English

Explosive Percolation in the Human Protein Homology Network

Molecular Networks 2015-05-14 v1 Disordered Systems and Neural Networks Statistical Mechanics Populations and Evolution

Abstract

We study the explosive character of the percolation transition in a real-world network. We show that the emergence of a spanning cluster in the Human Protein Homology Network (H-PHN) exhibits similar features to an Achlioptas-type process and is markedly different from regular random percolation. The underlying mechanism of this transition can be described by slow-growing clusters that remain isolated until the later stages of the process, when the addition of a small number of links leads to the rapid interconnection of these modules into a giant cluster. Our results indicate that the evolutionary-based process that shapes the topology of the H-PHN through duplication-divergence events may occur in sudden steps, similarly to what is seen in first-order phase transitions.

Keywords

Cite

@article{arxiv.0911.4082,
  title  = {Explosive Percolation in the Human Protein Homology Network},
  author = {Hernán D. Rozenfeld and Lazaros K. Gallos and Hernán A. Makse},
  journal= {arXiv preprint arXiv:0911.4082},
  year   = {2015}
}

Comments

13 pages, 6 figures