Abstract
In the context of growing networks, we introduce a simple dynamical model that unifies the generic features of real networks: scale-free distribution of degree and the small-world effect. While the average shortest path length increases logarithmically as in random networks, the clustering coefficient assumes a large value independent of system size. We derive analytical expressions for the clustering coefficient in two limiting cases: random and highly clustered scale-free networks.
- Received 31 July 2001
DOI:https://doi.org/10.1103/PhysRevE.65.057102
©2002 American Physical Society