Degree-preserving graph dynamics -- a versatile process to construct random networks

Péter L. Erdős, Shubha R. Kharel, Tamás R. Mezei +1

Real-world networks evolve over time via additions or removals of vertices and edges. In current network evolution models, vertex degree varies or grows arbitrarily. A recently int…