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Stigmergy-based influence maximization in social networks
Citation
Li, W and Bai, Q and Jiang, C and Zhang, M, Stigmergy-based influence maximization in social networks, Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016). Lecture Notes in Computer Science, volume 9810, 22-26 August 2016, Phuket, Thailand, pp. 750-762. ISBN 9783319429106 (2016) [Refereed Conference Paper]
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Copyright Statement
Copyright 2016 Springer
DOI: doi:10.1007/978-3-319-42911-3_63
Abstract
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.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | influence maximization, ant algorithm, stigmergy |
| Research Division: | Information and Computing Sciences |
| Research Group: | Artificial intelligence |
| Research Field: | Intelligent robotics |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information systems, technologies and services |
| Objective Field: | Application software packages |
| UTAS Author: | Bai, Q (Dr Quan Bai) |
| ID Code: | 140685 |
| Year Published: | 2016 |
| Web of Science® Times Cited: | 6 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2020-09-01 |
| Last Modified: | 2020-11-09 |
| Downloads: | 17 View Download Statistics |
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