摘要
在对不同学科核心期刊的引用记录网络形式化建模的基础上,从期刊的主引系数和被引系数两个维度统计和分析了期刊引用记录网络的网络特性,进一步描述跨学科交叉融合和跨知识转移的现象,并提出交叉融合和互引集群两个特征指标,对学科间交叉融合演化的过程和程度进行定量统计分析。通过实验和分析表明,基于社会网络的分析方法可以有效测量和分析跨学科的现象、进程及交叉程度。
Based on the formal modeling of the citation records of different core journals,the paper analyzes the network characteristics of the journal citation record network from two main dimensions of citation index and citation coefficient,describes the interdisciplinary cross fusion and cross knowledge transfer phenomenon,proposes two characteristics of cross fusion and mutual introduction clusters,and carries out quantitative statistical analysis of the process and degree of interdisciplinary cross-integration evolution.Experiments and analysis show that analysis method based on social network can effectively measure and analyze interdisciplinary phenomena,processes and degrees of intersection.
作者
庄金莲
王雯娟
陈佳丽
ZHUANG Jinlian;WANG Wenjuan;CHEN Jiali(Longyan University,Longyan,Fujian 364000,China)
出处
《龙岩学院学报》
2020年第2期12-17,共6页
Journal of Longyan University
基金
福建省本科高校教育教学改革研究项目(FBJG20170073)
福建省教育厅中青年教师教育科研项目(科技)(JA15501)。
关键词
跨学科交叉度
社会网络分析
知识转移
交叉融合
interdisciplinary intersection
social network analysis
knowledge transfer
cross fusion