All beauty, richness and harmony in the emergent dynamics of a complex system largely
depend on the specific way in which its elementary components interact. The last twenty-five …

Gathering events, eg, going to gyms and meetings, are ubiquitous and crucial in the
spreading phenomena, which induce higher-order interactions, and thus can be described …

A paramount research challenge in network and complex systems science is to understand
the dissemination of diseases, information and behaviour. The COVID-19 pandemic and the …

Based on the binary time series data of social infection dynamics, we propose a general
framework to reconstruct the 2-simplicial complexes with two-body and three-body …

Complex networks represent the natural backbone to study epidemic processes in
populations of interacting individuals. Such a modeling framework, however, is naturally …

Networks allow us to describe a wide range of interaction phenomena that occur in complex
systems arising in such diverse fields of knowledge as neuroscience, engineering, ecology …

Previous efforts on data-based reconstruction focused on complex networks with pairwise or
two-body interactions. There is a growing interest in networks with higher-order or many …

Contagion phenomena are often the results of multibody interactions—such as
superspreading events or social reinforcement—describable as hypergraphs. We develop …

Contagion processes relying on the exposure to multiple sources are prevalent in social
systems, and are effectively represented by hypergraphs. In this Letter, we derive a mean …

Mathematical epidemiology that describes the complex dynamics on social networks has
become increasingly popular. However, a few methods have tackled the problem of …