Skip to main content
placeholder image

Agent-based influence maintenance in social networks

Conference Paper


Abstract


  • © Copyright 2017, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved. We study on how to maintain long-term influence in a social network by proposing an agent-based influence maintenance model. Within the context of our investigation, the experimental results reveal that multiple-time seed selection is capable of achieving more constant impact than one-shot selection.

Publication Date


  • 2017

Citation


  • Li, W., Bai, Q., Nguyen, T. & Zhang, M. (2017). Agent-based influence maintenance in social networks. In S. Das, E. Durfee, K. Larson & M. Winkoff (Eds.), 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017) (pp. 1592-1594). International Foundation for Autonomous Agents and Multiagent Systems.

Scopus Eid


  • 2-s2.0-85046457631

Start Page


  • 1592

End Page


  • 1594

Abstract


  • © Copyright 2017, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved. We study on how to maintain long-term influence in a social network by proposing an agent-based influence maintenance model. Within the context of our investigation, the experimental results reveal that multiple-time seed selection is capable of achieving more constant impact than one-shot selection.

Publication Date


  • 2017

Citation


  • Li, W., Bai, Q., Nguyen, T. & Zhang, M. (2017). Agent-based influence maintenance in social networks. In S. Das, E. Durfee, K. Larson & M. Winkoff (Eds.), 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017) (pp. 1592-1594). International Foundation for Autonomous Agents and Multiagent Systems.

Scopus Eid


  • 2-s2.0-85046457631

Start Page


  • 1592

End Page


  • 1594