Betweenness centrality is a fundamental metric in network science that quantifies the importance of a node by measuring the proportion of shortest paths that pass through it. This measure underpins ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

This five week module will provide a brief introduction to the study of complex networks, with applications drawn from physics, biology, and the social sciences. Topics to be covered include weights, ...