Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

Random walks are ubiquitous in the sciences, and they are interesting from both theoretical
and practical perspectives. They are one of the most fundamental types of stochastic …

In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Lateral movement is a key stage of system compromise used by advanced persistent
threats. Detecting it is no simple task. When network host logs are abstracted into discrete …

The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

Most networked systems of scientific interest are characterized by temporal links, meaning
the network's structure changes over time. Link temporality has been shown to hinder many …

It is increasingly recognized that a key component of successful infection control efforts is
understanding the complex, two-way interaction between disease dynamics and human …

In the past 20 years network science has proven its strength in modeling many real-world
interacting systems as generic agents, the nodes, connected by pairwise edges …

A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …