Correlations in complex networks under attack

Autor: Srivastava, Animesh, Mitra, Bivas, Ganguly, Niloy, Peruani, Fernando
Rok vydání: 2013
Předmět:
Zdroj: Phys. Rev. E 86, 036106 (2012)
Druh dokumentu: Working Paper
DOI: 10.1103/PhysRevE.86.036106
Popis: For any initial correlated network after any kind of attack where either nodes or edges are removed, we obtain general expressions for the degree-degree probability matrix and degree distribution. We show that the proposed analytical approach predicts the correct topological changes after the attack by comparing the evolution of the assortativity coefficient for different attack strategies and intensities in theory and simulations. We find that it is possible to turn an initial assortative network into a disassortative one, and vice versa, by fine-tuning removal of either nodes or edges. For an initial uncorrelated network, on the other hand, we discover that only a targeted edge-removal attack can induce such correlations.
Databáze: arXiv