Y Li, H Gao, Y Gao, J Guo, W Wu - ACM Transactions on Knowledge …, 2023 - dl.acm.org
Influence Maximization (IM) is a classical combinatorial optimization problem, which can be widely used in mobile networks, social computing, and recommendation systems. It aims at …
X Zeng, H Peng, A Li - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
The importance of effective detection is underscored by the fact that socialbots imitate human behavior to propagate misinformation, leading to an ongoing competition between …
H Li, M Xu, SS Bhowmick, JS Rayhan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Since its introduction in 2003, the influence maximization (IM) problem has drawn significant research attention in the literature. The aim of IM, which is NP-hard, is to select a set of users …
Aiming at selecting a small subset of nodes with maximum influence on networks, the influence maximization (IM) problem has been extensively studied. Since it is# P-hard to …
Y Zhou, X Zhang, N Geng, Z Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The-separator problem (-SP) consists of finding the minimum set of vertices whose removal separates the network into multiple different connected components with fewer than a limited …
Selecting a set of initial users from a social network in order to maximize the envisaged number of influenced users is known as influence maximization (IM). Researchers have …
H Chen, W Qiu, HC Ou, B An… - Uncertainty in Artificial …, 2021 - proceedings.mlr.press
The influence maximization (IM) problem aims at finding a subset of seed nodes in a social network that maximize the spread of influence. In this study, we focus on a sub-class of IM …
AN Zehmakan - arXiv preprint arXiv:2302.06760, 2023 - arxiv.org
Consider a graph G with n nodes and m edges, which represents a social network, and assume that initially each node is blue or white. In each round, all nodes simultaneously …
S Wu, W Li, Q Bai - Knowledge-Based Systems, 2023 - Elsevier
In recent years, many applications have deployed incentive mechanisms to promote users' attention and engagement. Most incentive mechanisms determine specific incentive values …