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From the 1 of 26 linked papers with an AI index.

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20242026
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nlin.AO2025

Origins of Instability in Dynamical Systems on Undirected Networks

Shraosi Dawn, Subrata Ghosh, Chandrakala Meena +2

Robustness to perturbation is a key topic in the study of complex systems occurring across a wide variety of applications from epidemiology to biochemistry. Here we analyze the eig…

q-fin.ST2025

Early-Warning Signals of Political Risk in Stablecoin Markets: Human and Algorithmic Behavior Around the 2024 U.S. Election

Kundan Mukhia, Buddha Nath Sharma, Salam Rabindrajit Luwang +4

We study how the 2024 U.S. presidential election, viewed as a major political risk event, affected cryptocurrency markets by distinguishing human-driven peer-to-peer stablecoin tra…

physics.ao-ph2025

Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers

Madhurima Panja, Dhiman Das, Tanujit Chakraborty +6

Understanding and forecasting precipitation events in the Arctic maritime environments, such as Bear Island and Ny-Ã lesund, is crucial for assessing climate risk and developing ea…

eess.SP2025

Real-time identification and control of influential pandemic regions using graph signal variation

Sudeepini Darapu, Subrata Ghosh, Dibakar Ghosh +2

The global spread of pandemics is facilitated by the mobility of populations, transforming localized infections into widespread phenomena. To contain it, timely identification of i…

cond-mat.stat-mech2025

Predicting First-Passage Dynamics in Disordered Systems Exactly: Application to Sparse Networks

Daniel Marris, Chittaranjan Hens, Subrata Ghosh +1

Quantifying how spatial disorder affects the movement of a diffusing particle or agent is fundamental to target search studies. When diffusion occurs on a network, that is on a hig…

q-fin.ST2025

Universal Patterns in the Blockchain: Analysis of EOAs and Smart Contracts in ERC20 Token Networks

Kundan Mukhia, SR Luwang, Md. Nurujjaman +3

Scaling laws offer a powerful lens to understand complex transactional behaviors in decentralized systems. This study reveals distinctive statistical signatures in the transactiona…