Abstract
With the global warming, soil erosion and a series of environmental problems are worsening. Green sustainable development has increasingly become a major issue of human concern. This study established a dynamic interaction model to explore the influence of green information and the social relations. Due to the continuous evolution of the network and the heterogeneity of individuals, the transition probability of each node is combined with time-varying parameters that reflect its current state. Then, guided by hypernetwork theory and microscopic Markov chain approach, this model is analyzed. Furthermore, the effects of various adjustment parameters on the green behaviors are compared and tested. The results show that behavior diffusion is not only affected by the diffusion of green information, but also closely related to the change of social relations. Finally, combined with the diffusion of green information, a propagation mechanism that simulates damped harmonic motion is proposed to maximize the green behavior. The results show that the final practice fraction of green behavior has been significantly improved.
Highlights
Green behavior refers to the activities of social organizations or natural persons following the green concepts of the world, such as choosing public transportation, recycling materials, effective using energy and protecting the living environment and species
As a well-known attitude-behavior relationship theory in social psychology, planned behavior theory has been introduced into the dynamic analysis of green behavior [11]
While analyzing the effect of green information diffusion on individual green behavior, inspired by the physical model of behavior description, we find that the attraction of green to individuals is similar to an oscillating system
Summary
Green behavior refers to the activities of social organizations or natural persons following the green concepts of the world, such as choosing public transportation, recycling materials, effective using energy and protecting the living environment and species. As an efficient way to describe the interaction between individuals at different levels, multiplex networks have been widely used to model this dynamic propagation process [20, 21]. The previous research on green behavior diffusion provides great reference and theoretical support for our work Most of these set the information and behavior to propagate in closed static systems. Considering the individual heterogeneity and time factors, the damped harmonic motion is combined with the diffusion of green information in the network to explore the propagation mechanism of green behavior maximization. The spread of green behavior is carried out in a behavior network, in which nodes correspond to real individuals, and links represent the relationships of people who are contacted in daily life
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