Diffusion of Latent Semantic Analysis as a Research Tool: A Social Network Analysis Approach

Tonta, Yaşar and Darvish, Hamid R. Diffusion of Latent Semantic Analysis as a Research Tool: A Social Network Analysis Approach., 2010 . In Symposium on Informetrics and Scientometrics Research, 2009 ASIS&T Annual Meeting Thriving on Diversity - Information Opportunities in a Pluralistic World, Vancouver (Canada), 6-11 November 2009. [Conference paper]


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English 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.

Item type: Conference paper
Keywords: Latent semantic analysis, social network analysis, co-authorship analysis, cluster analysis
Subjects: B. Information use and sociology of information > BG. Information dissemination and diffusion.
L. Information technology and library technology > LC. Internet, including WWW.
B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: prof. yasar tonta
Date deposited: 18 Nov 2010
Last modified: 02 Oct 2014 12:17
URI: http://hdl.handle.net/10760/14689


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