CUED Publications database

On nonstationarity of human contact networks

Scellato, S and Musolesi, M and Mascolo, C and Latora, V (2010) On nonstationarity of human contact networks. Proceedings - International Conference on Distributed Computing Systems. pp. 105-111.

Full text not available from this repository.

Abstract

The measurement and the analysis of the temporal patterns arising in human networks is of fundamental importance to many application domains including targeted advertising, opportunistic routing, resource provisioning (e.g., bandwidth allocation in infrastructured wireless networks) and, more in general, modeling of human social behavior. In this paper we present a novel and exhaustive study of the temporal dynamics of human networks and apply it to different sets of wireless network traces. We consider networks of contacts among users (i.e., peer-to-peer opportunistic networks). We show that we are able to quantify how the amount of information associated to the process evolves over time by using techniques based on time series analysis. We also demonstrate how regular patterns appear only at certain time scales: network dynamics appears nonstationary, in the sense that its statistical description is different at various time scales. These results provide a new methodology to accurately and quantitatively investigate the temporal properties of any type of human interactions and open new directions towards a better understanding of the regular nature of human social behavior. © 2010 IEEE.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:53
Last Modified: 08 Apr 2021 06:29
DOI: 10.1109/ICDCSW.2010.43