More is different in real-world multilayer networks

M De Domenico - Nature Physics, 2023 - nature.com
The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

Robustness and resilience of complex networks

O Artime, M Grassia, M De Domenico… - Nature Reviews …, 2024 - nature.com
Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …

Network geometry

M Boguna, I Bonamassa, M De Domenico… - Nature Reviews …, 2021 - nature.com
Networks are finite metric spaces, with distances defined by the shortest paths between
nodes. However, this is not the only form of network geometry: two others are the geometry …

Sombor index and degree-related properties of simplicial networks

Y Shang - Applied Mathematics and Computation, 2022 - Elsevier
Many dynamical effects in biology, social and technological complex systems have recently
revealed their relevance to group interactions beyond traditional dyadic relationships …

Rare and everywhere: Perspectives on scale-free networks

P Holme - Nature communications, 2019 - nature.com
Rare and everywhere: Perspectives on scale-free networks | Nature Communications Skip to
main content Thank you for visiting nature.com. You are using a browser version with limited …

[图书][B] A guide to temporal networks

N Masuda, R Lambiotte - 2016 - World Scientific
A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …

[图书][B] Random graphs and complex networks

R Van Der Hofstad - 2024 - books.google.com
Complex networks are key to describing the connected nature of the society that we live in.
This book, the second of two volumes, describes the local structure of random graph models …

[图书][B] Applications of percolation theory

M Sahimi - 1994 - taylorfrancis.com
Over the past two decades percolation theory has been used to explain and model a wide
variety of phenomena that are of industrial and scientific importance. Examples include …

[图书][B] The fundamentals of heavy tails: Properties, emergence, and estimation

J Nair, A Wierman, B Zwart - 2022 - books.google.com
Heavy tails–extreme events or values more common than expected–emerge everywhere:
the economy, natural events, and social and information networks are just a few examples …

The nature and nurture of network evolution

B Zhou, P Holme, Z Gong, C Zhan, Y Huang… - Nature …, 2023 - nature.com
Although the origin of the fat-tail characteristic of the degree distribution in complex networks
has been extensively researched, the underlying cause of the degree distribution …