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

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

Assessıng The Dıffusıon Of Nanotechnology In Turkey: A Socıal Network Analysıs Approach

This dissertation assesses the diffusion of nanoscience and nanotechnology in the scientific community in the last decade using Social Network Analysis (SNA) in Turkey. This dissertation aims to evaluate the flow of knowledge diffusion of nanotechnology among scientists by using ethnographic methods, co-words analysis and by focusing on an invisible college in the scientific community in terms of citation analysis in Turkey. A total of 10,062 articles and reviews were extracted from WoS (2664 between 2000 and 2005, and 7398 between 2006 and 2011) using a compound text query. Results compiled from co-authorship network analysis comprised a high closeness centrality indicating the smallworld phenomenon which facilitates the diffusion of nano-related technology in Turkey. We discovered the scientists who are instrumental in the diffusion of nanotechnology knowledge in the network. We test the hypotheses that: (1) prolific authors stimulate the diffusion of nanotechnology in network structure; (2) dissemination of nanotechnology is more diffusive within sub-clusters than that of the whole network structure; and (3) taxonomy identified by co-word analysis in the research process matches the findings at the global level. Universities with the highest co-occurrence in terms of centralities in the network structure were studied. Then, we compared the results from each period to investigate the rate of diffusion of nano-related technology in Turkey. We found out that research on nano-related technology is done in a wide spectrum from Materials to Biomedical Sciences. Moreover, we found that TÜBİTAK and the Ministry of Development (MoD) have increased their funding support. We corroborate the findings by interviewing the key scientists or authors who are instrumental in the diffusion of nanorelated technologies in Turkey. We collected and elaborated on 10 interviewees’ responses using a qualitative method (Latent Semantic Analysis). Outcomes indicated that scientists’ v behavior who participated in interviews share similar patterns matching their co-authorship maps. It was concluded that the diffusion of nano-related technology is steadily progressing due to scientific collaboration among scientists through social network