Opinion evolution in the Sznajd model on interdependent chains

2021 ◽  
Vol 565 ◽  
pp. 125558
Author(s):  
Lihui Shang ◽  
Mingming Zhao ◽  
Jun Ai ◽  
Zhan Su
Keyword(s):  
Opinion Evolution

Opinion evolution in different social acquaintance networks

2017 ◽  
Vol 27 (11) ◽  
pp. 113111 ◽  
Author(s):  
Xi Chen ◽  
Xiao Zhang ◽  
Zhan Wu ◽  
Hongwei Wang ◽  
Guohua Wang ◽  
...  
Keyword(s):  
Opinion Evolution

OPINION EVOLUTION ON THE SZNAJD MODEL WITH FAMILY INFLUENCE AND AGE THRESHOLD

2005 ◽  
Vol 16 (11) ◽  
pp. 1745-1752 ◽  
Author(s):  
QI SUN ◽  
LIDONG LUO ◽  
BEI LI ◽  
ZEWEI MAO ◽  
MINGFENG HE
Keyword(s):  
Social Influence ◽  
Age Groups ◽  
Family Influence ◽  
Distribution Area ◽  
Human Society ◽  
Initial State ◽  
Penna Model ◽  
Opinion Evolution

In this paper, the Sznajd model is used to study the opinion evolution but with parents influence and social influence division, as well as age barriers between different social members when interacting. To get the age information, we introduce Penna model to describe the human society. The result indicates that age does not affect the final consensus of the Sznajd model, but it has effect on the opinion distribution area when the initial state is 50% for either of the two opinions. With the presence of parents influence, the fluctuations of opinions in different age groups are different. When the site is not fully filled initially, with increasing age threshold, the fluctuation of opinions becomes larger.

Opinion evolution in open community

2017 ◽  
Vol 28 (01) ◽  
pp. 1750003 ◽  
Author(s):  
Qiuhui Pan ◽  
Yao Qin ◽  
Yiqun Xu ◽  
Mengfei Tong ◽  
Mingfeng He
Keyword(s):  
Steady State ◽  
Cellular Automata ◽  
Open System ◽  
Constant Number ◽  
A Value ◽  
Dynamic Group ◽  
The People ◽  
Opinion Evolution

We consider a dynamic group composed with a constant number of people and the people will change periodically. Every member in the community owns a value of confidence — a mechanism that measures the agent’s coherence to his or her own attitude. Based on Cellular Automata, the opinions of all agents are synchronously updated. As long as the updating frequency and updating proportion are appropriate, the open system can reach a democracy-like steady state. The majority of agents in the community will hold the same opinion.

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