The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

It is increasingly recognized that a key component of successful infection control efforts is
understanding the complex, two-way interaction between disease dynamics and human …

Social distancing and isolation have been widely introduced to counter the COVID-19
pandemic. Adverse social, psychological and economic consequences of a complete or …

INTRODUCTION Coronavirus disease 2019 (COVID-19), caused by severe acute
respiratory syndrome–coronavirus 2 (SARS-CoV-2), has clear potential for a long-lasting …

Crowding is a critical determinant of consumers' satisfaction with and preferences for
different shop** and travel situations. When considering a selection of travel and …

Given their importance in sha** social networks and determining how information or
transmissible diseases propagate in a population, interactions between individuals are the …

Detecting and controlling the diffusion of infectious diseases such as COVID-19 is crucial to
managing epidemics. One common measure taken to contain or reduce diffusion is to detect …

Given a social network with diffusion probabilities as edge weights and a positive integer k,
which k nodes should be chosen for initial injection of information to maximize the influence …

This book is principally intended for social scientists wanting to undertake social network
research. It assumes the reader already knows a thing or two (perhaps even a lot) about …

Abstract Information cascades are important dynamical processes in complex networks. An
information cascade can describe the spreading dynamics of rumour, disease, memes, or …