The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

New cache coherent interconnects such as CXL have recently attracted great attention
thanks to their excellent hardware heterogeneity management and resource disaggregation …

Networks are vital tools for understanding and modeling interactions in complex systems in
science and engineering, and direct and indirect interactions are pervasive in all types of …

In the past 15 years, statistical physics has been successful as a framework for modelling
complex networks. On the theoretical side, this approach has unveiled a variety of physical …

Graph Neural Networks (graph NNs) are a promising deep learning approach for analyzing
graph-structured data. However, it is known that they do not improve (or sometimes worsen) …

From social networks such as Facebook, the World Wide Web and the Internet, to the
complex interactions between proteins in the cells of our bodies, we constantly face the …

The ultimate proof of our understanding of natural or technological systems is reflected in
our ability to control them. Although control theory offers mathematical tools for steering …

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

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Jackson Copyright: Matthew O. Jackson 2014 Please do not post or distribute without …