… CDH method to find final k influential nodes. Recently, some novel methods based on
node dynamics have been proposed which rank nodes to select influential spreaders [77,78]. …

… proposed based on network topology characteristic to identify influential nodes for influence
… for frog population are conceived based on network topology structure, respectively. Then …

… Our method takes the location of nodes into consideration, which is more reasonable compared
… In this paper, a new method named KSGC to identify influential nodes in the network is …

… In this paper, a novel method for intrusion detection system based on the combination of
hybrid sampling and deep hierarchical network has been proposed and discussed. Firstly, we …

… to alleviate the problems of classical k-shell and to identify influential … based methods along
with representative network topology based hybrid techniques by considering a toy network …

… In our approach we consider interest of users to different topics, the message they try to
disseminate, and network topology to determine the most influential users. According to Abel et al…

… Meanwhile, although network structure-based centrality methods can be effi… influence
assessment model based both on the total valuation and variance in valuation of neighbor nodes, …

… Specifically, this method first uses the structural analysis (SA) method to prediagnose the …
article proposed a structure analysis-based GCN fault diagnosis method (GCNSA method). …

… In this paper, we describe a novel hybrid algorithm that employs Genetic Algorithm and
Ant Colony Optimization to solve supplier selection problem. A multi-objective linear …

… techniques (Xin et al., 2018). Motivated by this fact, this paper proposes a novel hybrid learning
approach to … The proposed approach combining the convolutional neural network (CNN) …