The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Despite recent progress in high-throughput experimental studies, systems level visualization and analysis of large protein interaction networks (ppi) remains a challenging task, g...
Boon-Siew Seah, Sourav S. Bhowmick, Charles Forbes...
Many strategic actions carry a ‘contagious’ component beyond the immediate locale of the effort itself. Viral marketing and peacekeeping operations have both been observed to ...
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
The goal is to build a general framework for ad hoc applications over large networks using semantics and complex systems analysis. The first part deals with semantics because appl...