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A Comparison Study on the Weighted Network Centrality Measures of tnet and WNET

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2013, 30(4), pp.241~264
  • DOI : 10.3743/KOSIM.2013.30.4.241
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : November 30, 2013
  • Accepted : December 15, 2013
  • Published : December 30, 2013

Lee, Jae Yun 1

1명지대학교

Accredited

ABSTRACT

This study compared and analyzed weighted network centrality measures supported by Opsahl’s tnet and Lee’s WNET, which are free softwares for weighted network analysis. Three node centrality measures including weighted degree, weighted closeness, and weighted betweenness are supported by tnet, and four node centrality measures including nearest neighbor centrality, mean association, mean profile association, triangle betweenness centrality are supported by WNET. An experimental analysis carried out on artificial network data showed tnet’s high sensitiveness on linear transformations of link weights, however, WNET’s centrality measures were insensitive to linear transformations. Seven centrality measures from both tools, tnet and WNET, were calculated on six real network datasets. The results showed the characteristics of weighted network centrality measures of tnet and WNET, and the relationships between them were also discussed.

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