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 …

Although networks provide a powerful approach to study a large variety of ecological
systems, their formulation does not typically account for multiple interaction types …

Understanding how the human brain is structured, and how its architecture is related to
function, is of paramount importance for a variety of applications, including but not limited to …

The arrangements of particles and forces in granular materials have a complex organization
on multiple spatial scales that range from local structures to mesoscale and system-wide …

Networks are a convenient way to represent complex systems of interacting entities. Many
networks contain “communities” of nodes that are more densely connected to each other …

Many network systems are composed of interdependent but distinct types of interactions,
which cannot be fully understood in isolation. These different types of interactions are often …

The field of neuroscience is facing an unprecedented expanse in the volume and diversity of
available data. Traditionally, network models have provided key insights into the structure …

In evolving complex systems such as air traffic and social organisations, collective effects
emerge from their many components' dynamic interactions. While the dynamic interactions …

During the last decade, Network Science has become one of the most active fields in
applied physics and mathematics (Newman, 2010). From all its possible applications, in this …

The sweetpotato whitefly Bemisia tabaci is a highly destructive agricultural and ornamental
crop pest. It damages host plants through both phloem feeding and vectoring plant …