One of the fundamental tasks in complex networks is detecting critical nodes whose removal
significantly disrupts network connectivity. Identifying critical nodes can help analyze the …

Considering the ever-increasing size and complexity of social networks, developing
methods to extract meaningful knowledge and information from users' vast amounts of data …

Identifying influential nodes is a very hot and challenging issue in the field of complex
system and network. A great deal of algorithms have been developed to address the …

Assessing the importance of spreaders in networks is crucial for investigating the survival
and robustness of networks. There are numerous potential applications, such as preventing …

Identifying influential nodes in complex networks is an essential research issue in network
science since it may attribute to understand network structure and function. Majority of …

How to evaluate the importance of nodes and identify influential nodes in complex networks
is a very significant research in the field of network science. Most of existing algorithms …

The problem of influence maximization is a classic issue that has been well-studied in the
field of network science, but most of existing researches are compromising among …

Identifying vital spreaders of complex networks is a crucial issue that studies the dynamic
processes and analyzes the performance of networks. In this work, we present a new …

Centrality metrics are one of the most meaningful features in a large number of real-world
network systems. In that sense, the Betweenness centrality is a widely used measurement …

Identifying nodes that hold relative importance in complex networks is a burgeoning
research area. Previous studies have demonstrated the effectiveness of the gravity model in …