The large-scale deployment of fifth generation (5G) is expected to produce a massive
amount of data with high variability due to ultra-densification and the rapid increase in a …

Applying effective methods to identify important nodes in a complex network is highly
invaluable. Recently, in a complex network, finding a powerful leader of the community to …

Identifying influential spreaders is a crucial problem that can help authorities to control the
spreading process in complex networks. Based on the classical degree centrality (DC) …

The harmonic closeness centrality measure associates, to each node of a graph, the
average of the inverse of its distances from all the other nodes (by assuming that …

How to measure the centrality of nodes is a significant problem in mobile social networks
(MSNs). Current studies in MSNs mainly focus on measuring the centrality of nodes in a …

The expeditious growth of the Internet of Things (IoT) has accelerated the evolution of multi-
access edge computing (MEC). MEC alleviates the challenges of conventional cloud …

Identifying important nodes in networks is essential to analysing their structure and
understanding their dynamical processes. In addition, myriad real systems are time-varying …

Predicting missing links is of both theoretical value and practical interest in network science.
In this paper, we empirically investigate a new link prediction method base on similarity and …

Social Complex Networks in communication networks are pivotal for comprehending the
impact of human-like interactions on information flow and communication efficiency. These …

In a social network, spreading information through the powerful leader of the community is
highly valuable. Applying effective methods to identify influential nodes will leverage cellular …