Over the past few years, the number and volume of data sources in healthcare databases
has grown exponentially. Analyzing these voluminous medical data is both opportunity and …

Almost all the complex interactions between humans, animals, biological cells, neurons, or
any other objects are now modeled as a graph with the nodes as the objects of interest and …

With the prosperity of social networks, the research of influence maximization has become
growing importance and captured increasing attention from various disciplines. The key …

The ranking of individual spreaders aims to measure the influential capability of individual
nodes and is important to control information spreading in a network. However, many …

The influential spreaders play a significant role in maximizing or controlling any spreading
process in a network. In the literature, many methods have been proposed to identify …

Identifying influential nodes in a network is vital for the study of social network structure and
to facilitate the dissemination of requisite information. The challenge we address is that …

Identifying influential spreaders in a complex network has practical and theoretical
significance. In applications such as disease spreading, virus infection in computer …

In the present-days complex networks modeled on real-world data contain millions of nodes
and billions of links. Identifying super spreaders in such an extensive network is a …

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 …

The identification of influential nodes is one of the most urgent and challenging research
issues in complex networks, which is crucial to the robustness and stability of networks …