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Digital humanities research: interdisciplinary collaborations, themes and implications to library and information science

机译:数字人文研究所:跨学科合作,主题和对图书馆和信息科学的影响

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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.
机译:目的 - 本文的目的是通过应用社交网络分析和可视化工具来研究数字人文科学(DH)研究中的跨学科合作的结构,模式和主题。设计/方法/方法样品包括截至2018年12月的科学核心收集网中含有DH研究的文章。首先,从主题类别中提取代表纪律处分合作的共同发生数据。其次,计算了描述性统计,网络指标和跨学科社区。三是根据系统关键词,作者关键词,标题和摘要的不同跨学科协作社区的研究主题。调查结果表明,虽然DH研究中涉及的学科范围随着时间的推移广泛和发展,但大多数跨学科合作都集中在几个学科中,包括计算机科学,图书馆和信息科学,语言学和文学。该研究进一步揭示了一些基于紧密合作的纪律和这种跨学科合作社区的不断发展的社区。为了更好地了解紧密协作关系,研究痕迹并分析了跨学科社区的研究主题和主题。最后,讨论了DH研究结果的影响。原创性/值 - 本研究应用了各种信息和工具,揭示了DH研究中的纪律之间的协作结构,模式和主题。

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