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Modeling Human Dynamics of Face-to-Face Interaction Networks

Michele Starnini, Andrea Baronchelli, and Romualdo Pastor-Satorras
Phys. Rev. Lett. 110, 168701 – Published 15 April 2013
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Face-to-face interaction networks describe social interactions in human gatherings, and are the substrate for processes such as epidemic spreading and gossip propagation. The bursty nature of human behavior characterizes many aspects of empirical data, such as the distribution of conversation lengths, of conversations per person, or of interconversation times. Despite several recent attempts, a general theoretical understanding of the global picture emerging from data is still lacking. Here we present a simple model that reproduces quantitatively most of the relevant features of empirical face-to-face interaction networks. The model describes agents that perform a random walk in a two-dimensional space and are characterized by an attractiveness whose effect is to slow down the motion of people around them. The proposed framework sheds light on the dynamics of human interactions and can improve the modeling of dynamical processes taking place on the ensuing dynamical social networks.

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  • Received 16 January 2013


© 2013 American Physical Society

Authors & Affiliations

Michele Starnini1, Andrea Baronchelli2, and Romualdo Pastor-Satorras1

  • 1Departament de Física i Enginyeria Nuclear, Universitat Politècnica de Catalunya, Campus Nord B4, 08034 Barcelona, Spain
  • 2Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston Massachusetts 02115, USA

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Vol. 110, Iss. 16 — 19 April 2013

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