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 …

Coevolution spreading in complex networks

W Wang, QH Liu, J Liang, Y Hu, T Zhou - Physics Reports, 2019 - Elsevier
The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

[LIVRE][B] A guide to temporal networks

N Masuda, Z Ghalmane, C Cherifi, H Cherifi, ME Hassouni - Scientific reports, 2019 - nature.com
Identifying influential spreaders in networks is an essential issue in order to prevent
epidemic spreading, or to accelerate information diffusion. Several centrality measures take …

Simplicial activity driven model

G Petri, A Barrat - Physical review letters, 2018 - APS
Many complex systems find a convenient representation in terms of networks: structures
made by pairwise interactions (links) of elements (nodes). For many biological and social …

The temporal dynamics of group interactions in higher-order social networks

I Iacopini, M Karsai, A Barrat - Nature Communications, 2024 - nature.com
Representing social systems as networks, starting from the interactions between individuals,
sheds light on the mechanisms governing their dynamics. However, networks encode only …

Community lockdowns in social networks hardly mitigate epidemic spreading

M Gosak, M Duh, R Markovič, MŽ Perc - New Journal of Physics, 2021 - iopscience.iop.org
Community lockdowns and travel restrictions are commonly employed to decelerate
epidemic spreading. We here use a stochastic susceptible-infectious-recovered model on …

Phase transitions in information spreading on structured populations

JT Davis, N Perra, Q Zhang, Y Moreno, A Vespignani - Nature physics, 2020 - nature.com
Mathematical models of social contagion that incorporate networks of human interactions
have become increasingly popular, however, very few approaches have tackled the …