Effects of awareness and policy on green behavior spreading in multiplex networks

Abstract As green behavior plays an increasingly important role today, in this paper, we aimed at investigating the spreading process of city resident green behavior. We applied classical threshold model and modified contagion model into a multiplex network to illustrate this dynamic process. Since people always act in conformity with the majorities when they make decisions or take actions, we consider the effects on negative individuals from their positive friends. Only when the proportion of centrist’s positive friends surpassed the local awareness ratio α , will he become positive. Also, we consider the influence from green awareness, which facilitate the green behavior. Last but not least, compulsory policy is also taken into account because it will force specific negative individuals to take such green behavior. The theoretical analysis is conducted by microscopic Markov chain approach and the numerical simulations are performed based on the Monte Carlo simulation. The results show that the intensity of policy regulation θ plays a vital role in both spreading threshold and final green behavior size. We attain a new explanation on the extinction of some behaviors and may provide advice on policy modification.

[1]  Sergio Gómez,et al.  On the dynamical interplay between awareness and epidemic spreading in multiplex networks , 2013, Physical review letters.

[2]  Stewart Barr,et al.  Strategies for sustainability: citizens and responsible environmental behaviour , 2003 .

[3]  W. A. ThompsonJr.,et al.  A Simple Threshold Model for the Classical Bioassay Problem , 1981 .

[4]  Laura Varela-Candamio,et al.  The importance of environmental education in the determinants of green behavior: A meta-analysis approach , 2018 .

[5]  Ginestra Bianconi,et al.  Weighted Multiplex Networks , 2013, PloS one.

[6]  Kimmo Kaski,et al.  Multi-layer weighted social network model , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  J. Pacheco,et al.  The Social Contagion Model: Exploring the Role of Public Opinion on the Diffusion of Antismoking Legislation across the American States , 2012 .

[8]  Sergio Gómez,et al.  Competing spreading processes on multiplex networks: awareness and epidemics , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Suho Bae,et al.  State-Level Institutional Pressure, Firms' Organizational Attributes, and Corporate Voluntary Environmental Behavior , 2011 .

[10]  Qunwei Wang,et al.  Urban resident energy-saving behavior: a case study under the A2SC framework , 2018, Natural Hazards.

[11]  Sarah K. Chase,et al.  Citizen Science: Exploring the Potential of Natural Resource Monitoring Programs to Influence Environmental Attitudes and Behaviors , 2018 .

[12]  F. Jawadi,et al.  Boundedness and nonlinearities in public debt dynamics: A TAR assessment , 2013 .

[13]  Shlomo Havlin,et al.  Dynamic opinion model and invasion percolation. , 2009, Physical review letters.

[14]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[15]  Vito Latora,et al.  Measuring and modelling correlations in multiplex networks , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  Guijuan Zhang,et al.  A method of emotion contagion for crowd evacuation , 2017 .

[17]  Milind Tambe,et al.  Empirical Evaluation of Computational Emotional Contagion Models , 2011, IVA.

[18]  Hai-Feng Zhang,et al.  Effects of awareness diffusion and self-initiated awareness behavior on epidemic spreading - An approach based on multiplex networks , 2015, Communications in Nonlinear Science and Numerical Simulation.

[19]  Martin A. Nowak,et al.  Infectious Disease Modeling of Social Contagion in Networks , 2010, PLoS Comput. Biol..

[20]  Z. Wang,et al.  The structure and dynamics of multilayer networks , 2014, Physics Reports.

[21]  Ruijin Du,et al.  Non-consensus opinion model with a neutral view on complex networks , 2016 .

[22]  Vito Latora,et al.  Structural measures for multiplex networks. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Jun Bi,et al.  An empirical study on the driving mechanism of proactive corporate environmental management in China. , 2010, Journal of environmental management.

[24]  Hong Chen,et al.  Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study , 2017 .

[25]  Xin Jiang,et al.  Two-stage effects of awareness cascade on epidemic spreading in multiplex networks. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  Francisco Aparecido Rodrigues,et al.  Multilayer networks: metrics and spectral properties , 2015, ArXiv.

[27]  Weiyi Liu,et al.  Principled Multilayer Network Embedding , 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).