Title: The study of human behaviour dynamics in exercise mode

Authors: Li Wang; Bing Zhou; Shaocheng Qu; Xiaokun Zhu

Addresses: Network Centre, Wuhan Conservatory of Music, Wuhan city, Hubei Province, 430060, China ' Department of Information and Technology, Central China Normal University, Wuhan City, Hubei Province, 430079, China ' Department of Information and Technology, Central China Normal University, Wuhan City, Hubei Province, 430079, China ' Editorial Department of Journal, Central China Normal University, Wuhan City, Hubei Province, 430079, China

Abstract: An empirical analysis of the login datum of fitness club membership over the past 27 months is implemented, which shows that the interval time distribution of their logins presents obvious power-law properties whether all members, groups or individuals. And the scaling indexes of groups are different and linked with their level of activity. Studies on a certain time further reveal that the statistical characteristics of the same community can not be affected by the length of time. Moreover, the power exponents of individuals are also diverse. A conclusion is given to show that the scaling indexes of interval time distribution is dynamically influenced by the level of activity. Finally, by introducing the interest factor and time threshold parameters into the model, human dynamics model based on habit are obtained in order to explore the production mechanism of exercise behaviour of individuals.

Keywords: human dynamics; power law; interval time distribution; exercise behaviour; habit; human behaviour; behaviour dynamics; fitness clubs; club membership; dynamic modelling.

DOI: 10.1504/IJMIC.2013.056192

International Journal of Modelling, Identification and Control, 2013 Vol.20 No.2, pp.190 - 198

Published online: 27 Sep 2014 *

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