Over the last few years, the analysis and modeling of networks as well as the analysis and
modeling of networked dynamical systems, has attracted considerable interdisciplinary …

Recently, a number of similarity-based methods have been proposed for link prediction of
complex networks. Among these indices, the resource-allocation-based prediction methods …

This paper presents the first comprehensive tutorial on a promising research field located at
the frontier of two well-established domains: Neurosciences and wireless communications …

In federated learning (FL), devices contribute to global training by uploading only the local
model gradients (outcomes), providing connected devices with the ability to learn while …

Network analysis is an indispensable part of today's academic field. Among the different
types of networks, the more complex hypergraphs can provide an excellent challenge and …

In industrial wireless networks, data transmitted from source to destination are highly
repetitive. This often leads to the queuing of the data, and poor management of the queued …

Studies of clustering in Wireless Sensor Networks (WSNs) usually tackle the problems of
designing new algorithms and compare them based on a set of properties (eg energy …

This paper presents a novel nature inspired dragonfly based, optimization paradigm, named
as dragonfly search convergence and coverage algorithm (DSCCA) for resource allocation …

We propose a new paradigm for telecommunications, and develop a framework drawing on
concepts from information (ie, different metrics of complexity) and computational (ie, agent …

Studying complex networks has received a great deal of attention in recent years. A relevant
problem is detecting critical nodes-nodes which, based on some measures, are more …