Abstract
Humans follow circadian rhythms, visible in their activity levels as well as physiological and psychological factors. Such rhythms are also visible in electronic communication records, where the aggregated activity levels of e.g. mobile telephone calls or Wikipedia edits are known to follow their own daily patterns. Here, we study the daily communication patterns of 24 individuals over 18 months, and show each individual has a different, persistent communication pattern. These patterns may differ for calls and text messages, which points towards calls and texts serving a different role in communication. For both calls and texts, evenings play a special role. There are also differences in the daily patterns of males and females both for calls and texts, both in how they communicate with individuals of the same gender versus opposite gender, and also in how communication is allocated at social ties of different nature (kin ties vs. non-kin ties). Taken together, our results show that there is an unexpected richness to the daily communication patterns, from different types of ties being activated at different times of day to different roles of channels and gender differences.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Note that in reality the total numbers of calls to friends might be much higher, because for the majority of alters it is unknown whether they are friends, acquaintances, or social ties of some different type. Here, we call those alters for whom an emotional closeness score is available in the surveys “friends”. However, we can still compare the ratio of calls to friends versus kin with texts to friends versus kin, because the set identified as friends is the same both for texts and calls.
References
Kerkhof, G.A.: Inter-individual differences in the human circadian system: a review. Biol. Psychol. 20, 83–112 (1985)
Czeisler, C.A., et al.: Stability, precision, and near-24-hour period of the human circadian pacemaker. Science 284, 2177–2181 (1999)
Panda, S., Hogenesch, J.B., Kay, S.A.: Circadian rhythms from flies to humans. Nature 417, 329–335 (2002)
Yasseri, T., Sumi, R., Kertész, J.: Circadian patterns of wikipedia editorial activity: a demographic analysis. PLoS One 7, e30091 (2012)
Yasseri, T., Quattrone, G., Mashhadi, A.: Temporal analysis of activity patterns of editors in collaborative mapping project of openstreetmap. In: Proceedings of the 9th International Symposium on Open Collaboration, p. 13. ACM (2013)
Jo, H.-H., Karsai, M., Kertész, J., Kaski, K.: Circadian pattern and burstiness in mobile phone communication. New J. Phys. 14, 013055 (2012)
Louail, T., et al.: From mobile phone data to the spatial structure of cities. Sci. Rep. 4 (2014)
ten Thij, M., Bhulai, S., Kampstra, P.: Circadian patterns in twitter. In: Data Analytics 2014, The Third International Conference on Data Analytics, pp. 12–17 (2014)
Aledavood, T., López, E., Roberts, S.G.B., Reed-Tsochas, F., Moro, E., Dunbar, R.I.M., et al.: Daily rhythms in mobile telephone communication. PLoS ONE 10(9), e0138098 (2015). doi:10.1371/journal.pone.0138098
Stopczynski, A., et al.: Measuring large-scale social networks with high resolution. PLoS One 9, e95978 (2014)
Ling, R.: The Mobile Connection: The Cell Phone’s Impact on Society. Morgan Kaufmann (2004)
Roberts, S.G.B., Dunbar, R.I.M.: The costs of family and friends: an 18-month longitudinal study of relationship maintenance and decay. Evol. Human Behav. 32, 186–197 (2011)
Saramäki, J., et al.: Persistence of social signatures in human communication. Proc. Natl. Acad. Sci. USA 111, 942–947 (2014)
Zainudeen, A., Iqbal, T., Samarajiva, R.: Who’s got the phone? gender and the use of the telephone at the bottom of the pyramid. New Media Soc. 12, 549–566 (2010)
DeBaillon, L., Rockwell, P.: Gender and student-status differences in cellular telephone use. Int. J. Mobile Commun. 3, 82–98 (2005)
Palchykov, V., Kaski, K., Kertész, J., Barabási, A.-L., Dunbar, R.: Sex differences in intimate relationships. Sci. Rep. 2 (2012)
Holme, P., Saramäki, J.: Temporal networks. Phys. Rep. 519, 97–125 (2011)
Acknowledgments
TA and JS acknowledge support from the Academy of Finland, project “Temporal networks of human interactions” (no. 260427), and computational resources by Aalto Science IT. RD’s research is supported by an ERC Advanced grant. SGBR and RD acknowledge support from the UK EPSRC and ESRC research councils for collecting the data.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Aledavood, T. et al. (2016). Channel-Specific Daily Patterns in Mobile Phone Communication. In: Battiston, S., De Pellegrini, F., Caldarelli, G., Merelli, E. (eds) Proceedings of ECCS 2014. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-29228-1_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-29228-1_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-29226-7
Online ISBN: 978-3-319-29228-1
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)