The structure and dynamics of networks with higher order interactions

S Boccaletti, P De Lellis, CI Del Genio, K Alfaro-Bittner… - Physics Reports, 2023 - Elsevier
All beauty, richness and harmony in the emergent dynamics of a complex system largely
depend on the specific way in which its elementary components interact. The last twenty-five …

Signal propagation in complex networks

P Ji, J Ye, Y Mu, W Lin, Y Tian, C Hens, M Perc, Y Tang… - Physics reports, 2023 - Elsevier
Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Social physics

M Jusup, P Holme, K Kanazawa, M Takayasu, I Romić… - Physics Reports, 2022 - Elsevier
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

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 …

Bots increase exposure to negative and inflammatory content in online social systems

M Stella, E Ferrara… - Proceedings of the …, 2018 - National Acad Sciences
Societies are complex systems, which tend to polarize into subgroups of individuals with
dramatically opposite perspectives. This phenomenon is reflected—and often amplified—in …

Challenges for the cyber-physical manufacturing enterprises of the future

H Panetto, B Iung, D Ivanov, G Weichhart… - Annual reviews in …, 2019 - Elsevier
This paper summarizes a vision of the challenges facing the so-called “Industry of the
Future” as studied by the research community of the IFAC Coordinating Committee 5 on …

The physics of brain network structure, function and control

CW Lynn, DS Bassett - Nature Reviews Physics, 2019 - nature.com
The brain is characterized by heterogeneous patterns of structural connections supporting
unparalleled feats of cognition and a wide range of behaviours. New non-invasive imaging …

Trend: Temporal event and node dynamics for graph representation learning

Z Wen, Y Fang - Proceedings of the ACM Web Conference 2022, 2022 - dl.acm.org
Temporal graph representation learning has drawn significant attention for the prevalence of
temporal graphs in the real world. However, most existing works resort to taking discrete …

Computational network biology: data, models, and applications

C Liu, Y Ma, J Zhao, R Nussinov, YC Zhang, F Cheng… - Physics Reports, 2020 - Elsevier
Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …

Network control principles predict neuron function in the Caenorhabditis elegans connectome

G Yan, PE Vértes, EK Towlson, YL Chew, DS Walker… - Nature, 2017 - nature.com
Recent studies on the controllability of complex systems offer a powerful mathematical
framework to systematically explore the structure–function relationship in biological, social …