States Army Combat Capabilities Development Command, United States Army, University of Oslo, University of the District of Columbia, The University of Texas at Dallas

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W4414270641

FWCI: 1.286

Cites: 58

Cited by: 3

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