Understanding relationships between architectural properties of gene-regulatory networks
(GRNs) has been one of the major goals in systems biology and bioinformatics, as it can …

The advent of the edge computing network paradigm places the computational and storage
resources away from the data centers and closer to the edge of the network largely …

Abstract Analysis of the topology of transcriptional regulatory networks (TRNs) is an effective
way to study the regulatory interactions between the transcription factors (TFs) and the target …

Wireless sensor networks (WSNs) form a critical component in modern computing
applications; given their size, ability to process and communicate information, and to sense …

Complex networks are frequently characterized by metrics for which particular subgraphs
are counted. One statistic from this category, which we refer to as motif-role fingerprints …

Robustness in wireless sensor networks (WSNs) is a critical factor that largely depends on
their network topology and on how devices can react to disruptions, including node and link …

Motifs and degree distribution in transcriptional regulatory networks play an important role
towards their fault-tolerance and efficient information transport. In this paper, we designed …

We present multiple approaches to identify the significance of topological metrics that
contribute to biological network robustness. We examine and compare the communication …

Biological networks carry out vital functions necessary for sustenance despite environmental
adversities. Transcriptional Regulatory Network (TRN) is one such biological network that is …

We study causal influence structures between the patterns of a multilayer network. Multi-
layer networks are networks in which different types of activities between users represent …