Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2010-10-15
Phys. Rev. E 83, 046112 (2011)
Physics
Condensed Matter
Disordered Systems and Neural Networks
6 pages, 4 figures. Published version. Elongated to include the results and figures of finite-size scaling and modularity anal
Scientific paper
10.1103/PhysRevE.83.046112
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.
Kaski Kimmo K.
Kertesz Janos
Kivela Mikko
Pan Raj Kumar
Saramaki Jari
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