Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Analysis of Economic Measurement Model Based on Approach of Social Computing

Authors
Peng Liang, Haochen Hua, Jianxin Zhou
Corresponding Author
Peng Liang
Available Online December 2017.
DOI
https://doi.org/10.2991/mcei-17.2017.170How to use a DOI?
Keywords
Economics measurement; Social computing; Distributed parallel
Abstract
The main purpose of this paper is to analyze the modern economic structure model based on approach of social computing and experimental modeling. A non-linear distributed parallel model is developed for the aim of further exploring the relation between the rate of economic growth and complex human behavior. Furthermore, one also finds a fact that the rate of economic growth is comprehensively affected by multi society elements. For instance, the greater the rigid demand of society, the stability of the parallel model would be. Overall, we hope our simulation results and analysis method could provide a new analytical pathway for guiding and enhancing the stability of economic growth and economic structure.
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Proceedings
2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Part of series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-430-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/mcei-17.2017.170How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Peng Liang
AU  - Haochen Hua
AU  - Jianxin Zhou
PY  - 2017/12
DA  - 2017/12
TI  - Analysis of Economic Measurement Model Based on Approach of Social Computing
BT  - 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.170
DO  - https://doi.org/10.2991/mcei-17.2017.170
ID  - Liang2017/12
ER  -