Measuring the Influence of Efficient Ports Using Social Network Metrics

Measuring the Influence of Efficient Ports Using Social Network Metrics

Data envelopment analysis (DEA) is known as a useful tool that produces many efficient decision-making units (DMUs). Traditional DEA provides relative efficient scores and reference sets, but does not influence and rank the efficient DMUs. This paper suggests a method that provides influence and ran...

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Main Authors: Byung-Hak Leem, Heuiju Chun
Format: Article
Language:English
Published: SAGE Publishing 2015-02-01
Series:International Journal of Engineering Business Management
Online Access:https://doi.org/10.5772/60040
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spelling doaj-5a1ffdd658f04f40951f51c4e7c6361f2021-04-02T15:49:07ZengSAGE PublishingInternational Journal of Engineering Business Management1847-97902015-02-01710.5772/6004048235Measuring the Influence of Efficient Ports Using Social Network MetricsByung-Hak Leem0Heuiju Chun1 Busan University of Foreign Studies, Busan, Korea Dongduk Women's University, Seoul, KoreaData envelopment analysis (DEA) is known as a useful tool that produces many efficient decision-making units (DMUs). Traditional DEA provides relative efficient scores and reference sets, but does not influence and rank the efficient DMUs. This paper suggests a method that provides influence and ranking information by using PageRank as a centrality of Social Network analysis (SNA) based on reference sets and their lambda values. The social network structure expresses the DMU as a node, reference sets as link, and lambda as connection strengths or weights. This paper, with PageRank, compares the Eigenvector centrality suggested by Liu, et al. in 2009, and shows that PageRank centrality is more accurate.https://doi.org/10.5772/60040
collection DOAJ
language English
format Article
sources DOAJ
author Byung-Hak Leem
Heuiju Chun
spellingShingle Byung-Hak Leem
Heuiju Chun
Measuring the Influence of Efficient Ports Using Social Network Metrics
International Journal of Engineering Business Management
author_facet Byung-Hak Leem
Heuiju Chun
author_sort Byung-Hak Leem
title Measuring the Influence of Efficient Ports Using Social Network Metrics
title_short Measuring the Influence of Efficient Ports Using Social Network Metrics
title_full Measuring the Influence of Efficient Ports Using Social Network Metrics
title_fullStr Measuring the Influence of Efficient Ports Using Social Network Metrics
title_full_unstemmed Measuring the Influence of Efficient Ports Using Social Network Metrics
title_sort measuring the influence of efficient ports using social network metrics
publisher SAGE Publishing
series International Journal of Engineering Business Management
issn 1847-9790
publishDate 2015-02-01
description Data envelopment analysis (DEA) is known as a useful tool that produces many efficient decision-making units (DMUs). Traditional DEA provides relative efficient scores and reference sets, but does not influence and rank the efficient DMUs. This paper suggests a method that provides influence and ranking information by using PageRank as a centrality of Social Network analysis (SNA) based on reference sets and their lambda values. The social network structure expresses the DMU as a node, reference sets as link, and lambda as connection strengths or weights. This paper, with PageRank, compares the Eigenvector centrality suggested by Liu, et al. in 2009, and shows that PageRank centrality is more accurate.
url https://doi.org/10.5772/60040
work_keys_str_mv AT byunghakleem measuringtheinfluenceofefficientportsusingsocialnetworkmetrics
AT heuijuchun measuringtheinfluenceofefficientportsusingsocialnetworkmetrics
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