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Jun 2, 2023 · In this paper, we revisit the problem of influence maximization with fairness, which aims to select k influential nodes to maximise the spread of information ...
Aug 4, 2023 · We revisit the problem of influence maximization with fairness, which aims to select k influential nodes to maximise the spread of information ...
Jun 2, 2023 · We achieve scalability by exploiting the diffusion cascades information to solve the fair influence maximization problem, as opposed to social ...
Influence Maximization with Fairness at Scale. 2023. Feng, Yuting;; Patel, Ankitkumar;; Cautis, Bogdan;; Vahabi, Hossein. Published Web Location. https://doi.
This paper revisit the problem of influence maximization with fairness, which aims to select k influential nodes to maximise the spread of information in a ...
In this paper, we adopt the objective function of welfare fairness to maximize the exponentially weighted summation over the influenced fraction of all ...
This paper studies a fair influence maximization problem on large-scale graphs. Three reviewers holds a weakly positive view of the paper. A fourth reviewer ...
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Sep 7, 2024 · In this paper, we revisit the problem of influence maximization with fairness, which aims to select k influential nodes to maximise the ...
In this paper, we adopt the objective function of welfare fairness to maximize the exponentially weighted summation over the influenced fraction of all ...