IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v4y2010i2p166-174.html
   My bibliography  Save this article

Diffusion of latent semantic analysis as a research tool: A social network analysis approach

Author

Listed:
  • Tonta, Yaşar
  • Darvish, Hamid R.

Abstract

Latent semantic analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from information retrieval to machine learning and so on. In this paper, we chart the development and diffusion of LSA as a research tool using social network analysis (SNA) approach that reveals the social structure of a discipline in terms of collaboration among scientists. Using Thomson Reuters’ Web of Science (WoS), we identified 65 papers with “latent semantic analysis” in their titles and 250 papers in their topics (but not in titles) between 1990 and 2008. We then analyzed those papers using bibliometric and SNA techniques such as co-authorship and cluster analysis. It appears that as the emphasis moves from the research tool (LSA) itself to its applications in different fields, citations to papers with LSA in their titles tend to decrease. The productivity of authors fits Lotka's Law while the network of authors is quite loose. Networks of journals cited in papers with LSA in their titles and topics are well connected.

Suggested Citation

  • Tonta, Yaşar & Darvish, Hamid R., 2010. "Diffusion of latent semantic analysis as a research tool: A social network analysis approach," Journal of Informetrics, Elsevier, vol. 4(2), pages 166-174.
    • Handle: RePEc:eee:infome:v:4:y:2010:i:2:p:166-174
    DOI: 10.1016/j.joi.2009.11.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157709000819
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2009.11.003?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. Howard D. White & Barry Wellman & Nancy Nazer, 2004. "Does citation reflect social structure?: Longitudinal evidence from the “Globenet” interdisciplinary research group," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(2), pages 111-126, January.
    2. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    3. Henry Small, 2006. "Tracking and predicting growth areas in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 595-610, September.
    4. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
    5. EUI Social and Labour Law Working Group, 2009. "The Fundamentalisation of Social Rights," EUI-LAW Working Papers 5, European University Institute (EUI), Department of Law.
    6. Yan Chen & Sherry Xin Li, 2009. "Group Identity and Social Preferences," American Economic Review, American Economic Association, vol. 99(1), pages 431-457, March.
    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. An, Jaehyeong & Kim, Kyuwoong & Mortara, Letizia & Lee, Sungjoo, 2018. "Deriving technology intelligence from patents: Preposition-based semantic analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 217-236.
    2. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
    3. Farshad Madani, 2015. "‘Technology Mining’ bibliometrics analysis: applying network analysis and cluster analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 323-335, October.
    4. Sohrabi, Babak & Khalilijafarabad, Ahmad, 2018. "Systematic method for finding emergence research areas as data quality," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 280-287.
    5. Bingke Zhu & Hao Fan & Bingbing Xie & Ran Su & Chaofeng Zhou & Jianping He, 2020. "Mapping the Scientific Research on Healthcare Workers’ Occupational Health: A Bibliometric and Social Network Analysis," IJERPH, MDPI, vol. 17(8), pages 1-22, April.
    6. Yu Cheng Lin & Sang Do Park, 2023. "Effects of FDI, External Trade, and Human Capital of the ICT Industry on Sustainable Development in Taiwan," Sustainability, MDPI, vol. 15(14), pages 1-24, July.

    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. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    2. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Xuefeng Wang & Shuo Zhang & Yuqin liu, 2022. "ITGInsight–discovering and visualizing research fronts in the scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6509-6531, November.
    4. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    5. Jake R. Nelson & Tony H. Grubesic, 2018. "Environmental Justice: A Panoptic Overview Using Scientometrics," Sustainability, MDPI, vol. 10(4), pages 1-18, March.
    6. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
    7. Persson, Olle, 2010. "Identifying research themes with weighted direct citation links," Journal of Informetrics, Elsevier, vol. 4(3), pages 415-422.
    8. Liu, Xiang & Jiang, Tingting & Ma, Feicheng, 2013. "Collective dynamics in knowledge networks: Emerging trends analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 425-438.
    9. Andrej Kastrin & Dimitar Hristovski, 2021. "Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1415-1451, February.
    10. Bastian Schaefermeier & Gerd Stumme & Tom Hanika, 2021. "Topic space trajectories," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5759-5795, July.
    11. Mauricio Marrone, 2020. "Application of entity linking to identify research fronts and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 357-379, January.
    12. Holly N. Wolcott & Matthew J. Fouch & Elizabeth R. Hsu & Leo G. DiJoseph & Catherine A. Bernaciak & James G. Corrigan & Duane E. Williams, 2016. "Modeling time-dependent and -independent indicators to facilitate identification of breakthrough research papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 807-817, May.
    13. Chen, Kaihua & Guan, Jiancheng, 2011. "A bibliometric investigation of research performance in emerging nanobiopharmaceuticals," Journal of Informetrics, Elsevier, vol. 5(2), pages 233-247.
    14. Chaker Jebari & Enrique Herrera-Viedma & Manuel Jesus Cobo, 2021. "The use of citation context to detect the evolution of research topics: a large-scale analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2971-2989, April.
    15. Ivan Jarić & Jelena Knežević-Jarić & Mirjana Lenhardt, 2014. "Relative age of references as a tool to identify emerging research fields with an application to the field of ecology and environmental sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 519-529, August.
    16. Henry Small & Phineas Upham, 2009. "Citation structure of an emerging research area on the verge of application," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 365-375, May.
    17. Lu An & Xia Lin & Chuanming Yu & Xinwen Zhang, 2015. "Measuring and visualizing the contributions of Chinese and American LIS research institutions to emerging themes and salient themes," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1605-1634, December.
    18. Han Liu & Ying Liu & Yonglian Wang & Changchun Pan, 2019. "Hot topics and emerging trends in tourism forecasting research: A scientometric review," Tourism Economics, , vol. 25(3), pages 448-468, May.
    19. Hanning Guo & Scott Weingart & Katy Börner, 2011. "Mixed-indicators model for identifying emerging research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 421-435, October.
    20. Chaomei Chen & Jian Zhang & Michael S. Vogeley, 2010. "Making sense of the evolution of a scientific domain: a visual analytic study of the Sloan Digital Sky Survey research," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 669-688, June.

    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:eee:infome:v:4:y:2010:i:2:p:166-174. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    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.