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Citation Network Visualization of Reference Papers Based on Influence Groups
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Publication Year
2018-10-01
Journal
2018 IEEE 8th Symposium on Large Data Analysis and Visualization, LDAV 2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2018 IEEE 8th Symposium on Large Data Analysis and Visualization, LDAV 2018, pp.96-97
Keyword
Citation Networkhierarchical Visualizationhuman-centered computing [Information visualization]network Visualization
Mesh Keyword
Academic researchCitation networksInformation visualizationKeyword searchNetwork visualizationResearch fieldsResearch papersResearch trends
All Science Classification Codes (ASJC)
Computer Graphics and Computer-Aided DesignMedia TechnologyModeling and Simulation
Abstract
Survey of relevant research papers are very important in academic research to fully understanding the research trends in a given field of interest. Many researchers use keyword searches to investigate their related research. However, it is often difficult to find the desired research papers only through a keyword search. Here we propose a citation network visualization technique that constructs the genealogy of a research paper. It allows the user to trace the genealogy of the reference papers that form the basis of their research via large citation data sets, while also providing a visualization of how the research paper influences its research field.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36304
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068877763&origin=inward
DOI
https://doi.org/10.1109/ldav.2018.8739176
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8737695
Type
Conference
Funding
This work was supported by National Research Foundation of Korea (No. 2015R1D1A1A01057178).
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Lee, KyungWon Image
Lee, KyungWon이경원
Department of Digital Media
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