Evolutionary Simulation on User Behavior of Learning-Oriented Network Community

Authors

Lina Jiang, 1.Beihang University, School of Economics and Management, Beijing 100022, China; ;
Xiaohong Shan, 2.Beijing University of Technology, School of Economics and Management, Beijing 100124, China;
Xiaoyan Liu, 2.Beijing University of Technology, School of Economics and Management, Beijing 100124, China;
Li Hong, 1.Beihang University, School of Economics and Management, Beijing 100022, China; ;

Abstract

Abstract: As the Learning-Oriented network platform aims to share knowledge, its users’ behavior is different from that of other network communities. Based on the Mental Accounting Theory, affecting factors of the users’ behavior is analyzed with Structural Equation Model. The simulation model using social computing method is established. This paper makes the comparative analysis on the NETLOGO simulation platform to explore and summarize the rules of users’ behavior. The final mental accounts including "Gaining Knowledge", "Learning Interest", "Sense of Belonging", and "Time". According to the conclusions and experiments, This paper provides the basis of decision making for the managers of Learning-Oriented network community to improve users’ vitality.

Recommended Citation

Jiang, Lina; Shan, Xiaohong; Liu, Xiaoyan; and Hong, Li (2019) "Evolutionary Simulation on User Behavior of Learning-Oriented Network Community," Journal of System Simulation: Vol. 30: Iss. 3, Article 15.
DOI: 10.16182/j.issn1004731x.joss.201803015
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss3/15

First Page

886

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201803015

Last Page

894

CLC

TP391.9

Recommended Citation

Jiang Lina, Shan Xiaohong, Liu Xiaoyan, Li Hong. Evolutionary Simulation on User Behavior of Learning-Oriented Network Community[J]. Journal of System Simulation, 2018, 30(3): 886-894.

Corresponding Author

Li Hong,

DOI

10.16182/j.issn1004731x.joss.201803015