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SSCI图书馆学与情报学领域作者主题可视化分析

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[目的/意义]旨在发现当前国际上LIS研究领域中的结构化特征,为未来相关学术研究和行业发展提供借鉴.[方法/过程]对 2009-2022 年SSCI中LIS分类下的文献题录数据建立作者—主题模型并进行可视化解读.在此基础上依据论文引证网络,将重点被引作者主题分布与领域整体主题分布作对比分析.[结果/结论]LIS相关研究与医学信息学、社会信息学相互交叉并拓展出了数据驱动型研究簇,其中企业发展等相关研究受到了领域内学者的广泛关注.
Visual Analysis of Author-topic of Library and Information Science in SSCI
[Purpose/significance]The aim is to discover the structural characteristics in the current international LIS research field and provide reference for the future academic research and industry development.[Method/process]This paper eatablishes an author-topic model for bibliographies under LIS classification in SSCI from 2009 to 2022 and carries on visual interpretation.On this ba-sis,the topic distribution of key cited authors is compared with the overall topic distribution in the field according to the paper citation network.[Result/conclusion]LIS related research intersects with medical informatics and social informatics and expands data-driven research cluster,in which enterprise development and other related research have attracted extensive attention from scholars in the field.

author-topic modelauthor-topic communitybinary networkvisual analysis

孙奇

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新疆财经大学图书馆 新疆乌鲁木齐 830012

作者—主题模型 作者—主题社区 二分网络 可视化分析

2024

情报探索
福建省科技情报学会,福建省科技信息研究所

情报探索

CHSSCD
影响因子:0.52
ISSN:1005-8095
年,卷(期):2024.(4)
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