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Evolution of Online Community Opinion Based on Opinion Dynamics

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 849)

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.

Keywords

Opinion Bounded confidence model Simulation Society and low Livelihood 

Chinese Library Classification

C936 TP39 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.College of EconomyWuhan University of TechnologyWuhanChina
  2. 2.Huazhong Science and Technology UniversityWuhanChina

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