Modelling temporal networks of human face-to-face contacts with public activity and individual reachability

Yi-Qing Zhang, Jing Cui, Shu-Min Zhang, Qi Zhang and Xiang Li ()
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Yi-Qing Zhang: Adaptive Networks and Control Lab, Department of Electronic Engineering & Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University
Jing Cui: Adaptive Networks and Control Lab, Department of Electronic Engineering & Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University
Shu-Min Zhang: Adaptive Networks and Control Lab, Department of Electronic Engineering & Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University
Qi Zhang: Adaptive Networks and Control Lab, Department of Electronic Engineering & Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University
Xiang Li: Adaptive Networks and Control Lab, Department of Electronic Engineering & Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University

The European Physical Journal B: Condensed Matter and Complex Systems, 2016, vol. 89, issue 2, 1-8

Abstract: Abstract Modelling temporal networks of human face-to-face contacts is vital both for understanding the spread of airborne pathogens and word-of-mouth spreading of information. Although many efforts have been devoted to model these temporal networks, there are still two important social features, public activity and individual reachability, have been ignored in these models. Here we present a simple model that captures these two features and other typical properties of empirical face-to-face contact networks. The model describes agents which are characterized by an attractiveness to slow down the motion of nearby people, have event-triggered active probability and perform an activity-dependent biased random walk in a square box with periodic boundary. The model quantitatively reproduces two empirical temporal networks of human face-to-face contacts which are testified by their network properties and the epidemic spread dynamics on them.

Date: 2016
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DOI: 10.1140/epjb/e2015-60651-x

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