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 …

As an emerging field of theory, research, and practice, STEAM (Science, Technology,
Engineering, Arts, and Mathematics) has received attention for its efforts to incorporate the …

We investigate disease spreading on eight empirical data sets of human contacts (mostly
proximity networks recording who is close to whom, at what time). We compare three levels …

One of network epidemiology's central assumptions is that the contact structure over which
infectious diseases propagate can be represented as a static network. However, contacts …

The Susceptible–Infectious–Recovered (SIR) model is the canonical model of epidemics of
infections that make people immune upon recovery. Many of the open questions in …

Temporal networks have been increasingly used to model a diversity of systems that evolve
in time; for example, human contact structures over which dynamic processes such as …

The problem of identifying influential spreaders in temporal networks has attracted extensive
attention in recent years. Existing studies have proposed various centrality measures for …

The problem of map** human close-range proximity networks has been tackled using a
variety of technical approaches. Wearable electronic devices, in particular, have proven to …

To clinicians there are a number of striking features of the ever-evolving field of the medical
humanities. The first is a perception of a predominantly unidirectional relationship between …

To understand the contact patterns of a population—who is in contact with whom and when
the contacts happen—is crucial for modeling outbreaks of infectious disease. Traditional …