The self-similarity of complex networks is typically investigated through computational algorithms, the primary task of which is to cover the structure with a minimal number of boxes. Here we introduce a box-covering algorithm that outperforms previous ones in most cases. For the two benchmark cases tested, namely, the E. coli and the World Wide Web (WWW) networks, our results show that the improvement can be rather substantial, reaching up to 15% in the case of the WWW network.Swiss National Science Foundation (Contract 200021 126853)ETH (Research Grant CH1-01-08-2
Fractal and self-similarity are important characteristics of complex networks. The correlation dimen...
This paper discusses an approach developed for exploiting the local elementary movements of evolutio...
© 2014 Konstantin Igudesman, Roman Lavrenov and Victor Klassen. We introduce new method of calculati...
Abstract Research on fractal networks is a dynamically growing field of network science. A central i...
Complex networks have recently attracted much attention in diverse areas of science and technology. ...
doi:10.1088/1367-2630/9/6/177 Abstract. Fractal scaling and self-similar connectivity behaviour of s...
Complex networks have attracted much attention in diverse areas of science and technology. Multifrac...
A software system can be associated to a graph - called software network - whose nodes are the softw...
A fractal is a property of self-similarity, each small part of the fractal object is similar to the ...
Recently, self-similarity of complex networks have attracted much attention. Fractal dimension of co...
Abstract. The article is sacred to the questions of design of topology of complex networks with the ...
Complex networks have attracted growing attention in many fields. As a generalization of fractal ana...
A large number of real networks are characterized by two fundamental properties: they are small worl...
Fractals have been identified as a common feature of many natural and artificial systems that exhibi...
BACKGROUND: Networks or graphs play an important role in the biological sciences. Protein interactio...
Fractal and self-similarity are important characteristics of complex networks. The correlation dimen...
This paper discusses an approach developed for exploiting the local elementary movements of evolutio...
© 2014 Konstantin Igudesman, Roman Lavrenov and Victor Klassen. We introduce new method of calculati...
Abstract Research on fractal networks is a dynamically growing field of network science. A central i...
Complex networks have recently attracted much attention in diverse areas of science and technology. ...
doi:10.1088/1367-2630/9/6/177 Abstract. Fractal scaling and self-similar connectivity behaviour of s...
Complex networks have attracted much attention in diverse areas of science and technology. Multifrac...
A software system can be associated to a graph - called software network - whose nodes are the softw...
A fractal is a property of self-similarity, each small part of the fractal object is similar to the ...
Recently, self-similarity of complex networks have attracted much attention. Fractal dimension of co...
Abstract. The article is sacred to the questions of design of topology of complex networks with the ...
Complex networks have attracted growing attention in many fields. As a generalization of fractal ana...
A large number of real networks are characterized by two fundamental properties: they are small worl...
Fractals have been identified as a common feature of many natural and artificial systems that exhibi...
BACKGROUND: Networks or graphs play an important role in the biological sciences. Protein interactio...
Fractal and self-similarity are important characteristics of complex networks. The correlation dimen...
This paper discusses an approach developed for exploiting the local elementary movements of evolutio...
© 2014 Konstantin Igudesman, Roman Lavrenov and Victor Klassen. We introduce new method of calculati...