From networks to optimal higher-order models of complex systems | Nature Physics Skip to main
content Thank you for visiting nature.com. You are using a browser version with limited support …

Community detection in networks is one of the most popular topics of modern network
science. Communities, or clusters, are usually groups of vertices having higher probability of …

Detecting and analyzing dense groups or communities from social and information networks
has attracted immense attention over the last decade due to its enormous applicability in …

The modern science of networks has brought significant advances to our understanding of
complex systems. One of the most relevant features of graphs representing real systems is …

Synchronization processes in populations of locally interacting elements are the focus of
intense research in physical, biological, chemical, technological and social systems. The …

“But although, as a matter of history, statistical mechanics owes its origin to investigations in
thermodynamics, it seems eminently worthy of an independent development, both on …

Most methods proposed to uncover communities in complex networks rely on their structural
properties. Here we introduce the stability of a network partition, a measure of its quality …

The complexity of biological, social, and engineering networks makes it desirable to find
natural partitions into clusters (or communities) that can provide insight into the structure of …

Community structure plays a significant role in the analysis of social networks and similar
graphs, yet this structure is little understood and not well captured by most models. We …

Graph vertices are often organized into groups that seem to live fairly independently of the
rest of the graph, with which they share but a few edges, whereas the relationships between …