Close

Presentation

Algorithms and Applications of Dynamic Network Analysis Using CANDY
DescriptionMany complex systems across diverse domains can be represented as dynamic networks, where entities are modeled as time-varying nodes and interactions among these entities are modeled as evolving edges. Analyzing such networks provides insights into the underlying temporal characteristics of the system and supports informed decision-making. However, timely and resource-efficient analysis of large, complex networks is challenging without specialized approaches, as it requires continuous updates to graph properties. Previously, we presented CANDY (Cyberinfrastructure for Accelerating Innovation in Network Dynamics), a scalable platform for modeling, managing, and analyzing large dynamic networks.

Here, we showcase real-world applications in transportation, social networks, and public safety, modeled as dynamic networks and analyzed using CANDY.