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

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  • 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
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    References listed on IDEAS

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    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. 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.
    5. Yan Chen & Sherry Xin Li, 2009. "Group Identity and Social Preferences," American Economic Review, American Economic Association, vol. 99(1), pages 431-457, March.
    6. 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.
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    Cited by:

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    2. 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.
    3. 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.
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    6. 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.

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