English

Unveiling the Multi-fractal Structure of Complex Networks

Physics and Society 2017-04-05 v2 Disordered Systems and Neural Networks Adaptation and Self-Organizing Systems

Abstract

The fractal nature of graphs has traditionally been investigated by using the nodes of networks as the basic units. Here, instead, we propose to concentrate on the graph edges, and introduce a practical and computationally not demanding method for revealing changes in the fractal behavior of networks, and particularly for allowing distinction between mono-fractal, quasi mono-fractal, and multi-fractal structures. We show that degree homogeneity plays a crucial role in determining the fractal nature of the underlying network, and report on six different protein-protein interaction networks along with their corresponding random networks. Our analysis allows to identify varying levels of complexity in the species.

Keywords

Cite

@article{arxiv.1610.06662,
  title  = {Unveiling the Multi-fractal Structure of Complex Networks},
  author = {Sarika Jalan and Alok Yadav and Camellia Sarkar and Stefano Boccaletti},
  journal= {arXiv preprint arXiv:1610.06662},
  year   = {2017}
}

Comments

7 pages, 4 figures, and 9 pages Supplementary Material