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

Extreme events gain the attention of researchers due to their utmost importance in various
contexts ranging from climate to brain. An observable that deviates significantly from its long …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

A network representation is useful for describing the structure of a large variety of complex
systems. However, most real and engineered systems have multiple subsystems and layers …

There is growing interest in multiplex networks where individual nodes take part in several
layers of networks simultaneously. This is the case, for example, in social networks where …

One of the most important challenges in network science is to quantify the information
encoded in complex network structures. Disentangling randomness from organizational …

Any physical system can be viewed from the perspective that information is implicitly
represented in its state. However, the quantification of this information when it comes to …

Cryptocurrency is a well-developed blockchain technology application that is currently a
heated topic throughout the world. The public availability of transaction histories offers an …

Stochastic blockmodels are generative network models where the vertices are separated
into discrete groups, and the probability of an edge existing between two vertices is …

Entropic measures of complexity are able to quantify the information encoded in complex
network structures. Several entropic measures have been proposed in this respect. Here we …