Advertisement
Published in:
2011 | OriginalPaper | Chapter
DenGraph-HO: Density-based Hierarchical Community Detection for Explorative Visual Network Analysis
Authors : Nico Schlitter, Tanja Falkowski, J¨org L¨assig
Published in: Research and Development in Intelligent Systems XXVIII
Publisher: Springer London
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
For the analysis of communities in social networks several data mining techniques have been developed such as the DenGraph algorithm to study the dynamics of groups in graph structures. The here proposed DenGraph-HO algorithm is an extension of the density-based graph clusterer DenGraph. It produces a cluster hierarchy that can be used to implement a zooming operation for visual social network analysis. The clusterings in the hierarchy fulfill the DenGraph-O paradigms and can be efficiently computed. We apply DenGraph-HO on a data set obtained from the music platform Last.fm and demonstrate its usability.