posted on 2023-05-23, 14:42authored byLi, W, Quan BaiQuan Bai, Jiang, C, Zhang, M
Influence maximization is an important research topic which has been extensively studied in various fields. In this paper, a stigmergybased approach has been proposed to tackle the influence maximization problem. We modelled the influence propagation process as ant’s crawling behaviours, and their communications rely on a kind of biological chemicals, i.e., pheromone. The amount of the pheromone allocation is concerning the factors of influence propagation in the social network. The model is capable of analysing influential relationships in a social network in decentralized manners and identifying the influential users more efficiently than traditional seed selection algorithms.
History
Publication title
Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016). Lecture Notes in Computer Science, volume 9810
Volume
9810
Editors
R Booth and ML Zhang
Pagination
750-762
ISBN
9783319429106
Department/School
School of Information and Communication Technology
Publisher
Springer
Place of publication
Switzerland
Event title
14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016)