Nov 11, 2021 · In this article, we study the COM in signed social networks and propose a novel reinforcement-learning-based opinion maximization framework ( ...
In this article, we study the problem of COM in signed social networks using the reinforcement learn- ing method, which has been relatively unexplored in-depth.
In this article, we study the COM in signed social networks and propose a novel reinforcement-learning-based opinion maximization framework (RLOM) to solve the ...
A novel model, called ICOM (Iterative Competitive Opinion Maximization), is proposed that can effectively and efficiently maximize the total opinions in ...
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In He et al. (2022) , reinforcement learning is used to model how the users' opinion changes during the spreading process and propose an adaptive seed selection ...
Jan 15, 2020 · In this paper, we study the problem of competitive opinion maximization, where the game of influence diffusion includes multiple competing ...
In this paper, we study positive opinion maximization by using an Activated Opinion Maximization Framework (AOMF) in signed social networks.
Apr 28, 2024 · This paper introduces a novel approach to maximize the number of positively activated nodes by applying deep reinforcement learning to signed ...
Missing: Competitive Opinion
In this paper, we consider the Opinion Maximization problem for signed, weighted and directed social networks with Multi-Stage Linear Threshold Model for ...
Jan 18, 2023 · In this paper, we consider the Opinion Maximization problem for signed, weighted and directed social networks with Multi-Stage Linear Threshold ...