Diffusion of latent semantic analysis as a research tool: A social network analysis approach
Yazarlar (2)
Yaşar Tonta Hacettepe Üniversitesi, Türkiye
Doç. Dr. Hamid DERVİŞ Çankaya Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Informetrics (Q1) | ||
| Dergi ISSN | 1751-1577 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | Ingilizce | Basım Tarihi | 04-2010 |
| Cilt / Sayı / Sayfa | 4 / 2 / 166–174 | DOI | 10.1016/j.joi.2009.11.003 |
| Makale Linki | http://dx.doi.org/10.1016/j.joi.2009.11.003 | ||
| Özet |
| 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 … |
| Anahtar Kelimeler |
| Cluster analysis | Co-authorship analysis | Latent semantic analysis | Social network analysis |
Science Direct
Diffusion of latent semantic analysis as a research tool: A social network analysis approach
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 34 |
| Scopus | 40 |
| Google Scholar | 101 |