摘要
针对我国社会经济转型期间农村的社会稳定风险,认为群体负面情绪是导致农村群体事件的主导要素,急需对其传播机制进行识别和测度。在分析了我国农村社会强网络嵌入性特征的基础上,基于社会网络理论提出了农村群体负面情绪传播的网络影响要素及其计算方法;并且通过运用和优化元胞自动机建模方法,对农村群体负面情绪传播进行动态建模。仿真结果验证了社会网络特征属性,如意见领袖、干群关系等,对于农村群体负面情绪传播的影响作用显著。
This paper argued that the group negative emotion was the main leading factor for rural protests. Thus, the purpose was to identify and measure the spreading mechanism of group negative emotion. Firstly, it analysed the strong embedability of rural social, and proposed the network influential factors of the spreading of rural group negative emotion, as well as their com- puting methods. Secondly, through used and optimized the cellular automaton modeling method, it constructed the spreading model of rural group negative emotion. Lastly, it had a simulation implementation, and the results verify the significant affects of social network factors worked on the spreading of rural group negative emotion.
出处
《计算机应用研究》
CSCD
北大核心
2015年第1期85-88,共4页
Application Research of Computers
基金
广东省科技厅
广东省高新区发展引导专项计划课题(2010A011200007)
关键词
农村
群体事件
群体负面情绪
社会网络
元胞自动机
rural
protest event
collective negative emotion
social networks
cellular automaton
