Input-output relationship in social communications characterized by spike train analysis

@article{Aoki2016InputoutputRI,
  title={Input-output relationship in social communications characterized by spike train analysis},
  author={Takaaki Aoki and Taro Takaguchi and Ryota Kobayashi and Renaud Lambiotte},
  journal={Physical review. E},
  year={2016},
  volume={94 4-1},
  pages={
          042313
        }
}
We study the dynamical properties of human communication through different channels, i.e., short messages, phone calls, and emails, adopting techniques from neuronal spike train analysis in order to characterize the temporal fluctuations of successive interevent times. We first measure the so-called local variation (LV) of incoming and outgoing event sequences of users and find that these in- and out-LV values are positively correlated for short messages and uncorrelated for phone calls and… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 35 references

PLoS ONE 10

  • C. Sanlı, R. Lambiotte
  • e0131704
  • 2015
Highly Influential
4 Excerpts

Nature 435

  • A.-L. Barabási
  • 207
  • 2005
Highly Influential
4 Excerpts

Neural Comput

  • S. Shinomoto, K. Shima, J. Tanji
  • 15, 2823
  • 2003
Highly Influential
3 Excerpts

Ahtola, Analysis of Covariance (Thousand 13 Oaks: SAGE Publications, Inc

  • W O.A.R.
  • 1978
Highly Influential
3 Excerpts

5

  • L. Tabourier, A.-S. Libert, R. Lambiotte, EPJ Data Sci
  • 1
  • 2016
1 Excerpt

Epj B 88

  • P. Holme
  • 234
  • 2015
1 Excerpt

Rev

  • R. Pastor-Satorras, C. Castellano, P. Van Mieghem, A. Vespignani
  • Mod. Phys. 87, 925
  • 2015

Phys

  • T. Onaga, S. Shinomoto
  • Rev. E 89, 042817
  • 2014

in Temporal Networks

  • N. Masuda, T. Takaguchi, N. Sato, K. Yano
  • edited by P. Holme and J. Saramäki
  • 2013

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