The epidemic diseases have been threatening to human health, and it is of high importance
to understand the properties of epidemic propagation among the population will help us to …

Community structure is the most significant attribute of networks, which is often identified to
help discover the underlying organization of networks. Currently, nonnegative matrix …

In this paper, a dynamical two-stage Cournot duopoly game with R&D spillover effect and
product differentiation is established. The stability of all the equilibrium points is studied …

Nowadays, power grids are equipped with sensors to monitor and collect the information of
power nodes. These sensors are connected by optical fibers and form a cyber network. A …

How to identify influential nodes is still an open and vital issue in complex networks. To
address this problem, a lot of centrality measures have been developed, however, only …

As the size of available networks is continuously increasing (even with millions of nodes),
large-scale complex networks are receiving significant attention. While existing overlapping …

Based on planar maximally filtered graph (PMFG) and threshold method, we introduced a
correlation-based network named PMF G-based threshold network (PTN). We studied the …

The community structure often represents potential functionalities of systems and plays a
crucial role in realistic applications. As indicated by previous studies, it is of significance to …

Identifying the influential nodes in complex networks is still a significant topic in theoretical
and practical recently. Many efficient and practical centrality indices have been proposed on …

Community detection and link prediction are both of great significance in network analysis,
which provide very valuable insights into topological structures of the network from different …