activity
20132017
most citedUncovering Randomness and Success in Society

37 citations · 194 across the 11 of their papers we have counts for

collaborators

11 papers

nlin.AO2017★ 25 cited

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★ 24 cited

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★ 3 cited

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…

physics.soc-ph2015★ 23 cited

Optimization of synchronizability in multiplex networks

Sanjiv K. Dwivedi, Camellia Sarkar, Sarika Jalan

We investigate the optimization of synchronizability in multiplex networks and demonstrate that the interlayer coupling strength is the deciding factor for the efficiency of optimi…

physics.soc-ph2015★ 5 cited

Emergence of (bi)multi-partiteness in networks having inhibitory and excitatory couplings

Sarika Jalan, Sanjiv K. Dwivedi

(Bi)multi-partite interaction patterns are commonly observed in real world systems which have inhibitory and excitatory couplings. We hypothesize these structural interaction patte…

physics.soc-ph2014★ 37 cited

Uncovering Randomness and Success in Society

Sarika Jalan, Camellia Sarkar, Anagha Madhusudanan +1

An understanding of how individuals shape and impact the evolution of society is vastly limited due to the unavailability of large-scale reliable datasets that can simultaneously c…

cond-mat.dis-nn2014★ 25 cited

Emergence of clustering: Role of inhibition

Sanjiv K. Dwivedi, Sarika Jalan

Though biological and artificial complex systems having inhibitory connections exhibit high degree of clustering in their interaction pattern, the evolutionary origin of clustering…

q-bio.MN2013★ 24 cited

Quantifying randomness in protein-protein interaction networks of different species: A random matrix approach

Ankit Agrawal, Camellia Sarkar, Sanjiv K. Dwivedi +2

We analyze protein-protein interaction networks for six different species under the framework of random matrix theory. Nearest neighbor spacing distribution of the eigenvalues of a…

q-bio.NC2013★ 8 cited

Balanced condition in networks leads to Weibull statistics

Sarika Jalan, Sanjiv K. Dwivedi

The importance of the balance in inhibitory and excitatory couplings in the brain has increasingly been realized. Despite the key role played by inhibitory-excitatory couplings in…

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…