Clustering has been widely used for data pre-processing, mining, and analysis. The k-
means clustering algorithm is commonly used because of its simplicity and flexibility to work …

The probability density evolution method has been popularly used for various stochastic
analysis of structural systems including the reliability analysis. The generalized density …

Automated community detection is an important problem in the study of complex networks.
The idea of community detection is closely related to the concept of data clustering in pattern …

From a statistical perspective, large complex reaction networks have the power-law degree
distributions, which means a small fraction of hub nodes are responsible for most of the …

Real-world heavy-tailed networks are claimed to be scale-free, meaning that the degree
distributions follow the classical power-law. But it is evident from a closer observation that …

Real-world networks are generally claimed to be scale-free. This means that the degree
distributions follow the classical power-law, at least asymptotically. However, closer …

News reports in media contain news about society's social and political conditions. With the
help of publicly available digital datasets of events, it is possible to study a complex network …

Recently, there has been growing interest in social network analysis. Graph models for
social network analysis are usually assumed to be a deterministic graph with fixed weights …

One way to understand the network function and analyze the network structure is to find the
communities of the network accurately. Now, there are many works about designing …

Foreign military education (FME) is education or training that a sponsoring state provides to
military service members of a recipient state. Since World War II, most states in the …