A New Method of Quantifying the Complexity of Fractal Networks
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- @Article{Babic:2022:FF,
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author = "Matej Babic and Dragan Marinkovic and Miha Kovacic and
Branko Ster and Michele Cali",
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title = "A New Method of Quantifying the Complexity of Fractal
Networks",
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journal = "Fractal and Fractional",
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year = "2022",
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volume = "6",
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number = "6",
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pages = "article number 282",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2504-3110",
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URL = "https://www.mdpi.com/2504-3110/6/6/282",
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DOI = "doi:10.3390/fractalfract6060282",
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abstract = "There is a large body of research devoted to
identifying the complexity of structures in networks.
In the context of network theory, a complex network is
a graph with nontrivial topological features; features
that do not occur in simple networks, such as lattices
or random graphs, but often occur in graphs modeling
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 and logistic transport networks.
Transport is of great importance for the economic and
cultural cooperation of any country with other
countries, the strengthening and development of the
economic management system, and in solving social and
economic problems. Provision of the territory with a
well-developed transport system is one of the factors
for attracting population and production, serving as an
important advantage for locating productive forces and
providing an integration effect. we introduce a new
method for quantifying the complexity of a network
based on presenting the nodes of the network in
Cartesian coordinates, converting to polar coordinates,
and calculating the fractal dimension using the
ReScaled ranged (R/S) method. Our results suggest that
this approach can be used to determine complexity for
any type of network that has fixed nodes, and it
presents an application of this method in the public
transport system.",
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notes = "Also known as \cite{fractalfract6060282}",
- }
Genetic Programming entries for
Matej Babic
Dragan Marinkovic
Miha Kovacic
Branko Ster
Michele Cali
Citations