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Modelling multiple influences diffusion in on-line social networks
conference contribution
posted on 2023-05-23, 14:40 authored by Li, W, Zhang, M, Quan BaiQuan Bai, Nguyen, TDIn on-line social networks, innovations in the presence of one or more influences disseminate through the topological structure of the networks rapidly. In reality, various influences normally coexist in the same context and have subtle relations, such as supportive, contradictory and competitive relations, affecting the users' decisions of adopting any innovations. Therefore, modelling diffusion process of multiple influences is an important, yet challenging research question. By employing the agent-based modelling, in this paper, a distributed approach has been proposed to model the diffusion process of multiple influences in social networks. The proposed model has been applied in the undesirable influence minimisation problem, where the time series is taken into consideration. The experimental results show our model can be utilised to minimise the adverse impact of a certain influence by injecting other influences. Furthermore, the proposed model also sheds light on understanding, investigating and analysing multiple influences in social networks.
History
Publication title
Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)Pagination
1053-1061ISBN
9781510868083Department/School
School of Information and Communication TechnologyPublisher
International Foundation for Autonomous Agents and Multiagent SystemsPlace of publication
United StatesEvent title
17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)Event Venue
Stockholm, SwedenDate of Event (Start Date)
2018-07-10Date of Event (End Date)
2018-07-15Rights statement
Copyright 2018 8 International Foundation for Autonomous Agents and Multiagent SystemsRepository Status
- Restricted