scholarly journals Online Social Network Information Dissemination Integrating Overconfidence and Evolutionary Game Theory

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Xiaochao Wei ◽  
Yanfei Zhang ◽  
Yuyao Fan ◽  
Guihua Nie
Keyword(s):  
Game Theory ◽  
Social Network ◽  
Evolutionary Game Theory ◽  
Information Dissemination ◽  
Online Social Network ◽  
Evolutionary Game ◽  
Network Information

Distributed social network resources based on evolutionary game theory

2014 ◽  
Author(s):  
Jianhua Du ◽  
Jiwu Xin ◽  
Hongtao Cheng ◽  
Shenghong Wu ◽  
Hu Wang
Keyword(s):  
Game Theory ◽  
Social Network ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Network Resources

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

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