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Automated Influence Maintenance in Social Networks: An Agent-based Approach


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Li, W, Bai, Q ORCID: 0000-0003-1214-6317, Zhang, MJ and Nguyen, Tung Doan 2019 , 'Automated Influence Maintenance in Social Networks: An Agent-based Approach' , IEEE Transactions on Knowledge and Data Engineering, vol. 31 , pp. 1884-1897 , doi: 10.1109/TKDE.2018.2867774.

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Social 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.

Item Type: Article
Authors/Creators:Li, W and Bai, Q and Zhang, MJ and Nguyen, Tung Doan
Keywords: influence maintenance, influence diffusion, long-lasting influence, agent-based modelling, multi-agent systems, social network analysis
Journal or Publication Title: IEEE Transactions on Knowledge and Data Engineering
Publisher: Ieee Computer Soc
ISSN: 1041-4347
DOI / ID Number: 10.1109/TKDE.2018.2867774
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© 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.

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