Abstract. Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks
Complex networks are large networks encountered in practice that seem to lack any apparent structure...
Networks can provide a useful model and graphic image useful for the description of a wide variety o...
In this dissertation, we present a study of complex systems with underlying network topology. Comple...
Inspired by empirical studies of networked systems such as the Internet, social networks, and biolog...
In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the unde...
A network is a mathematical object consisting of a set of points that are connected to each other in...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical p...
Complex networks describe a variety of systems found in nature and society. Traditionally these syst...
The problem of modeling complex social networks is considered from three perspectives: The problem o...
The problem of modeling complex social networks is considered from three per-spectives: The problem ...
In this chapter, we discuss complex networks as a prime example where the ideas from complexity theo...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
The scientific study of networks, including computer networks, social networks, and biological netwo...
Networks have become a general concept to model the structure of arbitrary relationships among entit...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...
Networks can provide a useful model and graphic image useful for the description of a wide variety o...
In this dissertation, we present a study of complex systems with underlying network topology. Comple...
Inspired by empirical studies of networked systems such as the Internet, social networks, and biolog...
In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the unde...
A network is a mathematical object consisting of a set of points that are connected to each other in...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical p...
Complex networks describe a variety of systems found in nature and society. Traditionally these syst...
The problem of modeling complex social networks is considered from three perspectives: The problem o...
The problem of modeling complex social networks is considered from three per-spectives: The problem ...
In this chapter, we discuss complex networks as a prime example where the ideas from complexity theo...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
The scientific study of networks, including computer networks, social networks, and biological netwo...
Networks have become a general concept to model the structure of arbitrary relationships among entit...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...
Networks can provide a useful model and graphic image useful for the description of a wide variety o...
In this dissertation, we present a study of complex systems with underlying network topology. Comple...