Research On The Dynamic Evolution Of The Hierarchical Structure Of Knowledge Network Under The Social Tagging Knowledge Organization Mode

Human perception of knowledge organization was in a hierarchy of tree structure for a long time,but as the intersection between disciplines strength continuously increased,knowledge of the subordinate relations gradually replaced by the relationship of knowledge.Especially in social tagging mode,the liberalization and discrete of user labels have made it difficult to judge the hierarchical gradient relationship from the external surface,and more scholars have proposed the flat layer view of social tagging.Social tagging knowledge organization model has been applied in numerous libraries and literature databases,and the hierarchical structure behind the external representation of its flat layers has always been the focus of the information science field community.Therefore,it is necessary to study the hierarchical gradient of community knowledge.This study adopts the method of literature measurement and actual investigation about the social tagging related theoretical research and practical application of the multiple dimensions of the statistics and analysis at domestic and abroad in order to lay a solid theoretical research foundation for follow-up study.Through combing and summary related problems of this domain,by means of the complex network theory,this study based on label co-occurrence relation between construction of domain knowledge network.On the basis of network path length label divided network structure into local level,on the basis of core-edge structure analysis method to reflect the overall situation of the evolution of the tag hierarchy,from the perspective of time series,dynamic tracking and analysis of the evolution process of local and macro hierarchical structure of labels.The results showed that,from a macro and micro comprehensive view,hierarchy of tags along with the development of the domain knowledge constantly change,and is accompanied the situation of label promotion,demotion,the interior of a hierarchy relationship is more complicated than traditional knowledge organization system.This study explores and tries to reveal the patterns and laws of local hierarchical evolution of tags.