Nominal assortativity (or discrete assortativity) is widely used to characterize group mixing
patterns and homophily in networks, enabling researchers to analyze how groups interact …

Uncovering how inequality emerges from human interaction is imperative for just societies.
Here we show that the way social groups interact in face-to-face situations can enable the …

Temporal networks of face-to-face interactions between individuals are useful proxies of the
dynamics of social systems on fast timescales. Several empirical statistical properties of …

In this chapter, we provide an overview of recent advances in data-driven and theory-
informed complex models of social networks and their potential in understanding societal …

We present a unique collection of four data sets to study social behaviour, collected during
international scientific conferences. Interactions between participants were tracked using the …

In this paper, we present a unique collection of four data sets to study social behaviour. The
data were collected at four international scientific conferences, during which we measured …

Empirical contact networks or interaction networks demonstrate peculiar characteristics
stemming from the fundamental social, psychological, physical mechanisms governing …

In five studies, we investigated whether researchers' personality predicts their propensity to
network with others at academic conferences. Conference attendees wore social sensors …

Our uses of digital technologies like social media platforms or email leave massive amounts
of behavioral traces that are most interesting for social research. Other digital technologies …

Die Nutzung von digitalen Technologien, wie Social-Media-Plattformen, hinterlässt riesige
Mengen an Verhaltensspuren, die für die Sozialforschung überaus interessant sind. Andere …