Title :
Opinion fluctuation and fashion phenomena of a long-range opinion dynamics
Author_Institution :
Key Lab of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, P.R. China
Abstract :
In this paper, we study the opinion fashion based on a bounded-confidence opinion dynamics with weariness mechanism. The opinion of a group of agents fluctuates between two stubborn agents´ opinion values and demonstrates fashion phenomena because of the time-varying weariness bias in the confidence range. Each agent updates its opinion using other agents´ opinion values according to its confidence bound and its long-range opinion interactions. We show fashion phenomena with different confidence or weariness parameters, and provide simple analysis for the fashion characteristics.
Keywords :
Analytical models; Convergence; Fluctuations; Integrated circuit modeling; Mathematical model; Numerical models; Social network services; Opinion dynamics; confidence bound; fashion fluctuation; long range interaction;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7261087
