A model of two-way selection system for human behavior.
Two-way selection is a common phenomenon in nature and society. It appears in the processes like choosing a mate between men and women, making contracts between job hunters and recruiters, and trading between buyers and sellers. In this paper, we propose a model of two-way selection system, and present its analytical solution for the expectation of successful matching total and the regular pattern that the matching rate trends toward an inverse proportion to either the ratio between the two sides or the ratio of the state total to the smaller group's people number. The proposed model is verified by empirical data of the matchmaking fairs. Results indicate that the model well predicts this typical real-world two-way selection behavior to the bounded error extent, thus it is helpful for understanding the dynamics mechanism of the real-world two-way selection system.
Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China ; Suzhou Institute of Technology, Jiangsu University of Science and Technology, Suzhou, China.
Bin
B
Zhou
State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Shujia
S
Qin
Institute of Information Economy and Alibaba Business College, Hangzhou Normal University, Hangzhou, China.
Xiao-Pu
XP
Han
Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China.
Zhe
Z
He
Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China.
Jia-Rong
JR
Xie
Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China ; College of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou, China.
Bing-Hong
BH
Wang
D001519:Behavior; D002755:Choice Behavior; D003198:Computer Simulation; D005260:Female; D006801:Humans; D008297:Male; D008960:Models, Psychological; D015203:Reproducibility of Results