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Daily Rhythms in Mobile Telephone Communication

Author

Listed:
  • Talayeh Aledavood
  • Eduardo López
  • Sam G B Roberts
  • Felix Reed-Tsochas
  • Esteban Moro
  • Robin I M Dunbar
  • Jari Saramäki

Abstract

Circadian rhythms are known to be important drivers of human activity and the recent availability of electronic records of human behaviour has provided fine-grained data of temporal patterns of activity on a large scale. Further, questionnaire studies have identified important individual differences in circadian rhythms, with people broadly categorised into morning-like or evening-like individuals. However, little is known about the social aspects of these circadian rhythms, or how they vary across individuals. In this study we use a unique 18-month dataset that combines mobile phone calls and questionnaire data to examine individual differences in the daily rhythms of mobile phone activity. We demonstrate clear individual differences in daily patterns of phone calls, and show that these individual differences are persistent despite a high degree of turnover in the individuals’ social networks. Further, women’s calls were longer than men’s calls, especially during the evening and at night, and these calls were typically focused on a small number of emotionally intense relationships. These results demonstrate that individual differences in circadian rhythms are not just related to broad patterns of morningness and eveningness, but have a strong social component, in directing phone calls to specific individuals at specific times of day.

Suggested Citation

  • Talayeh Aledavood & Eduardo López & Sam G B Roberts & Felix Reed-Tsochas & Esteban Moro & Robin I M Dunbar & Jari Saramäki, 2015. "Daily Rhythms in Mobile Telephone Communication," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-14, September.
  • Handle: RePEc:plo:pone00:0138098
    DOI: 10.1371/journal.pone.0138098
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    References listed on IDEAS

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    1. Alejandro Llorente & Manuel Garcia-Herranz & Manuel Cebrian & Esteban Moro, 2015. "Social Media Fingerprints of Unemployment," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-13, May.
    2. Fernando Peruani & Lionel Tabourier, 2011. "Directedness of Information Flow in Mobile Phone Communication Networks," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-9, December.
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    1. Federico Botta & Helen Susannah Moat & Tobias Preis, 2020. "Measuring the size of a crowd using Instagram," Environment and Planning B, , vol. 47(9), pages 1690-1703, November.
    2. Federico Botta & Charo I del Genio, 2017. "Analysis of the communities of an urban mobile phone network," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-14, March.
    3. Gui, Jun & Zheng, Zeyu & Fu, Dianzheng & Fu, Yang & Liu, Zhi, 2021. "Long-term correlations and multifractality of toll-free calls in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    4. Debora Jeske & Kenneth S Shultz, 2016. "Using social media content for screening in recruitment and selection: pros and cons," Work, Employment & Society, British Sociological Association, vol. 30(3), pages 535-546, June.
    5. Jun Gui & Zeyu Zheng & Dianzheng Fu & Zihao Yang & Yuan Gao & Zhi Liu, 2020. "Dynamics of calling activity to toll-free numbers in China," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-16, March.
    6. Sharma, Sujeet Kumar & Sharma, Manisha, 2019. "Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation," International Journal of Information Management, Elsevier, vol. 44(C), pages 65-75.

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