大数据背景下档案信息化研究热点及演进脉络分析——基于生命周期理论视角  被引量:8

Hot Spots and Evolution Trend of Archives Informatization in the Context of Big DataBased on Life Cycle Theory

在线阅读下载全文

作  者:秦芳彧 张江 QIN Fangyu;ZHANG Jiang(Archives and Cultural Museum,Beihang University,Beijing,100191,China;Government Office,BeihangUniversity,Beijing,100191,China)

机构地区:[1]北京航空航天大学档案与文博馆,北京100191 [2]北京航空航天大学党政办公室,北京100191

出  处:《辽宁大学学报(哲学社会科学版)》2020年第5期66-75,共10页Journal of Liaoning University(Philosophy and Social Sciences Edition)

基  金:国家社会科学青年基金项目“大数据时代档案服务业理论与实践研究”(17CTQ048)。

摘  要:在大数据背景下,精准识别我国档案信息化的研究热点并揭示其演化脉络与结构特征,可以为后续研究与知识延伸提供理论借鉴与应用参考。基于生命周期理论视角,借助社会网络分析方法,在提取中国知网CNKI数据库关键词的基础上,利用量化指标体系与可视化图谱进行学科热点主题研究。发文量分析表明热点主题在时间维度呈现出典型的生命周期趋势;词频统计与可视化图谱显示研究热点从理论层面到应用层面的生命发展脉络;以不同指标从不同维度评价整体网络,结果显示网络结构的阶段性特点显著。It is extremely urgent to design a perfect analysis perspective and research system for accurately distinguishing the hot topics and revealing evolution trends as well as structure characteristics of archive informatization in China in the context of big data.Keywords of academic articles in the field of archive informatization from CNKI database are firstly collected.Then,by means of social network analysis,hot topics are analyzed by using quantitative index and visual maps based on life cycle perspective.Analysis of the quantity of academic papers shows that the hot topics of archive informatization presents typical life cycle trend in time dimension.Results of keyword frequencies and visualization maps indicate that thelife cycle characteristics of hot topics are developing from theory to application.Evaluation results of overall networks with different dimensions and indicators show significant stage characteristics of network structure.Research perspective and thinking system provide theoretical and application references for the follow-up research and knowledge extension in this field.

关 键 词:档案信息化 研究热点 生命周期理论 社会网络分析 

分 类 号:C93-05[经济管理—管理学] C812

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象