Indian Journal of Science and Technology
DOI: 10.17485/ijst/2015/v8i26/80470
Year: 2015, Volume: 8, Issue: 26, Pages: 1-7
Original Article
Ho-Hyun Park1 , Jaehwa Park2 and Young-Bin Kwon2*
1 Department of Electrical and Electronics Engineering, Chung-Ang University, Seoul, 156 – 756, Korea
2 Department of Computer Science and Engineering, Chung-Ang University, Seoul, 156 – 756, Korea; [email protected]
An extracting method of research trend in the field of a computer network which contained in the published papers of related conferences is presented. A topic is defined as a subset of vocabulary and the interest of the topic is represented as ‘saliency’. The saliency, the degree of topic interest is measured as a product of joint distributions of vocabularies which consist the topic. To reduce the computational burden, clustering and selection procedures of vocabularies are applied before actual topic grouping. Two experiments: 1. Research trend analysis and 2. Topic correlation analysis of conferences has been performed. The leading 24 conferences related to the computer networks which are held during 2009-2010 are exploited. The experimental results show the validity of the presented method.
Keywords: Research Trend Extraction, Topic Correlation Analysis, Topic Grouping
Subscribe now for latest articles and news.
