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Digital humanities research: interdisciplinary collaborations, themes and implications to library and information science
Journal of Documentation ( IF 2.034 ) Pub Date : 2020-09-03 , DOI: 10.1108/jd-05-2020-0072
Fangli Su , Yin Zhang , Zachary Immel

Purpose

The purpose of this paper is to examine the structure, patterns and themes of interdisciplinary collaborations in the digital humanities (DH) research through the application of social network analysis and visualization tools.

Design/methodology/approach

The sample includes articles containing DH research in the Web of Science Core Collection as of December 2018. First, co-occurrence data representing collaborations among disciplinary were extracted from the subject category. Second, the descriptive statistics, network indicators and interdisciplinary communities were calculated. Third, the research topics of different interdisciplinary collaboration communities based on system keywords, author keywords, title and abstracts were detected.

Findings

The findings reveal that while the scope of disciplines involved in DH research is broad and evolving over time, most interdisciplinary collaborations are concentrated among several disciplines, including computer science, library and information science, linguistics and literature. The study further uncovers some communities based on closely collaborating disciplines and the evolving nature of such interdisciplinary collaboration communities over time. To better understand the close collaboration ties, the study traces and analyzes the research topics and themes of the interdisciplinary communities. Finally, the implications of the findings for DH research are discussed.

Originality/value

This study applied various informetric methods and tools to reveal the collaboration structure, patterns and themes among disciplinaries in DH research.



中文翻译:

数字人文研究:跨学科合作,主题及其对图书馆和信息科学的影响

目的

本文的目的是通过社交网络分析和可视化工具的应用,研究数字人文(DH)研究中跨学科合作的结构,模式和主题。

设计/方法/方法

该样本包括截至2018年12月Web of Science核心合集中包含DH研究的文章。首先,从学科类别中提取代表学科之间合作的共现数据。其次,计算了描述性统计数据,网络指标和跨学科社区。第三,基于系统关键词,作者关键词,标题和摘要,确定了跨学科协作社区的研究课题。

发现

研究结果表明,尽管DH研究涉及的学科范围广泛且随着时间而发展,但大多数跨学科的合作都集中在多个学科之间,包括计算机科学,图书馆和信息科学,语言学和文学。该研究进一步发现了一些基于紧密合作学科的社区,以及这些跨学科协作社区随着时间的推移而不断发展的性质。为了更好地理解紧密的合作关系,本研究跟踪和分析了跨学科社区的研究主题和主题。最后,讨论了这些发现对DH研究的意义。

创意/价值

这项研究运用各种信息计量方法和工具来揭示卫生研究中各学科之间的协作结构,模式和主题。

更新日期:2020-09-03
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