Coupled biological and chemical systems, neural networks, social interacting species, the Internet and the World Wide Web, are only a few examples of systems composed by a large number of highly… Expand

We consider and compare the results for two different network topologies: the Erdos–Renyi random graph and the Barabasi–Albert scale-free network.Expand

We introduce the concept of economic small worlds, that formalizes the idea of networks that are “cheap” to build, and nevertheless efficient in propagating information.Expand

We show that the breakdown of a single node is sufficient to collapse the efficiency of the entire system if the node is among the ones with largest load.Expand

We show that, in the MCA primal approach, much more than in the dual approach, some centrality indices nicely capture the ‘skeleton’ of the urban structure that impacts so much on spatial cognition.Expand

The application of the network approach to the urban case poses several questions in terms of how to deal with metric distances, which kind of graph representation to use, what kind of measures to investigate, how to deepen the correlation between measures of the structure and dynamics on the network, what are the possible contributions from the GIS community.Expand

We present NextPlace, a novel approach to location prediction based on nonlinear time series analysis of the arrival and residence times of users in relevant places.Expand

Recent theoretical and empirical studies have focused on the structural properties of complex relational networks in social, biological, and technological systems. Here we study the basic properties… Expand