50 citations · 52 across the 9 of their papers we have counts for
4 papers · 1 filter
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…