 Degree-preserving randomization

Degree-preserving randomization is a technique used primarily in the field of network analysis, particularly in the context of social networks and graph theory. The main goal of degree-preserving randomization is to shuffle the connections (edges) between nodes (vertices) in a network while maintaining the original degree distribution of the nodes. In more detail: 1. **Degree of a Node**: The degree of a node in a graph is the number of edges connected to it.