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Condensed Matter > Disordered Systems and Neural Networks

Title: Singularities in ternary mixtures of k-core percolation

Abstract: Heterogeneous k-core percolation is an extension of a percolation model which has interesting applications to the resilience of networks under random damage. In this model, the notion of node robustness is local, instead of global as in uniform k-core percolation. One of the advantages of k-core percolation models is the validity of an analytical mathematical framework for a large class of network topologies. We study ternary mixtures of node types in random networks and show the presence of a new type of critical phenomenon. This scenario may have useful applications in the stability of large scale infrastructures and the description of glass-forming systems.
Comments: To appear in Complex Networks, Studies in Computational Intelligence, Proceedings of CompleNet 2013
Subjects: Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech); Mathematical Physics (math-ph)
Cite as: arXiv:1301.4556 [cond-mat.dis-nn]
  (or arXiv:1301.4556v1 [cond-mat.dis-nn] for this version)

Submission history

From: Davide Cellai Dr. [view email]
[v1] Sat, 19 Jan 2013 11:23:41 GMT (798kb,D)