Pocket switched networks and human mobility in conference environments
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
An integrated mobility and traffic model for vehicular wireless networks
Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks
Model T: an empirical model for user registration patterns in a campus wireless LAN
Proceedings of the 11th annual international conference on Mobile computing and networking
Model T++: an empirical joint space-time registration model
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
A community based mobility model for ad hoc network research
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Sources of asymmetric randomness
Proceedings of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008
Toward a space-time mobility model for social communities
Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
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We contrast properties and parameters of a Pareto distribution law with the behavior of memory endowed processes underlying the intercontact times of opportunistic networks. Within a general model where mobile agents meet together as a consequence of a common goal they are carrying out, the memory of the process identifies with the agent intention versus a goal, where intention consists in turn in the introduction of asymmetries into a random walk. With these elementary hypotheses we come to a very elementary agents mobility model as a semantic counterpart of the Pareto law. In particular this model gives a suitable meaning to law parameters and a rationale to its fitting of a benchmark of real intercontact times.