@article{cattuto2010dynamics,
  abstract = {<sec>
<title>Background</title>
<p>Digital networks, mobile devices, and the possibility of mining the ever-increasing amount of digital traces that we leave behind in our daily activities are changing the way we can approach the study of human and social interactions. Large-scale datasets, however, are mostly available for collective and statistical behaviors, at coarse granularities, while high-resolution data on person-to-person interactions are generally limited to relatively small groups of individuals. Here we present a scalable experimental framework for gathering real-time data resolving face-to-face social interactions with tunable spatial and temporal granularities.</p>
</sec><sec>
<title>Methods and Findings</title>
<p>We use active Radio Frequency Identification (RFID) devices that assess mutual proximity in a distributed fashion by exchanging low-power radio packets. We analyze the dynamics of person-to-person interaction networks obtained in three high-resolution experiments carried out at different orders of magnitude in community size. The data sets exhibit common statistical properties and lack of a characteristic time scale from 20 seconds to several hours. The association between the number of connections and their duration shows an interesting super-linear behavior, which indicates the possibility of defining super-connectors both in the number and intensity of connections.</p>
</sec><sec>
<title>Conclusions</title>
<p>Taking advantage of scalability and resolution, this experimental framework allows the monitoring of social interactions, uncovering similarities in the way individuals interact in different contexts, and identifying patterns of super-connector behavior in the community. These results could impact our understanding of all phenomena driven by face-to-face interactions, such as the spreading of transmissible infectious diseases and information.</p>
</sec>},
  author = {Cattuto, Ciro and den Broeck, Wouter Van and Barrat, Alain and Colizza, Vittoria and Pinton, Jean-François and Vespignani, Alessandro},
  doi = {10.1371/journal.pone.0011596},
  interhash = {ef601366d60939c7d4dd8e2509932bfb},
  intrahash = {0e0e2b183404405b99ffab0b1ca81d5a},
  journal = {PLoS ONE},
  month = {07},
  number = 7,
  pages = {e11596},
  publisher = {Public Library of Science},
  title = {Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks},
  url = {http://dx.doi.org/10.1371%2Fjournal.pone.0011596},
  volume = 5,
  year = 2010
}

@inproceedings{g2009social,
  author = {?},
  booktitle = {Proc. 8th International Semantic Web Conference(ISWC)},
  date = {(2009)},
  interhash = {f979f6f4f588848a54de31f1c3422c73},
  intrahash = {66d0b23e8c522447b471190972c23ca3},
  location = {October 2009},
  title = {Live Social Semantics},
  url = {http://eprints.ecs.soton.ac.uk/17772/},
  year = 2009
}

@misc{Barrat2008,
  abstract = {  In this paper we present an experimental framework to gather data on
face-to-face social interactions between individuals, with a high spatial and
temporal resolution. We use active Radio Frequency Identification (RFID)
devices that assess contacts with one another by exchanging low-power radio
packets. When individuals wear the beacons as a badge, a persistent radio
contact between the RFID devices can be used as a proxy for a social
interaction between individuals. We present the results of a pilot study
recently performed during a conference, and a subsequent preliminary data
analysis, that provides an assessment of our method and highlights its
versatility and applicability in many areas concerned with human dynamics.
},
  author = {Barrat, Alain and Cattuto, Ciro and Colizza, Vittoria and Pinton, Jean-Francois and den Broeck, Wouter Van and Vespignani, Alessandro},
  interhash = {7868941dd765a5a1f02df5cbfe49c9ef},
  intrahash = {f1fb2322336e3f1c7336b0d475311d42},
  note = {cite arxiv:0811.4170
},
  title = {High resolution dynamical mapping of social interactions with active
  RFID},
  url = {http://arxiv.org/abs/0811.4170},
  year = 2008
}