The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Poster Type: Research Posters
Author: Aashish Pandey (University of North Texas), Arindam Khanda (Missouri University of Science and Technology), S.M. Shovan (Missouri University of Science and Technology), Ali Y. Khan (University of North Texas), Boyana Norris (University of Oregon), Sajal K. Das (Missouri University of Science and Technology), Sanjukta Bhowmick (University of North Texas)
Supervisor:
Abstract: Many 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.
Best Poster Finalist (BP): no
Poster: PDF
Poster Summary: PDF