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20132017
most citedExtreme-value statistics of networks with inhibitory and excitatory couplings

16 citations · 20 across the 2 of their papers we have counts for

collaborators

5 papers

nlin.AO2017

Optimization of synchronizability in multiplex networks by rewiring one layer

Sanjiv K. Dwivedi, Murilo S. Baptista, Sarika Jalan

The mathematical framework of multiplex networks has been increasingly realized as a more suitable framework for modelling real-world complex systems. In this work, we investigate…

nlin.AO2017

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…

physics.soc-ph2016★ 4 cited

Interplay of inhibition and multiplexing : Largest eigenvalue statistics

Saptarshi Ghosh, Sanjiv K. Dwivedi, Mikhail V. Ivanchenko +1

The largest eigenvalue of a network provides understanding to various dynamical as well as stability properties of the underlying system. We investigate an interplay of inhibition…

nlin.AO2016

Evolution of correlated multiplexity through stability maximization

Sanjiv K. Dwivedi, Sarika Jalan

Investigating relation between various structural patterns found in real-world networks and stability of underlying systems is crucial to understand importance and evolutionary ori…

cond-mat.dis-nn2013★ 16 cited

Extreme-value statistics of networks with inhibitory and excitatory couplings

Sanjiv Kumar Dwivedi, Sarika Jalan

Inspired by the importance of inhibitory and excitatory couplings in the brain, we analyze the largest eigenvalue statistics of random networks incorporating such features. We find…