140685 - Stigmergy-based influence maximization in social networks.pdf (1.31 MB)
Stigmergy-based influence maximization in social networks
conference contribution
posted on 2023-05-23, 14:42 authored by Li, W, Quan BaiQuan Bai, Jiang, C, Zhang, MInfluence 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 9810Volume
9810Editors
R Booth and ML ZhangPagination
750-762ISBN
9783319429106Department/School
School of Information and Communication TechnologyPublisher
SpringerPlace of publication
SwitzerlandEvent title
14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016)Event Venue
Phuket, ThailandDate of Event (Start Date)
2016-08-22Date of Event (End Date)
2016-08-26Rights statement
Copyright 2016 SpringerRepository Status
- Open