CSSCI体现的我国人文社科领域知识流动探析

An Exploration of Disciplinary Knowledge Flows via CSSCI

文章采用自引率(CsR)和知识流动率(FR)指标,通过结合施引视角和被引视角的引文网络,借助可视化工具VOSviewer和Pajek对CSSCI体现的我国人文社科学科之间的知识流动情况进行了探析。研究揭示在我国人文社科学科中,自引率和知识流动率最低的学科均为统计学,表明统计学在人文社科学科的知识流动中扮演着很重要的知识输出角色。23个人文社科学科中有11个学科为流入型学科,其余12个学科为流出型学科。经济学和管理学是知识流入和流出的两大主要学科。

By using indicators of self-citation rate(CsR)and knowledge flow rate(FR),and combining citation networks from both citing and cited perspectives,it is revealed that the discipline with the lowest CsR and FR is statistics,which indicates that statistics plays an important role in the knowledge output.Among the 23 CSSCI disciplines,11 are inflow ones and the remaining 12 are outflow ones.Economics and management are two major disciplines in which knowledge keeps frequently inflow and outflow.