IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v76y2008i3d10.1007_s11192-007-1898-2.html
   My bibliography  Save this article

How to identify emerging research fields using scientometrics: An example in the field of Information Security

Author

Listed:
  • Woo Hyoung Lee

    (Institute for Information Technology Advancement)

Abstract

In the highly competitive world, there has been a concomitant increase in the need for the research and planning methodology, which can perform an advanced assessment of technological opportunities and an early perception of threats and possibilities of the emerging technology according to the nation’s economic and social status. This research is aiming to provide indicators and visualization methods to measure the latest research trend and aspect underlying scientific and technological documents to researchers and policy planners using “co-word analysis”. Information Security field is a highly prospective market value. In this paper, we presented an analysis Information Security. Co-word analysis was employed to reveal patterns and trends in the Information Security fields by measuring the association strength of terms representatives of relevant publications or other texts produced in the Information Security field. Data were collected from SCI and the critical keywords could be extracted from the author keywords. These extracted keywords were further standardized. In order to trace the dynamic changes in the Information Security field, we presented a variety of technology mapping. The results showed that the Information Security field has some established research theme and also rapidly transforms to embrace new themes.

Suggested Citation

  • Woo Hyoung Lee, 2008. "How to identify emerging research fields using scientometrics: An example in the field of Information Security," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 503-525, September.
    • Handle: RePEc:spr:scient:v:76:y:2008:i:3:d:10.1007_s11192-007-1898-2
    DOI: 10.1007/s11192-007-1898-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-007-1898-2
    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/s11192-007-1898-2?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. Carmen Galvez & Félix Moya-Anegón, 2007. "Standardizing formats of corporate source data," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 3-26, January.
    2. Chin-tsai Lin & Chang-tzu Chiang, 2007. "Evaluating the performance of sponsored Chinese herbal medicine research," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 67-84, January.
    3. Loet Leydesdorff, 2007. "Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 391-405, June.
    4. Peters, H. P. F. & van Raan, A. F. J., 1993. "Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling," Research Policy, Elsevier, vol. 22(1), pages 23-45, February.
    5. Ying Ding & Gobinda G. Chowdhury & Schubert Foo, 2000. "Journal as Markers of Intellectual Space: Journal Co-Citation Analysis of Information Retrieval Area, 1987–1997," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(1), pages 55-73, January.
    Full references (including those not matched with items on IDEAS)

    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. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    2. Cathelijn J. F. Waaijer & Cornelis A. Bochove & Nees Jan Eck, 2011. "On the map: Nature and Science editorials," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 99-112, January.
    3. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    4. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    5. Yu-Wei Chang & Mu-Hsuan Huang & Chiao-Wen Lin, 2015. "Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2071-2087, December.
    6. Agnieszka Konys, 2019. "Green Supplier Selection Criteria: From a Literature Review to a Comprehensive Knowledge Base," Sustainability, MDPI, vol. 11(15), pages 1-41, August.
    7. Gabriele Sampagnaro, 2023. "Keyword occurrences and journal specialization," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5629-5645, October.
    8. Cristian Colliander & Per Ahlgren, 2012. "Experimental comparison of first and second-order similarities in a scientometric context," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 675-685, February.
    9. Markus Gmür, 2003. "Co-citation analysis and the search for invisible colleges: A methodological evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(1), pages 27-57, January.
    10. Juntao Zheng & Niancai Liu, 2015. "Mapping of important international academic awards," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 763-791, September.
    11. Fritze, Martin P. & Urmetzer, Florian & Khan, Gohar F. & Sarstedt, Marko & Neely, Andy & Schäfers, Tobias, 2018. "From Goods to Services Consumption: A Social Network Analysis on Sharing Economy and Servitization Research," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 2(3), pages 3-16.
    12. Criscuolo, Paola & Salter, Ammon & Sheehan, Tony, 2007. "Making knowledge visible: Using expert yellow pages to map capabilities in professional services firms," Research Policy, Elsevier, vol. 36(10), pages 1603-1619, December.
    13. Zhang, Yi & Lu, Jie & Liu, Feng & Liu, Qian & Porter, Alan & Chen, Hongshu & Zhang, Guangquan, 2018. "Does deep learning help topic extraction? A kernel k-means clustering method with word embedding," Journal of Informetrics, Elsevier, vol. 12(4), pages 1099-1117.
    14. Yu Song & Bingrui Liu & Xiaohong Chen & Jia Liu, 2020. "Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
    15. Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez & Félix Moya-Anegón, 2010. "Detecting, identifying and visualizing research groups in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 307-319, February.
    16. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    17. Nubia Yaneth Gómez Velasco & Orlando Gregorio Chaviano & Alba Lorena Ballesteros Alfonso, 2021. "Dynamics of Colombian Scientific Production in Economics: A Bibliometric Study in Scopus 2007-2019," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 95, pages 277-309, July-Dece.
    18. Ronald Rousseau & Lin Zhang, 2008. "Betweenness centrality and Q-measures in directed valued networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 575-590, June.
    19. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    20. Worapan Kusakunniran & Amit Singh Dahal & Wantanee Viriyasitavat, 2018. "Journal Co-Citation Analysis for Identifying Trends of Inter-Disciplinary Research: An Exploratory Case Study in a University," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-22, December.

    More about this item

    Statistics

    Access and download statistics

    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:76:y:2008:i:3:d:10.1007_s11192-007-1898-2. 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.