Dynamic network link prediction is becoming a hot topic in network science, due to its wide
applications in biology, sociology, economy and industry. However, it is a challenge since …

The principal purpose of this work was to study the spread of brucellosis in the state of São
Paulo with the help of the complex network theory and to propose control measures for its …

Predicting the potential relations between nodes in networks, known as link prediction, has
long been a challenge in network science. However, most studies just focused on link …

The spread of pathogens in swine populations is in part determined by movements of
animals between farms. However, understanding additional characteristics that predict …

Accounting for multiple modes of livestock disease dissemination in epidemiological models
remains a challenge. We developed and calibrated a mathematical model for transmission …

We present a contact-based model to study the spreading of epidemics by means of
extending the dynamic message-passing approach to temporal networks. The shift in …

The metacoupling framework provides grounds for characterizing interactions within and
between coupled human and natural systems, yet few studies quantify the nuances of these …

Since the introduction in Georgia in 2007 of an African swine fever (ASF) genotype 2 virus
strain, the virus has rapidly spread to both Western European and Asian countries. It now …

The circulation of livestock pathogens in the pig industry is strongly related to animal
movements. Epidemiological models developed to understand the circulation of pathogens …

Analyses of livestock movement networks has become key to understanding an industry's
vulnerability to infectious disease spread and for identifying farms that play disproportionate …