The observed architecture of ecological and socio-economic networks differssignificantly
from that of random networks. From a network science standpoint, non-random structural …

Many dynamical systems can be successfully analyzed by representing them as networks.
Empirically measured networks and dynamic processes that take place in these situations …

We quantify a social organization's potentiality, that is, its ability to attain different
configurations. The organization is represented as a network in which nodes correspond to …

A fundamental issue of network data science is the ability to discern observed features that
can be expected at random from those beyond such expectations. Configuration models …

We provide a novel family of generative block-models for random graphs that naturally
incorporates degree distributions: the block-constrained configuration model. Block …

We introduce a statistical regression model to investigate the impact of dyadic relations on
complex networks generated from observed repeated interactions. It is based on …

Abstract The term Behavioral Networks describes networks that contain relational
information on human behavior. This ranges from social networks that contain friendships or …

In social networks, edges often form closed triangles or triads. Standard approaches to
measuring triadic closure, however, fail for multi-edge networks, because they do not …

Do politicians carry on their interpersonal relations online? We examine how online political
support compares to offline support. We overlay two data sets on political support among …

The connectivity structure of graphs is typically related to the attributes of the vertices. In
social networks for example, the probability of a friendship between any pair of people …