The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The cognitive structure of Library and Information Science: Analysis of article title words
Abstract
This study comprises a suite of analyses of words in article titles in order to reveal the cognitive structure of Library and Information Science (LIS). The use of title words to elucidate the cognitive structure of LIS has been relatively neglected. The present study addresses this gap by performing (a) co‐word analysis and hierarchical clustering, (b) multidimensional scaling, and (c) determination of trends in usage of terms. The study is based on 10,344 articles published between 1988 and 2007 in 16 LIS journals. Methodologically, novel aspects of this study are: (a) its large scale, (b) removal of non‐specific title words based on the “word concentration” measure (c) identification of the most frequent terms that include both single words and phrases, and (d) presentation of the relative frequencies of terms using “heatmaps”. Conceptually, our analysis reveals that LIS consists of three main branches: the traditionally recognized library‐related and information‐related branches, plus an equally distinct bibliometrics/scientometrics branch. The three branches focus on: libraries, information, and science, respectively. In addition, our study identifies substructures within each branch. We also tentatively identify “information seeking behavior” as a branch that is establishing itself separate from the three main branches. Furthermore, we find that cognitive concepts in LIS evolve continuously, with no stasis since 1992. The most rapid development occurred between 1998 and 2001, influenced by the increased focus on the Internet. The change in the cognitive landscape is found to be driven by the emergence of new information technologies, and the retirement of old ones.
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Cites
Weber, R. (1990) · doi:10.4135/9781412983488 · Cited by 7,750
The decline in the concentration of citations, 1900–2007
Larivière, V., Gingras, Y., & Archambault, É. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21011 · Cited by 177
Cited by
Science Mapping: A Systematic Review of the Literature
Chen, C. (2017) · Journal of Data and Information Science · doi:10.1515/jdis-2017-0006 · Cited by 1,925
Xia, F., Wang, W., Bekele, T. M., & Liu, H. (2017) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2016.2641460 · Cited by 266
Evolution of library and information science, 1965–2005: Content analysis of journal articles
Tuomaala, O., Järvelin, K., & Vakkari, P. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23034 · Cited by 129
Stopar, K., & Bartol, T. (2019) · Scientometrics · doi:10.1007/s11192-018-2990-5 · Cited by 119
Metadata
- Authors
- Milojević, S., Sugimoto, C. R., Yan, E., & Ding, Y.
- Venue
- Journal of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2011-07-20
- Volume
- 62
- Issue
- 10
- Pages
- 1933-1953
- ISSN
- 1532-2882 (ISSN-L)
- 1532-2890
- OpenAlex
- W2032402175
- Cited by
- 187
- References
- 2
- FWCI
- 14.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- Milojević, S., Sugimoto, C. R., Yan, E., & Ding, Y. (2011). The cognitive structure of Library and Information Science: Analysis of article title words. Journal of the American Society for Information Science and Technology. https://doi.org/10.1002/asi.21602
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.