A Bibliometric Study on Information Seeking Behavior Research in Library and Information Science using Biblioshiny and VOSViewer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The primary aim of this attempt is to provide a thorough overview of Information Seeking Behavior (ISB) research within Library and Information Science (ISB) utilizing sophisticated bibliometric analysis tools. We searched the bibliographical data from Scopus and examined with the help of Biblioshiny and VOSviewer to demonstrate the visualization. A total of 1957 documents were included in the dataset. The growth rate is calculated at 7.88%. The total quantity of references quoted across all the documents in the dataset amounts to 57870. The study exposed that the highest number of articles (n=140) were produced in the year 2012 followed by the year 2013 (n=130). The study found USA was the top (Total production=1825) publishing country leading by a significant margin, followed by the UK, India, Canada, China, Iran, Australia, Nigeria, Pakistan, and South Africa. Library Philosophy and Practice leads with the highest number of publications, indicating its significant relevance and impact in the field, followed by other journals like Health Information and libraries journal, Journal of the medical library association. The study highlighted the frequency of usage of specific information and information-seeking terms in the dataset such as human and humans and information seeking as the most commonly used terms. The study delivers a bibliometric study of publications available in the Scopus database on ISB in the area of LIS of the period of 1966-2022.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.113 | 0.176 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.042 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it