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Article

Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China

Economics and Management School, Wuhan University, Wuhan 430072, China
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Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(18), 3349; https://doi.org/10.3390/ijerph16183349
Submission received: 25 July 2019 / Revised: 30 August 2019 / Accepted: 31 August 2019 / Published: 11 September 2019

Abstract

In real life, garbage has caused great pollution to the environment. A garbage classification system is an effective way to manage this issue, and is an innovation in Shanghai, China. Innovation diffusion is the topic of this paper. This study uses a mathematical statistics method to formulate individual bounded rationality, and uses the specific graph structure of a scale-free network to characterize group structure. Then, a model of group behavior is constructed and the simulation experiment is run on the Python platform. The results show that: (1) In the case of general cognitive ability and high value innovation, most individuals in the group will accept the innovation in the process of innovation dissemination in a garbage classification system after several rounds of the game; (2) it is more helpful to improve the cognitive ability of individuals and the true value of innovation for the diffusion of innovation; and (3) the larger a group, the greater the scope of innovation diffusion and the more time is needed. It is helpful to expand the scope and reduce the time of innovation diffusion by increasing connections among individuals. The innovation of this study is the characterization of individual bounded rationality, which has a certain theoretical value. Meanwhile, the research results of this paper have important practical significance for the promotion of garbage classification, which can be used to popularize the concept of garbage classification.
Keywords: bounded rational individual; group structure; group behavior; scale-free network; diffusion of innovation; garbage classification bounded rational individual; group structure; group behavior; scale-free network; diffusion of innovation; garbage classification

Share and Cite

MDPI and ACS Style

Zheng, J.; Xu, M.; Cai, M.; Wang, Z.; Yang, M. Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China. Int. J. Environ. Res. Public Health 2019, 16, 3349. https://doi.org/10.3390/ijerph16183349

AMA Style

Zheng J, Xu M, Cai M, Wang Z, Yang M. Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China. International Journal of Environmental Research and Public Health. 2019; 16(18):3349. https://doi.org/10.3390/ijerph16183349

Chicago/Turabian Style

Zheng, Junjun, Mingyuan Xu, Ming Cai, Zhichao Wang, and Mingmiao Yang. 2019. "Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China" International Journal of Environmental Research and Public Health 16, no. 18: 3349. https://doi.org/10.3390/ijerph16183349

APA Style

Zheng, J., Xu, M., Cai, M., Wang, Z., & Yang, M. (2019). Modeling Group Behavior to Study Innovation Diffusion Based on Cognition and Network: An Analysis for Garbage Classification System in Shanghai, China. International Journal of Environmental Research and Public Health, 16(18), 3349. https://doi.org/10.3390/ijerph16183349

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