50 citations · 133 across the 16 of their papers we have counts for
16 papers
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…
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…
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…
Discrete-time Quantum Walk on Multilayer Networks
M. N. Jayakody, Priodyuti Pradhan, Dana Ben Porath +1
Multilayer network is a potent platform which paves a way to study the interactions among entities in various networks with multiple types of relationships. In this study, the dyna…
Impact of Black Swan Events on Ethereum Blockchain ERC20 Token Transaction Networks
Moturi Pradeep, Uday Kumar Reddy Dyapa, Sarika Jalan +1
The Ethereum blockchain and its ERC20 token standard have revolutionized the landscape of digital assets and decentralized applications. ERC20 tokens developed on the Ethereum bloc…
Estimation of Correlation Matrices from Limited time series Data using Machine Learning
Nikhil Easaw, Woo Seok Lee, Prashant Singh Lohiya +2
Correlation matrices contain a wide variety of spatio-temporal information about a dynamical system. Predicting correlation matrices from partial time series information of a few n…
One-dimensional discrete-time quantum walks with general coin
Mahesh N. Jayakody, Chandrakala Meena, Priodyuti Pradhan
Quantum walk (QW) is the quantum analog of the random walk. QW is an integral part of the development of numerous quantum algorithms. Hence, an in-depth understanding of QW helps u…
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…
Distributed Data Verification Protocols in Cloud Computing
Priodyuti Pradhan
Recently, storage of huge volume of data into Cloud has become an effective trend in modern day Computing due to its dynamic nature. After storing, users deletes their original cop…
Wheel graph strategy for PEV localization of networks
Sarika Jalan, Priodyuti Pradhan
Investigation of eigenvector localization properties of complex networks is not only important for gaining insight into fundamental network problems such as network centrality meas…
Principal eigenvector localization and centrality in networks: revisited
Priodyuti Pradhan, Angeliya C. U., Sarika Jalan
Complex networks or graphs provide a powerful framework to understand importance of individuals and their interactions in real-world complex systems. Several graph theoretical meas…
From Spectra to Localized Networks: A Reverse Engineering Approach
Priodyuti Pradhan, Sarika Jalan
Understanding the localization properties of eigenvectors of complex networks is important to get insight into various structural and dynamical properties of the corresponding syst…
Network construction: A learning framework through localizing principal eigenvector
Priodyuti Pradhan, Sarika Jalan
Information of localization properties of eigenvectors of the complex network has applicability in many different areas which include networks centrality measures, spectral partiti…
Localization of multilayer networks by the optimized single-layer rewiring
Sarika Jalan, Priodyuti Pradhan
We study localization properties of principal eigenvector (PEV) of multilayer networks. Starting with a multilayer network corresponding to a delocalized PEV, we rewire the network…
Understanding cancer complexome using networks, spectral graph theory and multilayer framework
Aparna Rai, Priodyuti Pradhan, Jyothi Nagraj +3
Cancer complexome comprises a heterogeneous and multifactorial milieu that varies in cytology, physiology, signaling mechanisms and response to therapy. The combined framework of n…
Optimized evolution of networks for principal eigenvector localization
Priodyuti Pradhan, Alok Yadav, Sanjiv K. Dwivedi +1
Network science is increasingly being developed to get new insights about behavior and properties of complex systems represented in terms of nodes and interactions. One useful appr…