The scale-free (SF) structures that commonly appear in many complex networks are a hot topic in social, biological, and information sciences. These self-organized generation mechanisms are expected to be useful for efficient communication or robust connectivity in sociotechnological infrastructures. This paper is the first review of geographical SF network models. We discuss the essential generation mechanisms for inducing the structures with power-law behavior, and consider the properties of planarity and link length. Distributed design of geographical SF networks without the crossing and long-range links that cause interference and dissipation problems is very important for many applications such as communications, power grids, and sensor...
Many networks such as the Internet have been found to possess scale-free and small-world network pro...
Inspired by the structure of technological networks, we discuss network evolution mechanisms which g...
Scale-free networks are abundant both in nature (e.g. protein interactions and social networks) and ...
Scale-free networks have been studied mostly as non-spatially embedded systems. However, in many rea...
Many real networks have a common topological structure called scale-free (SF) that follows a power l...
International audienceMany networks such as the Internet have been found to possess scale-free and s...
A method for embedding graphs in Euclidean space is suggested. The method connects nodes to their ge...
Scale-free networks are a recently developed approach to modeling the interactions found in complex ...
The node degrees of large real-world networks often follow a power-law distribution. Such scale-free...
The short paths between any two nodes and the robustness of connectivity are advanced properties of ...
The Scale-Free Networks model is considered a significant discovery because it has been successfully...
Uncorrelated scale-free networks are necessarily small world (and, in fact, smaller than small world...
It has recently been recognized that a large num-ber of systems are organized into structures best d...
The concept of scale-free networks has been widely applied across natural and physical sciences. Man...
A variety of different social, natural and technological systems can be described by the same mathem...
Many networks such as the Internet have been found to possess scale-free and small-world network pro...
Inspired by the structure of technological networks, we discuss network evolution mechanisms which g...
Scale-free networks are abundant both in nature (e.g. protein interactions and social networks) and ...
Scale-free networks have been studied mostly as non-spatially embedded systems. However, in many rea...
Many real networks have a common topological structure called scale-free (SF) that follows a power l...
International audienceMany networks such as the Internet have been found to possess scale-free and s...
A method for embedding graphs in Euclidean space is suggested. The method connects nodes to their ge...
Scale-free networks are a recently developed approach to modeling the interactions found in complex ...
The node degrees of large real-world networks often follow a power-law distribution. Such scale-free...
The short paths between any two nodes and the robustness of connectivity are advanced properties of ...
The Scale-Free Networks model is considered a significant discovery because it has been successfully...
Uncorrelated scale-free networks are necessarily small world (and, in fact, smaller than small world...
It has recently been recognized that a large num-ber of systems are organized into structures best d...
The concept of scale-free networks has been widely applied across natural and physical sciences. Man...
A variety of different social, natural and technological systems can be described by the same mathem...
Many networks such as the Internet have been found to possess scale-free and small-world network pro...
Inspired by the structure of technological networks, we discuss network evolution mechanisms which g...
Scale-free networks are abundant both in nature (e.g. protein interactions and social networks) and ...