When facing the problem of reconstructing complex mesoscale network structures, it is
generally believed that models encoding the nodes organization into modules must be …

When facing the problem of reconstructing complex mesoscale network structures, it is
generally believed that models encoding the nodes organization into modules must be …

Multilayer networks allow one to represent diverse and coupled connectivity patterns---eg,
time-dependence, multiple subsystems, or both---that arise in many applications and which …

Core-periphery structure, the arrangement of a network into a dense core and sparse
periphery, is a versatile descriptor of various social, biological, and technological networks …

Empirical networks often exhibit different meso-scale structures, such as community and
core–periphery structures. Core–periphery structure typically consists of a well-connected …

Meso-scale structures are network features where nodes with similar properties are grouped
together instead of being treated individually. In this work, we provide formal and …

Many real-world networks are theorized to have core-periphery structure consisting of a
densely-connected core and a loosely-connected periphery. While this phenomenon has …

In a complex network, not all nodes are created equal. Rather, they play diverse roles in a
network's function which in turn are reflected as patterns in its connectivity. Structural …

We study core-periphery structure in networks using inference methods based on a flexible
network model that allows for traditional onionlike cores within cores, but also for …

Disclosing the main features of the structure of a network is crucial to understand a number
of static and dynamic properties, such as robustness to failures, spreading dynamics, or …