Knowledge structure transition in library and information science: topic modeling and visualization

Miyata, Yosuke; Ishita, Emi; Fang, Yang; Yamamoto, Michimasa; Iwase, Azusa; Kurata, Keiko

doi:10.1007/s11192-020-03657-5

Cited by 27 publications

(17 citation statements)

References 37 publications

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“…Miyata et al (2020) applied Latent Dirichlet Allocation to identify LIS topics. They analyzed full texts of articles in five LIS journals in 2000–2002 and 2015–2017.…”

Section: Literature Reviewmentioning

confidence: 99%

LIS research across 50 years: content analysis of journal articles

Järvelin

Vakkari

2021

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PurposeThis paper analyses the research in Library and Information Science (LIS) and reports on (1) the status of LIS research in 2015 and (2) on the evolution of LIS research longitudinally from 1965 to 2015.Design/methodology/approachThe study employs a quantitative intellectual content analysis of articles published in 30+ scholarly LIS journals, following the design by Tuomaala et al. (2014). In the content analysis, we classify articles along eight dimensions covering topical content and methodology.FindingsThe topical findings indicate that the earlier strong LIS emphasis on L&I services has declined notably, while scientific and professional communication has become the most popular topic. Information storage and retrieval has given up its earlier strong position towards the end of the years analyzed. Individuals are increasingly the units of observation. End-user's and developer's viewpoints have strengthened at the cost of intermediaries' viewpoint. LIS research is methodologically increasingly scattered since survey, scientometric methods, experiment, case studies and qualitative studies have all gained in popularity. Consequently, LIS may have become more versatile in the analysis of its research objects during the years analyzed.Originality/valueAmong quantitative intellectual content analyses of LIS research, the study is unique in its scope: length of analysis period (50 years), width (8 dimensions covering topical content and methodology) and depth (the annual batch of 30+ scholarly journals).

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“…Miyata et al (2020) applied Latent Dirichlet Allocation to identify LIS topics. They analyzed full texts of articles in five LIS journals in 2000–2002 and 2015–2017.…”

Section: Literature Reviewmentioning

confidence: 99%

LIS research across 50 years: content analysis of journal articles

Järvelin

Vakkari

2021

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“…Content analysis was a strategy used to ascertain and classify research theme/topic embarked by postgraduate students. In LIS, similar studies to examine trends of research based on content analysis were conducted by (Armann-Keown & Patterson, 2020;Miyata et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

“…Zong et al, (2013) conducted a study in China using postgraduate dissertations from 1994 to 2011 and found ontology, semantic web, electronic government, knowledge management and digital library were highly researched topics while research on cataloguing, digital library and knowledge organization were least researched. Miyata et al, (2020) conducted a study to identify LIS topics from 2000-2002 and 2015-2017. The study shows the internet influenced changes in LIS research. Song et al, (2020) revealed a change from traditional to digital library and research focus on data science.…”

Section: Literature Reviewmentioning

confidence: 99%

A seventeen-year Research Topic Dispersion and Methodological Choices among LIS Postgraduates in Tanzania

Ndenje-Sichalwe

Elia

2022

udslj

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The study explored research topics dispersal and research strategies of Library and Information Science (LIS) postgraduate students in Tanzania from 2000-2017. Data were collected from the East Africana research repository section of the UDSM Library and the Information Studies Programme (ISP) offices from June to November 2017. A total of 269 LIS dissertations were assessed using content analysis to classify research topics. Findings revealed topics extensively researched were information dissemination, information access and information seeking behaviour. Least researched topics were information privacy and ethics, reading habits and encouragement, copyright and Information policy. History of information science and librarianship, quantitative and qualitative research, multimedia, webometrics, human–computer interaction, systems analysis, digital security, internet crime and information licensing and fair use were not researched. In addition, mixed research approach was mostly preferred by students but experimental and action research were least used. The study contributes in LIS education mapping in Tanzania and likely the first study to show topics selection based on globally accepted LIS classification schemes. The study gives an insight on research topics and research strategies used in higher learning organizations (HLIs) in Tanzania and arguably most developing countries. Findings may improve quality of research offered in LIS schools by supporting LIS postgraduate training and establishing library technology hubs and laboratories to match the world LIS research trend and order.

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“…LDAvis (Sievert & Shirley, 2014), a web-based interactive visualization tool for qualitative assessment of topic models, enables an intuitive, yet profound, inspection of topic-term relationships in an LDA model (Miyata et al, 2020). The tool represents the inter-topic similarity as the distance between the topics, which is by calculating inter-topic Jensen-Shannon divergence (JS divergence) values.…”

Section: Research Papermentioning

confidence: 99%

Progress and Knowledge Transfer from Science to Technology in the Research Frontier of CRISPR Based on the LDA Model

Lyu

Yin

et al. 2022

Journal of Data and Information Science

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Purpose This study explores the underlying research topics regarding CRISPR based on the LDA model and figures out trends in knowledge transfer from science to technology in this area over the latest 10 years. Design/methodology/approach We collected publications on CRISPR between 2011 and 2020 from the Web of Science, and traced all the patents citing them from lens.org. 15,904 articles and 18,985 patents in total are downloaded and analyzed. The LDA model was applied to identify underlying research topics in related research. In addition, some indicators were introduced to measure the knowledge transfer from research topics of scientific publications to IPC-4 classes of patents. Findings The emerging research topics on CRISPR were identified and their evolution over time displayed. Furthermore, a big picture of knowledge transition from research topics to technological classes of patents was presented. We found that for all topics on CRISPR, the average first transition year, the ratio of articles cited by patents, the NPR transition rate are respectively 1.08, 15.57%, and 1.19, extremely shorter and more intensive than those of general fields. Moreover, the transition patterns are different among research topics. Research limitations Our research is limited to publications retrieved from the Web of Science and their citing patents indexed in lens.org. A limitation inherent with LDA analysis is in the manual interpretation and labeling of “topics”. Practical implications Our study provides good references for policy-makers on allocating scientific resources and regulating financial budgets to face challenges related to the transformative technology of CRISPR. Originality/value The LDA model here is applied to topic identification in the area of transformative researches for the first time, as exemplified on CRISPR. Additionally, the dataset of all citing patents in this area helps to provide a full picture to detect the knowledge transition between S&T.

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Knowledge structure transition in library and information science: topic modeling and visualization

Cited by 27 publications

References 37 publications

LIS research across 50 years: content analysis of journal articles

LIS research across 50 years: content analysis of journal articles

A seventeen-year Research Topic Dispersion and Methodological Choices among LIS Postgraduates in Tanzania

Progress and Knowledge Transfer from Science to Technology in the Research Frontier of CRISPR Based on the LDA Model

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