IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v126y2021i5d10.1007_s11192-021-03925-y.html
   My bibliography  Save this article

Evolution and diffusion of information literacy topics

Author

Listed:
  • Yating Li

    (Central China Normal University)

  • Ye Chen

    (Central China Normal University)

  • Qiyu Wang

    (Central China Normal University)

Abstract

Investigation of the topic of information literacy and its changes can be informative for researchers and provide a better understanding of the corresponding domains. This study conducted a topic model dynamic analysis of the articles on information literacy studies in the Web of Science core collection database that were published from 2005 to 2019. The global topics and their popularities, topical similarities and correlations, along with the evolution of temporal local topics and the diffusion of subject local topics were analyzed and presented. Nine global topics differed in terms of their temporal and subject characteristics, and this study focused on ability, technology, field, people, place and application of information literacy. For the temporal local topics, crossing was the main evolutionary mechanism; hence, the core topic words were relatively stable, but few new research directions have been explored in recent years. For the subject local topics, absorbing with division and absorbing were the main mechanisms, which supported the diffusion progress of information literacy studies among subjects. However, it is necessary to promote the development of future research through the innovative development of multidisciplinary integration. Researchers and practitioners should focus on the impact of information technology, increase the breadth and depth of the research field, and develop innovative evaluation methods that are based on data to promote the comprehensive, sustainable and effective improvement in information literacy.

