Application of Fractals in Complex Networks of Engineering and Medicine

Dear Colleagues,

Fractals are models generated by mathematical equations, resulting in chaotic systems. The extension of the concepts of the fractal geometry toward the life sciences has brought significant progress in understanding the complexity and topological properties of networks that characterize DNA sequences, material microstructures, transport systems, and landscape roughness. Fractal analysis is useful in the study of complex networks, present in both natural and artificial systems (e.g., computer systems, transport systems, brain and social networks), allowing further development of the field in network science. A large body of research has been devoted to identifying the complexity of structures in networks. In the context of network theory, a complex network is a graph with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs, but often occur in graphs modelling real systems. The study of complex networks is a young and active area of scientific research inspired largely by the empirical study of real-world networks, such as computer networks.

The focus of this Special Issue is to continue to advance research on topics relating to fractals and application to complex networks in engineering and medicine. We welcome you to contribute your interesting work.

Dr. Matej Babič
Dr. Andrej Srakar
Guest Editors

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