In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …

As a critical infrastructure system of modern society, the global liner shipping network
(GLSN) has become increasingly complex and thus vulnerable to disruptions. This study …

Over the past two decades percolation theory has been used to explain and model a wide
variety of phenomena that are of industrial and scientific importance. Examples include …

Network models have become a valuable tool in making sense of a diverse range of social,
biological, and information systems. These models marry graph and probability theory to …

The identification of influential spreaders in complex networks is a popular topic in studies of
network characteristics. Many centrality measures have been proposed to address this …

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 …

The issue of mining influential nodes in complex networks is a topic of immense interest.
Recently, many methods have been proposed, but they suffer from certain limitations. In this …

Since its discovery in the early 1990s, functional MRI (fMRI) has been used to study human
brain function. One well-established application of fMRI in the clinical setting is the …

The important nodes identification has been an interesting problem in this issue. Several
centrality methods have been proposed to solve this problem, but most previous methods …