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 …

[HTML][HTML] Networks behind the morphology and structural design of living systems

M Gosak, M Milojević, M Duh, K Skok, M Perc - Physics of Life Reviews, 2022 - Elsevier
Technological advances in imaging techniques and biometric data acquisition have enabled
us to apply methods of network science to study the morphology and structural design of …

What is a complex system, after all?

E Estrada - Foundations of Science, 2024 - Springer
The study of complex systems, although an interdisciplinary endeavor, is considered as an
integrating part of physical sciences. Contrary to the historical fact that the field is already …

Incorporating human behaviour into Earth system modelling

B Beckage, FC Moore, K Lacasse - Nature Human Behaviour, 2022 - nature.com
Climate change and other challenges to the stability and functioning of natural and
managed environmental systems are driven by increasing anthropogenic domination of the …

Patterns of linguistic simplification on social media platforms over time

N Di Marco, E Loru, A Bonetti, AOG Serra… - Proceedings of the …, 2024 - pnas.org
Understanding the impact of digital platforms on user behavior presents foundational
challenges, including issues related to polarization, misinformation dynamics, and variation …

Solving carbon tax challenges with a holistic approach: Integrating evolutionary game theory and life cycle energy solutions

HH Goh, Z Xu, X Liang, D Zhang, W Dai, H Liu… - Journal of Cleaner …, 2023 - Elsevier
Carbon emissions from the combustion of fossil fuels continue to be a significant barrier in
the fight against global climate change. Carbon taxes are an energy policy tool for …

Composite effective degree Markov chain for epidemic dynamics on higher-order networks

J Chen, M Feng, D Zhao, C **a… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Epidemiological models based on traditional networks have made important contributions to
the analysis and control of malware, disease, and rumor propagation. However, higher …

Deep learning criminal networks

HV Ribeiro, DD Lopes, AAB Pessa, AF Martins… - Chaos, Solitons & …, 2023 - Elsevier
Recent advances in deep learning methods have enabled researchers to develop and apply
algorithms for the analysis and modeling of complex networks. These advances have …

Scale, context, and heterogeneity: The complexity of the social space

J Balsa-Barreiro, M Menendez, AJ Morales - Scientific reports, 2022 - nature.com
The social space refers to physical or virtual places where people interact with one another.
It decisively influences the emergence of human behaviors. However, little is known about …

Sentiment analysis and comprehensive evaluation of supervised machine learning models using Twitter data on Russia–Ukraine war

GK Wadhwani, PK Varshney, A Gupta, S Kumar - SN Computer Science, 2023 - Springer
Abstract The Russia–Ukrainian War refers to the ongoing hostilities between Russia and
Ukraine. It was first focused on whether Crimea and the Donbass were formally recognised …