A Study on Identifying Key Players in a 3D Cadastre Citation Network
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초록
The main purpose of this study was to identify key plays in a 3D cadastre citation network. To achieve the research objective, this article examined theories and previous studies on 3D cadastre and citation networks and set up two research questions based on them. To answer these research questions, this study attemted to search for 3D cadastre research published from January 1, 2012, to October 31, 2017, using Google Scholar Search. This study constructed a citation network using the citation information of the collected data and then used social network analysis techniques such as degree centrality, closeness centrality, and eigenvector centrality to identify the influential nodes. This study also used modularity-based Louvain algorithms to detect influential communities in the citation network. As a result of the analysis, Stoter et al. (2013) were identified as the most influential nodes in the whole network and community 0 was identified as the most important community.
Abstract
The main purpose of this study was to identify key plays in a 3D cadastre citation network. To achieve the research objective, this article examined theories and previous studies on 3D cadastre and citation networks and set up two research questions based on them. To answer these research questions, this study attemted to search for 3D cadastre research published from January 1, 2012, to October 31, 2017, using Google Scholar Search. This study constructed a citation network using the citation information of the collected data and then used social network analysis techniques such as degree centrality, closeness centrality, and eigenvector centrality to identify the influential nodes. This study also used modularity-based Louvain algorithms to detect influential communities in the citation network. As a result of the analysis, Stoter et al. (2013) were identified as the most influential nodes in the whole network and community 0 was identified as the most important community.
참고문헌 (56)
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