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Title: Analyzing structural &temporal characteristics of keyword system in academic research articles
Authors: Duvvuru, A. 
Radhakrishnan, S. 
More, D. 
Kamarthi, S. 
Sultornsanee, S. 
Keywords: Business management;Complex networks;Data analysis;Keyword networks;Research trends;Visual analytics;Visualization
Issue Date: 2013
Publisher: University of the Thai Chamber of Commerce
Source: A. Duvvuru, S. Radhakrishnan, D. More, S. Kamarthi, S. Sultornsanee (2013) Analyzing structural &temporal characteristics of keyword system in academic research articles., 439-445.
Conference: Procedia Computer Science 
Abstract: Keyword networks, formed from keywords occurring in scholarly articles provide a useful mechanism for understanding academic research trends. In keyword networks, keywords are represented as nodes and a link is formed between a pair of keywords if they appear in the same article. Each link is assigned a weight, representing the number of cooccurrences of thepair in different articles. A statistical and visual analysis of the structural and temporal characteristics of such networks reveals the organizing pattern and the evolution of keywords. In this study we analyse the difference between structured keyword system and unstructured keyword system. We use keywords from two prominent business management journals from USA and Indiaand analyse the corresponding keyword networks. Our results indicate that the network characteristics of structured keyword system are more suitable than unstructured keyword system to analyse research trends and bring forth the emerging areas and popular research methods. The adoption of structured keyword system will aid researchers and funding agencies to optimize their decision on the use of research funding.
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Appears in Collections:RSO: Conference Papers

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