基于本体关系的群体事件网络关注度影响因素数据挖掘研究  

Research on the Data Mining of the Influential Factors of Group Event Network based on Ontology Relation

作　　者：巩晓敏 沈惠璋[1] 邓莎莎 GONG Xiaomin;SHEN Huizhang;DENG shasha(Antai College of Economics ＆ Management,Shanghai Jiao Tong University,Shanghai 200030,China;College of International Business,Shanghai International Studies University,Shanghai 200083,China)

机构地区：[1]上海交通大学安泰经济与管理学院,上海200030 [2]上海外国语大学国际工商管理学院,上海200083

出　　处：《上海管理科学》2018年第5期55-60,共6页Shanghai Management Science

基　　金：国家社科基金重大项目"群体行为涌现机理及风险辨识研究"(11&ZD174)

摘　　要：随着社会的发展,我国群体性事件逐渐增多,且发生得日益频繁,这极大地影响到了广大人民群众和相关企事业单位的正常生活和生产。尤其是伴随着互联网的日益普及,越来越多的群体事件以网络为依托反映个人诉求,群体事件网络关注度成为众多学者关注的焦点。在分析群体事件特征的基础上,运用基于本体关系的数据挖掘算法,对群体事件网络关注度进行分类,获取了分类规则,并对分类规则进行了分析,为我国群体事件预警和治理提供了决策依据。Recently,group event has brought great distress to people＇s daily life.With the development of the Internet,agrowing number of people use web to come up with personal demands,thus the degree of concern on group event become the focus of many scholars.Based on the analyzes on the characteristics of group event,this paper used the ontology-based data mining algorithms to classify the degree of network concern on group events,and acquired classification rules.The classification rules were analyzed,and come up with some suggestion for the early warning and management decision-making on the group event.

关 键 词：本体关系 群体事件 网络关注度 数据挖掘 

分 类 号：C94[自然科学总论—系统科学]