Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Priodyuti Pradhan"'
Publikováno v:
Physics Open, Vol 17, Iss , Pp 100189- (2023)
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 us to grasp the quantum algorithms. We revisit the one-dimensional disc
Externí odkaz:
https://doaj.org/article/c5c7e7ff68284196b4a3529b34986249
Publikováno v:
Entropy, Vol 25, Iss 12, p 1610 (2023)
A Multilayer network is a potent platform that paves the way for the study of the interactions among entities in various networks with multiple types of relationships. This study explores the dynamics of discrete-time quantum walks on a multilayer ne
Externí odkaz:
https://doaj.org/article/0604f052736149c89087a046e80d268c
Autor:
Priodyuti Pradhan, Sarika Jalan
Publikováno v:
IEEE Transactions on Network Science and Engineering. 7:3008-3017
Understanding the localization properties of eigenvectors of complex networks is important to get insight into various structural and dynamical properties of the corresponding systems. Here, we analytically develop a scheme to construct a highly loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::811d14bc969aec346a61574ba84ba5eb
https://doi.org/10.1109/tnse.2020.3008999
https://doi.org/10.1109/tnse.2020.3008999
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 nodes characterizes the spatio-temporal dynamics of the entire underlyi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::161f2914d359df349fe05575c304bcbf
Autor:
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 measure, spectral partitioning, development of approximation algorithms, b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a583b24c6e6a227aa6d6064bc0218161
Publikováno v:
Scientific Reports
Cancer complexome comprises a heterogeneous and multifactorial milieu that varies in cytology, physiology, signaling mechanisms and response to therapy. The combined framework of network theory and spectral graph theory along with the multilayer anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d729e93f261a6985736034f9c56818d
http://europepmc.org/articles/PMC5413936
http://europepmc.org/articles/PMC5413936
Publikováno v:
Scientific Reports
Cancer complexome comprises a heterogeneous and multifactorial milieu that varies in cytology, physiology, signaling mechanisms and response to therapy. The combined framework of network theory and spectral graph theory along with the multilayer anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d09440eea58f7b03475843c95e677697
Publikováno v:
Physical review. E. 96(2-1)
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 approach is investigating localization properties of eigenvectors having d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85c57b42f3060018a9849a774c92c18f
https://pubmed.ncbi.nlm.nih.gov/28950611
https://pubmed.ncbi.nlm.nih.gov/28950611
Autor:
Priodyuti Pradhan, Sarika Jalan
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 edges using an optimization technique such that the PEV of the rewire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c317cfd266afec1456d19b047989e909
Supplementary information of "Optimized evolution of networks for principal eigenvector localization" article
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47404481cdc04037e8b58540c7f43f71