基于社会网络分析的我国图书馆大数据研究的内容关联分析  

Analysis of Content Correlation on Big Data Research of Library in China Based on Social Network Analysis

作　　者：张小琴[1] 孙承军[1] 王昊[2,3] 

机构地区：[1]金陵图书馆,江苏南京210019 [2]南京大学信息管理学院,江苏南京210023 [3]江苏省数据工程与知识服务重点实验室(南京大学),江苏南京210023

出　　处：《图书情报导刊》2017年第10期40-50,共11页Journal of Library and Information Science

基　　金：国家社科基金项目"以创新和质量为导向的哲学社会科学评价体系实证研究"(12BTQ037);"社群网络环境下开放内容的协作生产与共享机制研究"(12CTQ045)

摘　　要：基于CSSCI期刊的刊载论文,采用社会网络分析方法对我国"图书馆大数据"领域相关学术对象的内容关联特征及其变化进行了深入探讨和详细分析。在关键词网络中,词间关联非常稀松,但关键词的控制能力以及独立性都较强,经过一段时间的发展融合,资源、技术、服务成为该领域的主要研究方向。在期刊网络中,各期刊在研究内容的选择上并没有太大区别,《情报资料工作》《图书与情报》《情报理论与实践》和《图书馆建设》处于较核心的地位。学者网络也较为松散,研究共性不突出,核心学者也不突出。总体来看,目前我国"图书馆大数据"研究还处于初级阶段,"服务"是当前研究的主要方向,"技术""资源"研究还没有形成一定规模,呈现出重理论、轻实证,重想法、轻方法,重服务、轻技术的典型特点。Based on the thesis of CSSCI journals,this paper deeply discusses and analyzes the contextual characteristics and changes of China＇ s library big data related academic objects by using social network analysis method. In key words networks, the links between words are very loose while the control ability and independence of key works are quite strong. After a period of development and integration,resource,technology and service have become the main research interests in this field. In journal networks, all journals differ not much in selecting research contents. Information and Documentation Services, Library and Information, Information studies ：Theory and Application, Library Development now occupy the core position. Scholars networks also lack attentiveness. Research similarities and core scholars are not prominent. Overall, current China＇s library big data research still stays at the primary stage,with service as the main research direction, while technology and resource research haven＇t formed a certain scale yet, presents the typical features of emphasizing theory over demonstration, thoughts over methods, service over technology.

关 键 词：大数据 图书馆 内容关联 主题演化 社会网络分析 

分 类 号：G250.252[文化科学—图书馆学]