摘要
移动社交网络的兴起与发展促使网络舆情在极短的时间内迅速产生与演化。为科学有效地对移动社交网络舆情进行引导和控制,在详细分析移动社交网络舆情自身特点与影响因素的基础上,将层次分析法与模糊综合分析法相结合,构建基于AHP-模糊综合分析的移动社交网络舆情预警模型。并以"8.12天津港爆炸事故"进行实证分析,最终得出该事件的预警等级为"特别严重,Ⅰ级",这与专家对该事件预警等级的定性相吻合,从而较好说明了该模型的有效性和准确性。
The rise and development of mobile social network made the network public opinion can quickly generate and evolve in a very short period of time. In order to guide and control mobile social network public opinion scientifically and effectively, the paper analyzed the characteristics and influencing factors of mobile social network public opinion detailedly, and combined the analytical hierarchy process（ AHP） with fuzzy comprehensive analysis method. Then it constructed the mobile social network public opinion early- warning model that based on AHP fuzzy comprehensive analysis,and used ＂8. 12 Tianjin Harbor Explosion Accident＂ for empirical analysis, finally came to the conclusion that the events of the warning level for particularly serious, class I＂, the results and expert the forewarning grade of the event qualitative were consistent, so as to better illustrate the validity and accuracy of the model.
出处
《现代情报》
CSSCI
北大核心
2017年第1期41-44,65,共5页
Journal of Modern Information
基金
国家自然科学基金项目"基于混合智能计算的B2B复杂合同谈判模型研究"(项目编号:71540019)
黑龙江省自然科学基金项目"B to B电子商务中多属性依赖谈判模型研究"(项目编号:G2015003)
黑龙江科技大学研究生创新科研项目"移动社交网络舆情预警机制研究"(项目编号:YJSCX2016-011HKD)
黑龙江省哲学社会科学研究规划项目"绿色经济视角下新型城镇化模式设计"(项目编号:14B064)
关键词
移动社交
网络舆情
模糊综合分析
层次分析法
指标体系
预警模型
mobile social interaction
online public opinion
fuzzy comprehensive analysis
AHP
index system
early warning model
