Introduction Feature selection in the face of high-dimensional data can reduce overfitting
and learning time, and at the same time improve the accuracy and efficiency of the system …

The main goal of controllability network methods on complex temporal networks is to control
all nodes with the minimum number of control nodes. Real-world complex temporal …

The fog computing paradigm is a promising concept to overcome the exponential increase
in data volume in Internet of Things (IoT) applications. This paradigm can support delay …

Temporal networks are known as the most important tools for representing and storing
dynamic systems. This type of network accurately demonstrates all the dynamic changes …

Although cloud computing can provide information technology services worldwide, data
centers hosting cloud applications consume a lot of energy. At the same time, the ever …

Abstract The Social Internet of Things networks (SIoT networks) have emerged by combining
the Internet of Things with social networks. One of the most important issues in this type of …

Temporal networks are essential in representing systems where interactions between
elements evolve over time. A crucial aspect of these networks is their controllability the …

In recent years, one type of complex network called the Social Internet of Things (SIoT) has
attracted the attention of researchers. Controllability is one of the important problems in …

Due to the high mobility in the mobile ad-hoc networks (MANETs), conventional routing
protocols such as ad-hoc on-demand distance vector (AODV) face numerous disruptions …

Normally, there is no limit for information sharing in social networks and this leads to the
rapid propagation of information regardless of their validity. This process has resulted in a …