Agent-based influence maintenance in social networks
RIS ID
127390
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.
COinS
Publication Details
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.