The science of complexity aims to answer the question of what rules nature chooses when
assembling the basic constituents of matter and energy into structures and dynamical …

The interest in modeling and analyzing human language with complex networks is on the
rise in recent years and a considerable body of research in this area has already been …

Recognition of vital nodes in complex networks retains great importance in the improvement
of network's robustness and vulnerability. Consistent research proposed various …

The design of an effective ranking method to identify influential nodes is an important
problem in the study of complex networks. In this paper, a new centrality measure is …

How to identify influential nodes in complex networks continues to be an open issue. A
number of centrality measures have been presented to address this problem. However …

In the field of complex networks, how to identify influential nodes in the network is still an
important research topic. In this paper, a method to identify the influence of the node based …

How to identify influential nodes in complex networks is still an open hot issue. In the
existing evidential centrality (EVC), node degree distribution in complex networks is not …

The study of influential spreaders has become a growing area of interest within network
sciences due to its critical implications in understanding the robustness and vulnerability of …

Statistical methods have been widely employed to study the fundamental properties of
language. In recent years, methods from complex and dynamical systems proved useful to …

Recent years have witnessed the increase of competition in science. While promoting the
quality of research in many cases, an intense competition among scientists can also trigger …