A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
A process-centric data mining and visual analytic tool for exploring complex social networks
2013
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics - IDEA '13
Social scientists and observational scientists have a need to analyze complex network data sets. Examples of such exploratory tasks include: finding communities that exist in the data, comparing results from different graph mining algorithms, identifying regions of similarity or dissimilarity in the data sets, and highlighting nodes with important centrality properties. While many methods, algorithms, and visualizations exist, the capability to apply and combine them for ad-hoc visual
doi:10.1145/2501511.2501519
dblp:conf/kdd/DimitrovSM13
fatcat:v7fmphkudjdp3pma3msxmlerii