Aug 20, 2024 · In this paper, the Adaptive Multi Round Influence Maximization problem is studied, in which the influence of a set of selected users (seed set) is propagated ...

In this paper, the Adaptive Multi Round Influence Maximization problem is studied, in which the influence of a set of selected users (seed set) is propagated in ...

In this paper, the Adaptive Multi Round Influence Maximization problem is studied, in which the influence of a set of selected users (seed set) is propagated in ...

DOI:10.1007/s13278-024-01336-4; Corpus ID: 271961956. A variable neighborhood search approach for the adaptive multi round influence maximization problem.

May 29, 2023 · This paper studies the Multiple Round Influence Maximization (MRIM) problem, in which influence is propagated in multiple rounds independently ...

In this paper, we initially model the issue of link congestion as a Bayesian network model (BNM). Subsequently, we introduce a congestion link identification ...

influenced users in each round. Adaptive approach, users are influenced after the selection of each round is known, increasing the information available for.

A variable neighborhood search approach for the adaptive multi round influence maximization problem. https://doi.org/10.1007/s13278-024-01336-4.

This paper studies the Multiple Round Influence Maximization (MRIM) problem, in which influence is propagated in multiple rounds independently from possibly ...

Multi-Round Influence Maximization: A Variable Neighborhood Search Approach. https://doi.org/10.1007/978-3-031-34500-5_9 ·. Journal: Variable Neighborhood ...