Computational Statistics & Data Analysis - Special issue on multiway data analysis—software and applications
Friendship Networks Through Time: An Actor-Oriented Dynamic Statistical Network Model
Computational & Mathematical Organization Theory
Visualizing time-oriented data-A systematic view
Computers and Graphics
Linear algebra for tensor problems
Computing
Tensor Decompositions and Applications
SIAM Review
Vertigo zoom: combining relational and temporal perspectives on dynamic networks
Proceedings of the International Working Conference on Advanced Visual Interfaces
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In recent years we witnessed an impressive advance in the social networks field, which became a "hot" topic and a focus of considerable attention. Also, the development of methods that focus on the analysis and understanding of the evolution of data are gaining momentum. In this paper we present an approach to visualize the evolution of dynamic social networks by using Tucker decomposition and the concept of trajectory. Our visualization strategy is based on trajectories of network's actors in a bidimensional space that preserves its structural properties. Furthermore, this approach can be used to identify similar actors by comparing the shape and position of the trajectories. To illustrate the proposed approach we conduct a case study using a set of temporal friendship networks.