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back | new search | print Bohn, Angela; Theußl, Stefan; Feinerer, Ingo; Hornik, Kurt; Mair, Patrick; Walchhofer, Norbert: Combining Weighted Centrality and Network Clustering Research Report Series / Department of Statistics and Mathematics, Nr. 97, December 2009 Department of Statistics and Mathematics , Wirtschaftsuniversität Wien, Augasse 2-6, A-1090 Wien, Austria, 2009 Holdings from the WU library catalog | document ID: oai:epub.wu-wien.ac.at:epub-wu-01_fa9 Download document 6 pages/298 kB © Copyright notice  Abstract: In Social Network Analysis (SNA) centrality measures focus on activity (degree), information access (betweenness), distance to all the nodes (closeness), or popularity (pagerank). We introduce a new measure quantifying the distance of nodes to the network center. It is called weighted distance to nearest center (WDNC) and it is based on edge-weighted closeness (EWC), a weighted version of closeness. It combines elements of weighted centrality as well as clustering. The WDNC will be tested on two e-mail networks of the R community, one of the most important open source programs for statistical computing and graphics. We will find that there is a relationship between the WDNC and the formal organization of the R community. (author´s abstract)  Keywords: social network analysis / centrality measure / closeness / clustering / R-help © 2009 University Library and Institute for Information Business, Vienna University of Economics and Business | Thu Sep 2 19:28:38 2010