Open source design community simulation model research based on behavior data

被引：0
|
作者：
Hu Y. [1 ,2 ]
Zhou H. [3 ]
机构：
[1] Key Laboratory of Quality Infrastructure Efficacy Research, AQSIQ, Beijing
[2] AVIC China Aero-Polytechnology Establishment, Beijing
[3] Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 07期
关键词：
Behavior data; Complex adaptive system theory; Complex social network; Open source design community; Simulation model;
D O I：
10.13196/j.cims.2019.07.020
中图分类号：
学科分类号：
摘要：
Owing to the complex factors of open source design community such as large-scale community, complex social network and variable user behavior, a scientific decision hard be formulated. Through the analysis of open source design community's user behavior characteristics and community characteristics, a multi-agent simulation model was built with a series of community user behavior history data and social network data. By using the input parameters based on real data, the dynamic simulation of open source design community was carried out. Simulation results confirmed the validity of the multi-agent simulation model. The research could lay the foundation for open source design community's scientific management and optimization. © 2019, Editorial Department of CIMS. All right reserved.
引用
收藏
页码：1795 / 1805
页数：10
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