There is an abundance of literature on complex networks describing a variety of relationships among units in social, biological, and technological systems. Such networks, consisting of interconnected nodes, are often self-organized, naturally emerging without any overarching designs on topological structure yet enabling efficient interactions among nodes. Here we show that the number of nodes and the density of connections in such self-organized networks exhibit a power law relationship. We examined the size and connection density of 46 self-organizing networks of various biological, social, and technological origins, and found that the size-density relationship follows a fractal relationship spanning over 6 orders of magnitude. This findin...
Mixing patterns in large self-organizing networks, such as the Internet, the World Wide Web, and soc...
BACKGROUND: Networks or graphs play an important role in the biological sciences. Protein interactio...
Complex networks are everywhere. Many phenomena in nature can be modeled as networks: - brain struct...
Many complex systems--from social and communication networks to biological networks and the Internet...
Contains fulltext : 157557.pdf (publisher's version ) (Open Access)The organizatio...
We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test w...
doi:10.1088/1367-2630/9/6/177 Abstract. Fractal scaling and self-similar connectivity behaviour of s...
We introduce a mechanism which models the emergence of the universal properties of complex networks,...
Complex networks have been shown to exhibit universal properties, with one of the most consistent pa...
Fractal and self-similarity are important characteristics of complex networks. The correlation dimen...
Real growing networks such as the World Wide Web or personal connection based networks are character...
We study the betweenness centrality of fractal and non-fractal scale-free network models as well as ...
The last few years have led to a series of discoveries that uncovered statistical properties that ar...
It has recently been recognized that a large num-ber of systems are organized into structures best d...
Motivated by the hierarchial network model of E. Ravasz, A.-L. Barabási, and T. Vicsek, we introduce...
Mixing patterns in large self-organizing networks, such as the Internet, the World Wide Web, and soc...
BACKGROUND: Networks or graphs play an important role in the biological sciences. Protein interactio...
Complex networks are everywhere. Many phenomena in nature can be modeled as networks: - brain struct...
Many complex systems--from social and communication networks to biological networks and the Internet...
Contains fulltext : 157557.pdf (publisher's version ) (Open Access)The organizatio...
We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test w...
doi:10.1088/1367-2630/9/6/177 Abstract. Fractal scaling and self-similar connectivity behaviour of s...
We introduce a mechanism which models the emergence of the universal properties of complex networks,...
Complex networks have been shown to exhibit universal properties, with one of the most consistent pa...
Fractal and self-similarity are important characteristics of complex networks. The correlation dimen...
Real growing networks such as the World Wide Web or personal connection based networks are character...
We study the betweenness centrality of fractal and non-fractal scale-free network models as well as ...
The last few years have led to a series of discoveries that uncovered statistical properties that ar...
It has recently been recognized that a large num-ber of systems are organized into structures best d...
Motivated by the hierarchial network model of E. Ravasz, A.-L. Barabási, and T. Vicsek, we introduce...
Mixing patterns in large self-organizing networks, such as the Internet, the World Wide Web, and soc...
BACKGROUND: Networks or graphs play an important role in the biological sciences. Protein interactio...
Complex networks are everywhere. Many phenomena in nature can be modeled as networks: - brain struct...