Multi-value opinion sharing based on information source influence in agent-based network
Multi-value opinion sharing based on information source influence in agent-based network
复制标题
Agent网络中基于信息源影响力的多值意见共享
DOI：
10.1088/1742-6596/1564/1/012034
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
K.
中科院分区：
文献类型：
--
作者：
Kitajima;E.;Murata;A.;and Takadama;K.
本文提出了一种信息共享算法，用于防止在 SNS 等基于代理的网络中传播错误信息，并旨在通过小世界网络等复杂网络来研究该算法的有效性。针对实际应用，本文将传统的意见共享模型（OSM）扩展到二元意见中以应对多值意见，并提出了新的防止错误信息传播的算法来应对多值意见。对三种类型的复杂网络的密集模拟表明，所提出的算法（称为自信息权重调整（SWT））中代理正确意见的准确性达到80％左右，并且不受多值意见中意见状态数量的影响，而传统算法（称为自主自适应调整（AAT））的准确性低于所提出的算法，并且随着意见状态数量的增加而降低。
This paper proposes the information sharing algorithm for preventing propagation of wrong information in the agent-based network such as SNS, and aims at investigating the effectiveness of the proposed algorithm through the complex network such as a small world network. Towards practical applications, this paper extends the conventional opinion sharing model (OSM) to cope with the multi-value opinion from the binary opinion, and proposes the new algorithm for preventing propagation of wrong information to cope with the multi-value opinion. The intensive simulations of three types of the complex network have revealed that the accuracy of the correct opinion of agents in the proposed algorithm (called Self-information Weight Tuning (SWT)) reaches around 80% which is not affected by the number of opinion states in the multi-value opinions, while that of the conventional algorithm (called Autonomous Adaptive Tuning (AAT)) is lower than the proposed algorithm and decreases as the number of opinion states increases.