On the Dynamics of Human Proximity for Data Diffusion in Ad-Hoc Networks.

André Panisson, Alain Barrat, Ciro Cattuto, Wouter Van den Broeck, Giancarlo Ruffo, and Rossano Schifanella. Ad Hoc Networks 10, 1532-1543 (2012, available online June 2011), doi: 10.1016/ j.adhoc.2011.06.003

Abstract

We report on a data-driven investigation aimed at understanding the dynamics of message spreading in a real-world dynamical network of human proximity. We use data collected by means of a proximity-sensing network of wearable sensors that we deployed at three different social gatherings, simultaneously involving several hundred individuals. We simulate a message spreading process over the recorded proximity network, focusing on both the topological and the temporal properties. We show that by using an appropriate technique to deal with the temporal heterogeneity of proximity events, a universal statistical pattern emerges for the delivery times of messages, robust across all the data sets. Our results are useful to set constraints for generic processes of data dissemination, as well as to validate established models of human mobility and proximity that are frequently used to simulate realistic behaviors.


URL: http://www.sciencedirect.com/science/article/pii/S1570870511001272

BIBTEX:

@article{Panisson2011,
  title = {On the Dynamics of Human Proximity for Data Diffusion in
 Ad-Hoc Networks},
  journal = {Ad Hoc Networks},
  volume = 10,
  pages= {1532--1543},
  year = {2012},
  issn = {1570-8705},
  doi = {10.1016/j.adhoc.2011.06.003},
  url = {http://www.sciencedirect.com/science/article/pii/S1570870511001272},
  author = {Panisson, André and Barrat, Alain and Cattuto, Ciro and Wouter
    {Van den Broeck}, Wouter and Ruffo, Giancarlo and Schifanella, Rossano},
  keywords = {SocioPatterns; Mobile Networks; Opportunistic/Delay-Tolerant Protocols; Data Diffusion}
}

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