Measuring the Influence of Efficient Ports Using Social Network Metrics:

International Journal of Engineering Business Management

Byung-HakLeem¹ 

关键词: Data Envelopment Analysis (DEA);    Social Network Analysis (SNA);    PageRank centrality;    Eigenvector centrality;   

DOI  :  10.5772/60040

学科分类：工程和技术（综合）

来源: Sage Journals

【 摘 要 】

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.

【 授权许可】

CC BY