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| Modeling the Coevolution of Innovation Diffusion and Network Structure with Consideration of the Asymmetry of Influence:a Simulation Study based on Information Entropy and Cumulative Advantage |
| Xie Li1,Zhao Peixin1,Ding Haixin2 |
| (1.School of Management,Shandong University,Jinan 250100，China;2.School of Tourism Management,Zhengzhou University,Zhengzhou 450001，China) |
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Abstract Innovation diffusion happens in social system; diffusion and social system always interact with each other.Network is an important way to depict this social factor; however,static or exogenously dynamic undirected innovation diffusion networks in literatures always either neglect or cannot reflect the coevolution of diffusion and social system embodied by network,and fail to capture the asymmetry of influence.Based on directed network,this study puts forward a conceptual frameworks to capture the coevolution of diffusion and network; following the perspectives of information searching and cognitive dissonance reduction,and based on information entropy and cumulative advantage,this study constructs mathematical models for network evolution and innovation adoption at the individual level.Based on the Repast Simphony 2.7 development platform,this study chooses a Java-based Agent-based Modeling approach to conduct comprehensive simulation experiments.Experiment data-based descriptive results reveal: innovation diffusions under dynamic and static network are significantly different,the evolution of network structure could increase the inequity of node out-degree,a better innovation result always comes with a more unequal node out-degree distribution; and other factors,including mass communication and personal communication,would also affect the coevolution of diffusion and network; and interactions exist among control variables.Referential results confirm the influences of control variables and the prevalence of interactions.
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Received: 16 September 2020
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