模糊意见网络：社会网络中意见及其不确定性的演化的数学框架
Fuzzy Opinion Networks: A Mathematical Framework for the Evolution of Opinions and Their Uncertainties Across Social Networks
AI总结：
本文提出模糊意见网络框架，通过高斯节点连接模拟意见传播，分析不同网络结构中意见及其不确定性的演化机制。
摘要：
本文提出模糊意见网络框架，通过高斯节点连接模拟意见传播，分析不同网络结构中意见及其不确定性的演化机制。
英文摘要：
We propose a new mathematical framework for the evolution and propagation of opinions, called Fuzzy Opinion Network, which is the connection of a number of Gaussian Nodes, possibly through some weighted average, time-delay or logic operators, where a Gaussian Node is a Gaussian fuzzy set with the center and the standard deviation being the node inputs and the fuzzy set itself being the node output. In this framework an opinion is modeled as a Gaussian fuzzy set with the center representing the opinion itself and the standard deviation characterizing the uncertainty about the opinion. We study the basic connections of Fuzzy Opinion Networks, including basic center, basic standard deviation (sdv), basic center-sdv, chain-in-center and chain-in-sdv connections, and we analyze a number of dynamic connections to show how opinions and their uncertainties propagate and evolve across different network structures and scenarios. We explain what insights we might gain from these mathematical results about the formation and evolution of human opinions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
