Exploring the importance of components is essential for unraveling the intricate structures of
complex networks, optimizing their performance, and enhancing their robustness. The …

Influence maximization aims to identify a set of influential individuals, referred to as
influencers, as information sources to maximize the spread of information within networks …

Predicting propagation cascades is crucial for understanding information propagation in
social networks. Existing methods always focus on structure or order of infected users in a …

Central nodes, also known as vital or critical nodes, play a unique role in networks of various
domains. To date, numerous centrality evaluation methods have been proposed to identify …

Identifying vital nodes is one of the core issue of network science, and is crucial for epidemic
prevention and control, network security maintenance, and biomedical research and …

This paper deals with the identification of graphical autoregressive moving-average (ARMA)
models with latent variables. Combining sparse structural characteristics of the graphical …

With the rise of big data, large-scale datasets on economic activity are now available, which
has created unprecedented opportunities for researchers to learn about economic systems …

Network growth model is an important and popular research topic aimed at uncovering the
mechanisms of network formation and evolution. Most growth models focus on two key …