138120 - Automated Influence Maintenance in Social Networks.pdf (817.74 kB)
Automated Influence Maintenance in Social Networks: An Agent-based Approach
journal contribution
posted on 2023-05-20, 12:03 authored by Li, W, Quan BaiQuan Bai, Zhang, MJ, Nguyen, TDSocial influence modelling and maximization appear significant in various domains, such as e-business, marketing, and social computing. Most existing studies focus on how to maximize positive social impact to promote product adoptions based on static network snapshots. Such approaches can only increase influence in a social network in short-term, but cannot generate sustainable or long-term effects. In this research work, we study how to maintain long-term influence in a social network and propose an agent-based influence maintenance model, which can select influential nodes based on the current status in dynamic social networks in multiple times. Within the context of our investigation, the experimental results indicate that multiple-time seed selection is capable of achieving more constant impact than that of one-shot selection. We claim that influence maintenance is crucial for supporting, enhancing, and assisting long-term goals in business development. The proposed approach can automatically maintain long-lasting impact and achieve influence maintenance.
History
Publication title
IEEE Transactions on Knowledge and Data EngineeringVolume
31Pagination
1884-1897ISSN
1041-4347Department/School
School of Information and Communication TechnologyPublisher
Ieee Computer SocPlace of publication
10662 Los Vaqueros Circle, Po Box 3014, Los Alamitos, USA, Ca, 90720-1314Rights statement
© Copyright 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Repository Status
- Open