On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
A random graph model for massive graphs
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
The diameter of random massive graphs
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Stochastic models for the Web graph
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Modeling Roaming in Large-scaleWireless Networks Using Real Measurements
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
User-Centric Mobility Models for Opportunistic Networking
Bio-Inspired Computing and Communication
SAGA: socially- and geography-aware mobility modeling framework
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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There is an increasing consensus that existing mobility models, such as the well-known random walk or random waypoint models, are insufficient to represent real node mobility. In this paper, we discuss the need for a better characterization of natural mobility. Our contributions rely on recent advances of real-life network analysis and modelling, and in particular on the observation that natural networks behave on a scale-free basis. We devise then a novel mobility modelling approach that focuses on the behavioral aspect of individuals and the interactions between them. This fulfils a gap between individual and group mobility models. Our first results show a strong relevance of the scale-free distribution in mobility modelling, and open further directions in modelling the costs associated to building a network structure in general.