Quotation Bohn, Angela, Theußl, Stefan, Feinerer, Ingo, Hornik, Kurt, Mair, Patrick, Walchhofer, Norbert . 2009. Combining Weighted Centrality and Network Clustering. Research Report Series, Department of Statistics and Mathematics, Report 97.




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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Working/discussion paper, preprint
Language English
Title Combining Weighted Centrality and Network Clustering
Title of whole publication Research Report Series, Department of Statistics and Mathematics, Report 97
Year 2009
URL http://epub.wu-wien.ac.at/dyn/virlib/wp/showentry?ID=epub-wu-01_fa9&style=blank


Theußl, Stefan (Former researcher)
Hornik, Kurt (Details)
Mair, Patrick (Former researcher)
Bohn, Angela
Feinerer, Ingo
Walchhofer, Norbert
Institut f. Präsides SO (Details)
Institute for Statistics and Mathematics IN (Details)
Research Institute for Computational Methods FI (Details)
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