Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

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 …

Centrality indices are a popular tool to analyze structural aspects of psychological networks.
As centrality indices were originally developed in the context of social networks, it is unclear …

Background: Network analysis (NA) is an analytical tool that allows one to explore the map
of connections and eventual dynamic influences among symptoms and other elements of …

The World Health Organization declared the coronavirus disease 2019 a pandemic on
March 11th, pointing to the over 118,000 cases in over 110 countries and territories around …

Random walks are ubiquitous in the sciences, and they are interesting from both theoretical
and practical perspectives. They are one of the most fundamental types of stochastic …

Influence maximization (IM) has shown wide applicability in immense fields over the past
decades. Previous researches on IM mainly focused on the dyadic relationship but lacked …

Network science is today established as a backbone for description of structure and function
of various physical, chemical, biological, technological, and social systems. Here we review …

The fractal property is one of the most important properties in complex networks. It describes
the power law relationship between characteristics of the box and the box size. There are …

To find the important nodes in complex networks is a fundamental issue. A number of
methods have been recently proposed to address this problem but most previous studies …