This review presents an account of the major works done on spectra of adjacency matrices
drawn on networks and the basic understanding attained so far. We have divided the review …

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 …

We investigate the Geom collaboration network under the random matrix theory framework.
While the spectral density exhibiting triangular shape with high degeneracy at zero …

The fractal nature of graphs has traditionally been investigated by using the network’s nodes
as the basic units. Here, instead, we propose to concentrate on the graph’s edges, and …

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 capture …

In the recent years, the multilayer networks have increasingly been realized as a more realistic
framework to understand emergent physical phenomena in complex real-world systems. …

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

The nucleotide polymorphism in the human mitochondrial genome (mtDNA) tolled by codon
position bias plays an indispensable role in human population dispersion and expansion. …

… Camellia Sarkar is a graduate student at Complex Systems Lab, Indian Institute of
Technology Indore. After obtaining a M.Tech. … Sarika Jalan and Camellia Sarkar …

Despite the tremendous advancements in the field of network theory, very few studies have
taken weights in the interactions into consideration that emerge naturally in all real-world …