Steering Multidimensional Scaling for Exploring Ego-network Evolution

Faculty: 
Rahul C. Basole
Students: 
Po-Ming, Law

Dimensionality reduction (DR) is often used for exploring the evolution patterns of a collection of dynamic ego-networks. However, DR often lacks flexibility: as analysts' questions evolve during data exploration, the low-dimensional projection remains static, limiting the depth of exploration. To address the inflexibility of DR, we designed a data transformation pipeline which enables analysts to transform dynamic ego-networks into event sequences for steering MDS to create different scatterplots of dynamic ego-networks. Based on the data transformation pipeline, we developed Segue, a visual analytics system for exploring different evolution patterns of ego-networks.

Lab: 
Director: 
Rahul C. Basole
Faculty: 
Rahul C. Basole
Students: 
Terrance Law, Tim Major, Arjun Srinivasan, Biswajyoti Pal, Tyler Labean

The Computational Enterprise Science Lab focuses on the design, analysis, and management of complex enterprise systems (e.g. organizations, supply chains, business ecosystems) using information visualization, modeling/simulation, and system science approaches.