基于共词网络的群智知识挖掘方法——在应急决策中应用  

Collectire intelligence knowledge mining method based on co-word network:Application in emergency decision-making

作　　者：徐选华[1,2] 黄丽 陈晓红 XU Xuan-hua;HUANG Li;CHEN Xiao-hong(School of business,Central South University,Changsha 410012,China;School of Frontier Crossover Studies,Hunan University of Technology and Business,Changsha 410083,China)

机构地区：[1]中南大学商学院,长沙410012 [2]湖南工商大学前沿交叉学院,长沙410083

出　　处：《管理科学学报》2023年第5期121-137,共17页Journal of Management Sciences in China

基　　金：国家自然科学基金资助重大项目(72293574);国家自然科学基金资助基础科学中心项目(72088101);国家自然科学基金资助项目(71971217)。

摘　　要：为了汇聚分布在社会网络中的群体智慧以合力化解特大公共安全突发事件重大风险,提出了一种基于共词网络的群智知识挖掘方法,并将其有效运用到突发事件应急管理当中.首先,提出了一种改进的共词网络构建方法,用以实现社会网络公众群智知识的可视化分析,从中获取应急决策属性参数信息;同时,为了确保数据质量、提高群智知识挖掘的有效性,综合数据影响力以及数据涵盖的主题信息两方面因素,构建了群智知识价值测度模型;而后,综合专家属性偏好与公众群体智慧,提出了一种基于群智知识的动态属性信息生成办法.最后,以中国新冠肺炎疫情特大公共安全事件应急决策为例,对本文所提方法进行了应用.A method for collectire intelligence knowledge mining based on co-word networks is proposed and effectively applied to emergency management of emergencies,to gather the collectire intelligence distributed in the social network for addressing the major risks of public safety emergencies.Firstly,an improved approach for constructing a co-word network is proposed to realize the visual analysis of public group wisdom in social networks and obtain information concerning emergency decision attributes parameters.Meanwhile,to ensure the data quality and improve the effectiveness of collectire intelligence knowledge mining,a collectire intelligence knowledge value measurement model is established by considering the data influence and the covered topic information.After that,an approach for dynamic decision attribute information production based on collectire intelligence knowledge is proposed by combining experts'attribute preferences with public group wisdom.Finally,the proposed method is applied to the mega public safety event of COVID-19 in China.

关 键 词：应急决策 共词网络 群体智慧 知识挖掘 新冠肺炎疫情 

分 类 号：C934[经济管理—管理学]