Extract Research Trend of Computer Networks via Analysis of the Keywords Contained in Related Conference Proceedings

Author

Jae Hwa Park ; Young Bin Kwon

Author_Institution

Sch. of Comput. Sci. & Eng., Chung-Ang Univ., Seoul, South Korea

fYear

2013

fDate

24-26 June 2013

Firstpage

1

Lastpage

2

Abstract

An extracting method of research trend in the field of computer network via analysis of the keywords contained in the published paper of related conferences is presented. The recent trends related to the field of IT are extracted by exploiting the Netminer which is one of the software for analysis of social networks. The Cosine Similarity based upon keywords which are included in the conferences is used to measure the distance between two conferences. The research trends are extracted through the frequency of keywords, the change of top 10 keywords ranking and the similarity between conferences. The 24 conferences related to the computer network part of the IEEE (Institute of Electrical and Electronics Engineers) in the case of foreign conferences and KIISE (Korean Institute of Information Scientists and Engineers) conferences in the case of domestic conferences during 2009-2010 are exploited.

Keywords

computer networks; information filtering; IEEE conferences; Institute of Electrical and Electronics Engineers; KIISE; KIISE conferences; Korean Institute of Information Scientists and Engineers; Netminer; computer network; cosine similarity; domestic conferences; foreign conferences; keyword analysis; keyword ranking; keyword similarity; research trend extracting method; social network analysis; Abstracts; Computer networks; Conferences; Cybernetics; Educational institutions; Feature extraction; Market research;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Applications (ICISA), 2013 International Conference on

Conference_Location

Suwon

Print_ISBN

978-1-4799-0602-4

Type

conf

DOI

10.1109/ICISA.2013.6579353

Filename

6579353