基于研究兴趣相似性网络的我国图书馆学研究社群分析  

Analysis on Domestic Research Community of Libiary Science Based on Research Interest Similarity Network

作　　者：江文华 徐健[1] 李纲[1] 李阳 Jiang Wenhua;Xu Jian;Li Gang;Li Yang(Center for Studies of Information Resources,Wuhan University,Wuhan 430072,China;School of Information Management,Nanjing University,Nanjing 210023,China)

机构地区：[1]武汉大学信息资源研究中心,湖北武汉430072 [2]南京大学信息管理学院,江苏南京210023

出　　处：《现代情报》2019年第9期21-27,共7页Journal of Modern Information

基　　金：国家自然科学基金重大课题“国家安全大数据综合信息集成与分析方法”(项目编号:71790612);中国博士后科学基金项目“融合语义与关系的科研社群识别与演化研究”(项目编号:2018M630885),中国博士后科学基金项目“面向城市应急管理的情报能力评价体系构建与实证研究”(项目编号:2018M632287)

摘　　要：[目的/意义]从学者研究兴趣视角出发,探究图书馆领域研究现状,分析该领域社群结构。[方法/过程]从CSSCI数据库中下载“中图分类号=G250”的所有论文,通过Java程序处理数据,利用“机器+人工”进行作者消歧。使用普莱斯定理识别图书馆领域核心作者,利用学者科研成果提取作者的研究兴趣,构建该领域核心作者研究兴趣相似性网络,使用Louvain方法对该领域研究者进行社群划分。计算各社群研究兴趣模型,并计算各个社群间的研究兴趣相似性。[结果/结论]研究发现:1)图书馆学作者发文频次与核心作者研究兴趣相似性服从幂律分布;2)图书馆学领域核心作者按研究兴趣可分为6个社群;3)C1-C2、C2-C3、C3-C4社群间存在强相似性,C6社群与其他社群相似性较低。[Purpose/Significance]From the perspective of scholars’ research interests,this paper explored the research status of the library science and analyzes the community structure in this field.[Method/Process]This paper firstly downloaded all the papers of"CLC=G250"from the CSSCI database,processed the data using Java program,and used"machine & manual"method for author disambiguation.Using the Price Law to identify the core authors in the library field,using the scholars’ scientific research outputs to extract the author’s research interest,construct the core interest research similarity network in this field,and use the Louvain method to divide the researchers into the community.Then,this paper calculated the interest model of each community research and the similarity of research interests among different communities.[Result/Conclusion]The study found that(1)the frequency of anthor with different output level and the similarity of research interest between co-authors in library science obeyed power law distribution;(2)the core authors of the library science could be divided into 6 communities according to their research interests;(3)C1-C2,C2-C3 and C3-C4 community dyads were more similar than other dyads,and the C6 community was little similar with other communities.

关 键 词：研究兴趣 相似性网络 图书馆学 研究社群 

分 类 号：G250??[文化科学—图书馆学]