The number of network science applications across many different fields has been rapidly
increasing. Surprisingly, the development of theory and domain-specific applications often …

Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

In the wake of the COVID-19 pandemic many countries implemented containment measures
to reduce disease transmission. Studies using digital data sources show that the mobility of …

Higher-order networks describe the many-body interactions of a large variety of complex
systems, ranging from the the brain to collaboration networks. Simplicial complexes are …

Heterogeneities in contact networks have a major effect in determining whether a pathogen
can become epidemic or persist at endemic levels. Epidemic models that determine which …

Social and cultural forces shape almost every aspect of infectious disease transmission in
human populations, as well as our ability to measure, understand, and respond to …

In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Mathematical and computational modeling approaches are increasingly used as
quantitative tools in the analysis and forecasting of infectious disease epidemics. The …

Individuals with depressive symptoms are more likely to be isolated in their social networks,
which can further increase their symptoms. Although social interactions are an important …

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