Computing and maximizing influence in linear threshold and triggering models

JT Khim, V Jog, PL Loh - Advances in Neural Information …, 2016 - proceedings.neurips.cc
We establish upper and lower bounds for the influence of a set of nodes in certain types of
contagion models. We derive two sets of bounds, the first designed for linear threshold …

On the carrying and evolution matrices in epidemic models

M De la Sen, A Ibeas… - Journal of Physics …, 2021 - iopscience.iop.org
This study presents a technical characterization of classical epidemic models of
compartments by decomposing the state into an infectious sub-state (or infective …

Analysis and control of diffusion processes in networks

K Scaman - 2016 - theses.hal.science
The propagation of a characteristic through a network is the subject of study of many
scientific fields. Epidemics, viral marketing or information propagation through a social …

[引用][C] Computationally Efficient Influence Maximization in Stochastic and Adversarial Models: Algorithms and Analysis.

J Khim, V Jog, PL Loh - arXiv preprint arXiv:1611.00350, 2016