Automatic extracting of knowledge from massive data samples, ie, big data analytics (BDA),
has emerged as a vital task in almost all scientific research fields. The BDA problems are …

Due to the increasing complexity and nonlinearity of complex industrial systems, traditional
risk analysis methods have become inapplicable. A method of dynamic risk analysis and …

How to assess the importance of nodes in the network is an open question. There are many
ways to identify the importance of nodes in complex networks. However, these methods …

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 …

A complex network is a network that has the characteristics of small world, clustering, and
power-law distribution. The discovery of crucial spreaders, as one of the significant research …

At the heart of the cellular machinery through the regulation of cellular functions, protein-
protein interactions (PPI) have a significant role. PPI can be analysed with network …

Background Some proposed methods for identifying essential proteins have better results by
using biological information. Gene expression data is generally used to identify essential …

The identification of important nodes is a hot topic in complex networks. Many methods have
been proposed in different fields for solving this problem. Most previous work emphasized …

Alzheimer's disease (AD) is a neurological illness that causes short-term memory loss.
There are currently no viable therapeutic therapies for this condition that can cure it. The …

Identifying influential spreaders in complex networks is a crucial issue that can help control
the propagation process in complex networks. Existing methods propose substantial …