Jun 9, 2021 · This paper proposes a novel approach to multi-attribute targeted influence maximization in social networks, focused on a multi-attribute seed ...
Jun 16, 2021 · In this paper a novel approach with multi-attribute targeted influence maximization is proposed. The approach uses the multi-attribute nature of the network ...
In this paper a novel approach with multi-attribute targeted influence maximization is proposed. The approach uses the multi-attribute nature of the network ...
The approach uses the multi-attribute nature of the network nodes (age, gender etc.) to better target specified groups of users. The proposed approach is ...
We propose a more realistic and generalized formulation called Multi-Constraint Influence Maximization (MCIM) to achieve a cost-effective solution under both ...
May 8, 2024 · In this article, we study the current most promising seeding strategy used in field experiments, the one-hop strategy, where the underlying interaction ...
In this paper, a novel approach to targeting multi-attribute nodes in complex networks is presented, in which an MCDA method with various preference weights ...
We propose a new multifactor-based information propagation model (MFIP), which considers both the information content and user characteristics.
In this paper, we study the strategies selecting seed users in an adaptive manner. We first formally model the Dynamic Independent Cascade model and introduce ...
In this paper, we study the Multidimensional Selection based Targeted Influence Maximization problem, MSTIM for short.
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