4 papers
Predicting Steady-State Behavior in Complex Networks with Graph Neural Networks
Priodyuti Pradhan, Amit Reza
In complex systems, information propagation can be defined as diffused or delocalized, weakly localized, and strongly localized. This study investigates the application of graph ne…
Earthquake Response Analysis with AI
Deep Patel, Panthadeep Bhattacharjee, Amit Reza +1
A timely and effective response is crucial to minimize damage and save lives during natural disasters like earthquakes. Microblogging platforms, particularly Twitter, have emerged…
Master Stability Functions in Complex Networks
Suman Acharyya, Priodyuti Pradhan, Chandrakala Meena
Synchronization is an emergent and fundamental phenomenon in nature and engineered systems. Understanding the stability of a synchronized phenomenon is crucial for ensuring functio…
Multilevel Digital Contact Tracing
Gautam Mahapatra, Priodyuti Pradhan, Abhinandan Khan +3
Digital contact tracing plays a crucial role in alleviating an outbreak, and designing multilevel digital contact tracing for a country is an open problem due to the analysis of la…