Abstract Models of epidemic spreading on complex networks have attracted great attention
among researchers in physics, mathematics, and epidemiology due to their success in …

Examining important results and analytical techniques, this graduate-level textbook is a step-
by-step presentation of the structure and function of complex networks. Using a range of …

The brain is increasingly studied with graph theoretical approaches, which can be used to
characterize network topology. However, studies on brain networks have reported …

We study, both analytically and numerically, the cascade of failures in two coupled network
systems A and B, where multiple support-dependence relations are randomly built between …

Modern social media are becoming overloaded with information because of the rapidly-
expanding number of information feeds. We analyze the user-generated content in Sina …

Recent network research has focused on the cascading failures in a system of
interdependent networks and the necessary preconditions for system collapse. An important …

Spatial regression models have been widely used to describe the relationship between a
response variable and some explanatory variables over a region of interest, taking into …

Many real networks exhibit a layered structure in which links in each layer reflect the function
of nodes on different environments. These multiple types of links are usually represented by …

Abstract Cognitive dysfunction in Multiple Sclerosis (MS) is closely related to altered
functional brain network topology. Conventional network analyses to compare groups are …

We define shell ℓ in a network as the set of nodes at distance ℓ with respect to a given node
and define r ℓ as the fraction of nodes outside shell ℓ. In a transport process, information or …