Using explosive percolation in analysis of real-world networks

Abstract

We apply a variant of the explosive percolation procedure to large real-world networks, and show with finite-size scaling that the university class, ordinary or explosive, of the resulting percolation transition depends on the structural properties of the network as well as the number of unoccupied links considered for comparison in our procedure. We observe that in our social networks, the percolation clusters close to the critical point are related to the community structure. This relationship is further highlighted by applying the procedure to model networks with pre-defined communities.

6 pages, 4 figures. Published version. Elongated to include the results and figures of finite-size scaling and modularity analysis

References in corpus (6)

• Comparing community structure identification
• Structure and tie strengths in mobile communication networks
• Analysis of a large-scale weighted network of one-to-one human communication
• Explosive percolation in scale-free networks
• Explosive percolation via control of the largest cluster
• Modularity produces small-world networks with dynamical time-scale separation