This paper provides a novel algorithm to automatically detect the hidden hierarchy in terrorist networks. The algorithm is based on centrality measures used in social network analy...
Nasrullah Memon, Henrik Legind Larsen, David L. Hi...
We present an application for integrated visualization of gene expression data from time series experiments in gene regulation networks and metabolic networks. Such integration is...
: We examine the problem of identifying, measuring and evaluating communities in blogs. In our approach, we use sense of community (McMillan and Chavis, 1986) and centrality measur...
In this study, a method for hierarchical examination and visualization of GSM data using the Self-Organizing Map (SOM) is described. The data is examined in few phases. At first te...
This paper describes a paradigm for visualising time deflow in a network of objects connected by abstract relationships (a graph) by representing time in the third dimension. We ...