DocumentCode
174554
Title
Affiliations network analysis in scientific citations: A case study of information technology for engineering
Author
Lathabai, Hiran H. ; Prabhakaran, Thara ; Changat, Manoj
Author_Institution
Dept. of Futures Studies, Univ. of Kerala, Thiruvananthapuram, India
fYear
2014
fDate
26-28 Aug. 2014
Firstpage
151
Lastpage
156
Abstract
Interactions among the scientific community implicitly and explicitly reflects technological and scientific progress in any industry. Direct interactions can be found in the scientific publications and are evident from various affiliations in such publications. In this work, important finding about Information technology for engineering is revealed using the analyses of affiliations networks. The largest contributors (actors like authors, journals etc.) to industry in volume and the most sought research field related to the industry is identified using affiliations network. Evidences for interdisciplinary interactions in the industry during last 15 years are also exposed. Some of the existing challenges (ANRP and PWP) in network analysis for huge affiliations networks (especially in citations analysis) are also identified.
Keywords
citation analysis; electronic publishing; natural sciences computing; affiliation network analysis; affiliations network; citation analysis; information technology for engineering; scientific community; scientific progress; scientific publications; technological progress; Abstracts; Citation analysis; Communities; Indexes; Industries; Information technology; Affiliations network; Citation analysis; Citations network; Engineering; Information technology; Scale-free networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Science & Engineering (ICDSE), 2014 International Conference on
Conference_Location
Kochi
Print_ISBN
978-1-4799-6870-1
Type
conf
DOI
10.1109/ICDSE.2014.6974628
Filename
6974628
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