In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

Link prediction is a technique to forecast future new or missing relationships between nodes
based on the current network information. However, the link prediction in monoplex …

Identifying a set of influential nodes is an important topic in complex networks which plays a
crucial role in many applications, such as market advertising, rumor controlling, and …

A cycle is the simplest structure that brings redundant paths in network connectivity and
feedback effects in network dynamics. An in-depth understanding of which cycles are …

Numerous well-known processes of complex systems such as spreading and cascading are
mainly affected by a small number of critical nodes. Identifying influential nodes that lead to …

In view that the K-shell decomposition method can only effectively identify a single most
influential node, but cannot accurately identify a group of most influential nodes, this article …

The vital nodes are the ones that play an important role in the organization of network
structure or the dynamical behaviors of networked systems. Previous studies usually applied …

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

Influential nodes in complex networks play more significant role than other nodes in many
applications such as viral marketing. Identification of the most influential nodes and ranking …

Real-world systems, ranging from social and biological to infrastructural, can be modeled by
multilayer networks. Promoting spreading dynamics in multilayer networks may significantly …