S
Sarika Jalan
Researcher at Indian Institute of Technology Indore
Publications - 180
Citations - 2618
Sarika Jalan is an academic researcher from Indian Institute of Technology Indore. The author has contributed to research in topics: Eigenvalues and eigenvectors & Multiplexing. The author has an hindex of 26, co-authored 157 publications receiving 2178 citations. Previous affiliations of Sarika Jalan include Academia Sinica & Max Planck Society.
Papers
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Self-organized and driven phase synchronization in coupled maps.
Sarika Jalan,R. E. Amritkar +1 more
TL;DR: The phase synchronization and cluster formation in coupled maps on different networks are studied to identify two different mechanisms: self-organized phase synchronization which leads to clusters with dominant intracluster couplings and driven phase synchronization, where the nodes of one cluster are driven by those of the others.
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Universality in complex networks: Random matrix analysis
TL;DR: It is shown that nearest neighbor spacing distribution of the eigenvalues of the adjacency matrices of various model networks, namely scale-free, small-world, and random networks follow universal Gaussian orthogonal ensemble statistics of random matrix theory.
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Cluster synchronization in multiplex networks
Sarika Jalan,Aradhana Singh +1 more
TL;DR: In this paper, the impact of the interaction of nodes in a layer of a multiplex network on the dynamical behavior and cluster synchronization of these nodes in the other layers is studied.
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Random matrix analysis of complex networks.
TL;DR: This work analyzes the eigenvalues of the adjacency matrix of various model networks, namely, random, scale-free, and small-world networks, using nearest-neighbor and next-nearest-NEighbor spacing distributions to probe long-range correlations in the Eigenvalues.
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Synchronized clusters in coupled map networks. I. Numerical studies.
TL;DR: For large coupling strengths and nonlinear coupling, the scale-free networks and the Caley tree networks lead to better cluster formation than the other types of networks with the same average connectivity.