Social and behavioural factors are critical to the emergence, spread and containment of
human disease, and are key determinants of the course, duration and outcomes of disease …

Most defense strategies in complex networks are developed from the defense perspective,
overlooking the key attack-defense characteristics in cybersecurity. A defense decision …

Purpose Reinforcement learning (RL) is the subfield of machine learning focused on optimal
sequential decision making under uncertainty. An optimal RL strategy maximizes cumulative …

The Cambridge Manual to Archaeological Network Science provides the first
comprehensive guide to a field of research that has firmly established itself within …

In the event of an outbreak, it is vital to stop the spread of infectious diseases as quickly as
possible, and vaccination is the most important means of stopping the spread of infectious …

Network scientists have proposed that infectious diseases involving person-to-person
transmission may be effectively halted by targeting interventions at a minority of highly …

Missing data is a common, difficult problem for network studies. Unfortunately, there are few
clear guidelines about what a researcher should do when faced with incomplete information …

Epidemic control often requires optimal distribution of available vaccines and prophylactic
tools, to protect from infection those susceptible. Well-established theory recommends …

This manuscript introduces an innovative approach to optimizing the distribution of a limited
vaccine resource within a population modeled as a contact network, aiming to mitigate the …

The Omicron wave is the largest wave of COVID‐19 pandemic to date, more than doubling
any other in terms of cases and hospitalizations in the United States. In this paper, a large …