In the 4.5 decades since Altmann (1974) published her seminal paper on the methods for
the observational study of behaviour, automated detection and analysis of social interaction …

Analysing social networks is challenging. Key features of relational data require the use of
non‐standard statistical methods such as develo** system‐specific null, or reference …

Human social interactions in local settings can be experimentally detected by recording the
physical proximity and orientation of people. Such interactions, approximating face-to-face …

To explore evolutionary dynamics of collective behaviors within the interconnected
population, previous studies usually map non-pairwise interactions to higher-order static …

Members of a social species need to make appropriate decisions about who, how, and
when to interact with others in their group. However, it has been difficult for researchers to …

Identifying the hidden organizational principles and relevant structures of complex networks
is fundamental to understand their properties. To this end, uncovering the structures …

Socioeconomic segregation patterns in networks usually evolve gradually, yet they can
change abruptly in response to external shocks. The recent COVID-19 pandemic and the …

Human social interactions are typically recorded as time-specific dyadic interactions, and
represented as evolving (temporal) networks, where links are activated/deactivated over …

Physical and functional constraints on biological networks lead to complex topological
patterns across multiple scales in their organization. A particular type of higher-order …

Temporal graphs are commonly used to represent time-resolved relations between entities
in many natural and artificial systems. Many techniques were devised to investigate the …