Identifying influential spreaders has theoretical and practical significance in complex
networks. Traditional centrality methods can efficiently find a single spreader, but it could …

Connectivity robustness, crucial for network understanding, optimization, and repair, has
been evaluated traditionally through time-consuming and often impractical simulations …

Recent strides in economic complexity have shown that the future economic development of
nations can be predicted with a single “economic fitness” variable, which captures countries' …

The identification of important nodes in complex networks has always been a prominent
topic in the field of network science. Nowadays, the emergence of large-scale networks has …

The cycle ratio method is designed to define the importance of nodes by the cycles of a
network, and a set of important nodes identified by this method has superior control …

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

Understanding the global trade network in the printing industry is crucial for promoting
sustainable development and cultural exchange and knowledge dissemination. However …

In this paper, we introduce a directed weighted h-index and a bi-directional h-core
decomposition for directed networks, aimed at better identifying important nodes and dense …

Relatively important node mining has always been an essential research topic in complex
networks. Existing relatively important node mining algorithms suffer from high time …

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 …