Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/8348
Title: Unveiling the multi-fractal structure of complex networks
Authors: Jalan, Sarika
Yadav, Alok
Sarkar, Camellia
Keywords: Fractal dimension;Fractals;Proteins;Basic units;Fractal behaviors;Mono-fractals;Multi fractals;Protein-protein interaction networks;Quasi monos;Random network;Underlying networks;Complex networks
Issue Date: 2017
Publisher: Elsevier Ltd
Citation: Jalan, S., Yadav, A., Sarkar, C., & Boccaletti, S. (2017). Unveiling the multi-fractal structure of complex networks. Chaos, Solitons and Fractals, 97, 11-14. doi:10.1016/j.chaos.2017.01.021
Abstract: The fractal nature of graphs has traditionally been investigated by using the network's nodes as the basic units. Here, instead, we propose to concentrate on the graph's 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. © 2017 Elsevier Ltd
URI: https://doi.org/10.1016/j.chaos.2017.01.021
https://dspace.iiti.ac.in/handle/123456789/8348
ISSN: 0960-0779
Type of Material: Journal Article
Appears in Collections:Department of Physics

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