Survey and taxonomy of clustering algorithms in 5G
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 …
amount of data with high variability due to ultra-densification and the rapid increase in a …
Identifying influential nodes based on community structure to speed up the dissemination of information in complex network
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 …
invaluable. Recently, in a complex network, finding a powerful leader of the community to …
Identifying and ranking influential spreaders in complex networks by combining a local-degree sum and the clustering coefficient
M Li, R Zhang, R Hu, F Yang, Y Yao… - International Journal of …, 2018 - World Scientific
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) …
spreading process in complex networks. Based on the classical degree centrality (DC) …
Finding Top-k Nodes for Temporal Closeness in Large Temporal Graphs
P Crescenzi, C Magnien, A Marino - Algorithms, 2020 - mdpi.com
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 …
average of the inverse of its distances from all the other nodes (by assuming that …
A time-ordered aggregation model-based centrality metric for mobile social networks
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 …
(MSNs). Current studies in MSNs mainly focus on measuring the centrality of nodes in a …
A socially-aware radio map framework for improving QoS of UAV-assisted MEC networks
S Tripathi, OJ Pandey… - … on Network and …, 2022 - ieeexplore.ieee.org
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 …
access edge computing (MEC). MEC alleviates the challenges of conventional cloud …
Temporal gravity model for important node identification in temporal networks
Identifying important nodes in networks is essential to analysing their structure and
understanding their dynamical processes. In addition, myriad real systems are time-varying …
understanding their dynamical processes. In addition, myriad real systems are time-varying …
An evidential link prediction method and link predictability based on Shannon entropy
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 …
In this paper, we empirically investigate a new link prediction method base on similarity and …
Efficient data transfer by evaluating closeness centrality for dynamic social complex network-inspired routing
MA López-Rourich, FJ Rodríguez-Pérez - Applied Sciences, 2023 - mdpi.com
Social Complex Networks in communication networks are pivotal for comprehending the
impact of human-like interactions on information flow and communication efficiency. These …
impact of human-like interactions on information flow and communication efficiency. These …
Cluster head selection method for content‐centric mobile social network in 5G
MM Tulu, R Hou, C Li, MD Amentie - IET Communications, 2018 - Wiley Online Library
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 …
highly valuable. Applying effective methods to identify influential nodes will leverage cellular …