学习型社区用户行为演化仿真研究

doi:10.16182/j.issn1004731x.joss.201803015

摘要/Abstract

摘要： 学习型网络社区作为以分享知识为主要目的平台,其中用户的参与行为与其他网络社区有所差异。基于行为经济学中心理账户理论,结合结构方程模型分析用户参与行为的影响因素,并基于人工系统的社会计算建模方法构建仿真模型,在NETLOGO仿真平台中进行对比分析,探索总结其演化规律。研究得到学习型社区中用户的心理账户包括“获得知识”,“学习兴趣”,“归属感”,以及“时间”账户。根据仿真实验对比,为学习型社区的管理者改进社区管理、提高用户黏度提供决策依据。

关键词: 学习型网络社区, 心理账户, 用户行为, 演化, 社会计算

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

中图分类号:

TP391.9

蒋丽娜, 单晓红, 刘晓燕, 李红. 学习型社区用户行为演化仿真研究[J]. 系统仿真学报, 2018, 30(3): 886-894.

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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