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基于共词分析和可视化的我国神经病学领域热点监测

魏丽 张云秋

中华医学图书情报杂志Issue(1):61-67,7.
中华医学图书情报杂志Issue(1):61-67,7.DOI:10.3969/j.issn.1671-3982.2015.01.013

基于共词分析和可视化的我国神经病学领域热点监测

Co-words and visual analysis-based monitoring of hot spots in domestic neurology

魏丽 1张云秋1

作者信息

  • 1. 吉林大学公共卫生学院医学信息学系,吉林 长春130021
  • 折叠

摘要

Abstract

The research hot spots and development in domestic neurology were analyzed by co-words analysis, visual analysis and the combination of them, which showed that the co-occurrence relation between high frequency words could display the structure and hot spots of subject headings in neurology, analysis of the cluster evolution and position could dynamically reveal the hot spots and development in neurology, and comprehensive analysis of words and their classes could directly and overall demonstrate the hot spots and development in neurology.

关键词

共词分析/聚类分析/战略坐标图/社会网络分析/神经病学

Key words

Co-words analysis/Cluster analysis/Strategic coordinate diagram/Social network analysis/Neurology

分类

社会科学

引用本文复制引用

魏丽,张云秋..基于共词分析和可视化的我国神经病学领域热点监测[J].中华医学图书情报杂志,2015,(1):61-67,7.

基金项目

吉林大学公共卫生学院一万方数据股份有限公司联合实验室二期合作项目“基于万方医学文献的学科热点探测模型的设计与实现”(371143433427) (371143433427)

中华医学图书情报杂志

OACSTPCD

1671-3982

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