@inproceedings{d43acd7b8807443d9e84feaef5c831fd,
title = "Information Flow in Networked System with Leaderless Structure",
abstract = "Agent's behavior analysis in the networked system has been carried out by showing the group action. Actions inside of group show the similar pattern, but the agents in the middle of different groups face with challenge to decide which group in. In the research, we collected and organized different approaches on deciding the agents to be included in a specific cluster. The target for specifying the characteristics of different agents, that is, their preferences for different leadership groups, they also introduced the concept of many weights. According to the feature functions, we can simulate the situation of a leaderless system that received inputs signal to achieve group consensus in the two-dimensional plane. We verified through simulations that the algorithm performs well in the situation with different methods.",
keywords = "Consensus, Information flow, Networked system, Recommendation system, Shapley value",
author = "Zhongnan Liu and Yongxu Sun and Sanghyuk Lee",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 27th International Conference on Automation and Computing, ICAC 2022 ; Conference date: 01-09-2022 Through 03-09-2022",
year = "2022",
doi = "10.1109/ICAC55051.2022.9911116",
language = "English",
series = "2022 27th International Conference on Automation and Computing: Smart Systems and Manufacturing, ICAC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Chenguang Yang and Yuchun Xu",
booktitle = "2022 27th International Conference on Automation and Computing",
}