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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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