Albert - László Barabási , Emergence of Scaling in Random Networks

Albert - László Barabási and Réka Albert Emergence of Scaling in Random Networks

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Mean-field theory for scale-free random networks

Random networks with complex topology are common in Nature, describing systems as diverse as the world wide web or social and business networks. Recently, it has been demonstrated that most large networks for which topological information is available display scale-free features. Here we study the scaling properties of the recently introduced scale-free model, that can account for the observed ...

László Barabási , Emergence of Scaling in Random Networks

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3 Emergence of scaling in complex networks

Advances in many fields faced with complex systems, ranging from biology to computer science, are hindered by the limited understanding of the complex webs that characterize the interactions between the system’s constituents. These networks assemble and evolve through the addition and removal of nodes and links, dynamical processes that eventually determine their topology. There is increasing e...

Albert - László Barabási Network Science Acknowledgements Random Networks 3 Márton