Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …

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 …

In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

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

Abstract Models of epidemic spreading on complex networks have attracted great attention
among researchers in physics, mathematics, and epidemiology due to their success in …

Professor Barabási's talk described how the tools of network science can help understand
the Web's structure, development and weaknesses. The Web is an information network, in …

Examining important results and analytical techniques, this graduate-level textbook is a step-
by-step presentation of the structure and function of complex networks. Using a range of …

We study percolation on networks, which is used as a model of the resilience of networked
systems such as the Internet to attack or failure and as a simple model of the spread of …

Non-human primates (NHPs) are a preferred animal model for optimizing adeno-associated
virus (AAV)-mediated CNS gene delivery protocols before clinical trials. In spite of its …

Many complex systems that exhibit temporal nonpairwise interactions can be represented by
means of generative higher-order network models. Here, we propose a hidden variable …