Suggested Citation

  • Yating Li & Ye Chen & Qiyu Wang, 2021. "Evolution and diffusion of information literacy topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4195-4224, May.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:5:d:10.1007_s11192-021-03925-y
    DOI: 10.1007/s11192-021-03925-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-021-03925-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-021-03925-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. María Pinto, 2015. "Viewing and exploring the subject area of information literacy assessment in higher education (2000–2011)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 227-245, January.
    2. María Pinto & María Isabel Escalona-Fernández & Antonio Pulgarín, 2013. "Information literacy in social sciences and health sciences: a bibliometric study (1974–2011)," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1071-1094, June.
    3. Chen, Baitong & Tsutsui, Satoshi & Ding, Ying & Ma, Feicheng, 2017. "Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval," Journal of Informetrics, Elsevier, vol. 11(4), pages 1175-1189.
    4. María Pinto & Antonio Pulgarín & M. Isabel Escalona, 2014. "Viewing information literacy concepts: a comparison of two branches of knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2311-2329, March.
    5. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales & David Guerrero & Alejandro Uribe, 2019. "Scientific production on mobile information literacy in higher education: a bibliometric analysis (2006–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 57-85, July.
    6. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    7. Xie, Qing & Zhang, Xinyuan & Ding, Ying & Song, Min, 2020. "Monolingual and multilingual topic analysis using LDA and BERT embeddings," Journal of Informetrics, Elsevier, vol. 14(3).
    8. Karmen Stopar & Tomaž Bartol, 2019. "Digital competences, computer skills and information literacy in secondary education: mapping and visualization of trends and concepts," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 479-498, February.
    9. Gerardo Gómez-García & Francisco-Javier Hinojo-Lucena & María-Pilar Cáceres-Reche & Magdalena Ramos Navas-Parejo, 2020. "The Contribution of the Flipped Classroom Method to the Development of Information Literacy: A Systematic Review," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bibi Abida Hussain & Si Li & Ahmed Alsanad, 2022. "Assessment of Information Literacy Abilities: A Case Study of Pakistan," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    2. Li, Jianhui & Ruan, Xinfeng & Zhang, Jin E., 2022. "The price of COVID-19-induced uncertainty in the options market," Economics Letters, Elsevier, vol. 211(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    2. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales & David Guerrero & Alejandro Uribe, 2019. "Scientific production on mobile information literacy in higher education: a bibliometric analysis (2006–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 57-85, July.
    3. Wang, Xiaoguang & He, Jing & Huang, Han & Wang, Hongyu, 2022. "MatrixSim: A new method for detecting the evolution paths of research topics," Journal of Informetrics, Elsevier, vol. 16(4).
    4. Xinxin Wang & Zeshui Xu & Yong Qin, 2022. "Structure, trend and prospect of operational research: a scientific analysis for publications from 1952 to 2020 included in Web of Science database," Fuzzy Optimization and Decision Making, Springer, vol. 21(4), pages 649-672, December.
    5. María Pinto & M. Isabel Escalona & Antonio Pulgarín & Alejandro Uribe-Tirado, 2015. "The scientific production of Ibero-American authors on information literacy (1985–2013)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1555-1576, February.
    6. Jian Xu & Yi Bu & Ying Ding & Sinan Yang & Hongli Zhang & Chen Yu & Lin Sun, 2018. "Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 973-995, November.
    7. Aljawharah M. Aldosari & Hala F. Eid & Yi-Ping Phoebe Chen, 2022. "A Proposed Strategy Based on Instructional Design Models through an LMS to Develop Online Learning in Higher Education Considering the Lockdown Period of the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(13), pages 1-14, June.
    8. Zhentao Liang & Jin Mao & Kun Lu & Gang Li, 2021. "Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9519-9542, December.
    9. Chiyao Sun & Ji’an Liu & Liana Razmerita & Yanru Xu & Jia Qi, 2022. "Higher Education to Support Sustainable Development: The Influence of Information Literacy and Online Learning Process on Chinese Postgraduates’ Innovation Performance," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    10. P. K. Priyan & Wakara Ibrahimu Nyabakora & Geofrey Rwezimula, 2023. "A bibliometric review of the knowledge base on financial inclusion," SN Business & Economics, Springer, vol. 3(2), pages 1-21, February.
    11. Hao Wang & Sanhong Deng & Xinning Su, 2016. "A study on construction and analysis of discipline knowledge structure of Chinese LIS based on CSSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1725-1759, December.
    12. Huixin Wang & Jing Xie & Shixian Luo & Duy Thong Ta & Qian Wang & Jiao Zhang & Daer Su & Katsunori Furuya, 2023. "Exploring the Interplay between Landscape Planning and Human Well-Being: A Scientometric Review," Land, MDPI, vol. 12(7), pages 1-24, June.
    13. Irena Sajovic & Bojana Boh Podgornik, 2022. "Bibliometric Analysis of Visualizations in Computer Graphics: A Study," SAGE Open, , vol. 12(1), pages 21582440211, January.
    14. Hicks, Alison, 2022. "The missing link: Towards an integrated health and information literacy research agenda," Social Science & Medicine, Elsevier, vol. 292(C).
    15. Yuetong Chen & Hao Wang & Baolong Zhang & Wei Zhang, 2022. "A method of measuring the article discriminative capacity and its distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3317-3341, June.
    16. Xindi Wang & Zeshui Xu & Xinxin Wang & Marinko Skare, 2022. "A review of inflation from 1906 to 2022: a comprehensive analysis of inflation studies from a global perspective," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 595-631, September.
    17. Qian, Yue & Liu, Yu & Sheng, Quan Z., 2020. "Understanding hierarchical structural evolution in a scientific discipline: A case study of artificial intelligence," Journal of Informetrics, Elsevier, vol. 14(3).
    18. Salma El Bied & Lorenzo Ros Mcdonnell & Ma Victoria de-la-Fuente-Aragón & Diego Ros Mcdonnell, 2024. "A Comprehensive Bibliometric Analysis of Real Estate Research Trends," IJFS, MDPI, vol. 12(3), pages 1-18, September.
    19. Xu, Zeshui & Wang, Xindi & Wang, Xinxin & Skare, Marinko, 2021. "A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020," Journal of Business Research, Elsevier, vol. 135(C), pages 304-318.
    20. Byungun Yoon & Songhee Kim & Sunhye Kim & Hyeonju Seol, 2022. "Doc2vec-based link prediction approach using SAO structures: application to patent network," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5385-5414, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:126:y:2021:i:5:d:10.1007_s11192-021-03925-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.