Abstract
Collective opinion of online community with different age structure obviously have different mechanisms of evolution, especially for different types of opinion events. For exploring the mechanIsms and providing management strategies for government, the bounded confidence model of individual opinion is constructed according to the related research on opinion dynamics. Chinese netizens psychology-behavior characteristics are considered in simulation modeling for presenting the relation of different types of opinion events to different types of age structure of communities. Simulation results show how three types of people (i.e., young, middle-age and old people) influence the evolution of two different collective opinion (i.e., society and low, and livelihood events). The corresponding management strategies for government are then given.
L. Yu and D. Chen—Supported by National Natural Science Foundation of China “Modelling, Behavioral Analysis and Optimized Design for Organizational System Structure under IoT environment” (Grant No. 71531009).
Senior engineering, Master degree of Computer science, Center for supervision and command of urban management, Shenzhen City. Research field: Supervision and Management of public sentiment and opinion.
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Yu, L., Chen, D., Hu, B. (2018). Evolution of Online Community Opinion Based on Opinion Dynamics. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_71
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DOI: https://doi.org/10.1007/978-981-13-0896-3_71
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