Dynamic Networks: Rapid Assessment of Changing Scenarios

Abstract

As events unfold, the underlying networks change. Most network science tools, however, assume analysts have a single snapshot of the data, or at most, a second snapshot at a different time. The underlying network representation schemes, assessment technologies, and visualizations do not lend themselves naturally to dynamic networks. Herein, we identify key criteria for network representation of dynamic, uncertain information and present a technology enabler that combines information fusion and dynamic network analysis. The value of technological solutions for network analytics in a dynamic environment are discussed.