基于共现关系的学科知识深度聚合研究

Research of Discipline Knowledge Aggregation Based on Cooccurrence

通过学科知识的深度聚合挖掘学科知识结构,是一种微观角度的科学结构研究,是文献计量学研究的重要组成部分。本文以学术文献和学者两种知识节点为中心,对学科知识进行聚合研究。根据不同共现关系和聚合方式,构建了基于共现关系的学科知识深度聚合模型,将聚合分为四个层次,并以文献的两个外部特征(作者和关键词)为例分析了不同聚合层次中学科知识聚合的深度以及挖掘学科知识结构的特点。另外,笔者认为学科知识聚合深度应包含聚合层次和共现强度这两项内容,为聚合深度的度量提供了一个新的视角。

It is a micro structural study to mine discipline knowledge structure through aggregation of discipline knowledge, which is also an important part of the bibliometrics research. Taking two kinds of knowledge nodes--the academic literature and scholars--as the center, this paper makes a study on discipline knowledge aggregation, and builds the model of discipline knowledge aggregation based on the In this model, aggregation is divided into four levels, and the depth of discipline knowledge aggregation and the characteristics of discipline knowledge structure are analyzed on each aggregation level. In addition, the author points out that the depth of knowledge aggregation should include aggregation levels and the co-occurrence strength, which is a new perspective tbr the measurement of aggregation depth.