Evolutionary Simulation on User Behavior of Learning-Oriented Network Community

doi:10.16182/j.issn1004731x.joss.201803015

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.

Key words: learning-oriented network community, mental accounting, user behavior, evolution, social computing

CLC Number:

TP391.9

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.

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