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How does socioeconomic status influence social relations? A perspective from mobile phone data

Author

Listed:
  • Wang, Xi
  • Pei, Tao
  • Song, Ci
  • Chen, Jie
  • Shu, Hua
  • Liu, Yaxi
  • Guo, Sihui
  • Chen, Xiao

Abstract

Socioeconomic status (SES) and social relations are two important aspects of human social life. Does socioeconomic status influence social relations? If some relationship exists, it will help us understand various social issues such as economic mobility, social segregation, and disparity in health outcomes. Despite long-term efforts, our knowledge about how SES influences the strength and types of social relations is still limited. In this study, we used a large mobile phone dataset in Beijing, China, to study the relationship between SES and the strength and types of social relations at an urban population level. Specifically, we divided the social relations into three types based on users’ spatiotemporal mobility similarity: (1) family members with high similarity on weekday nights and weekends; (2) coworkers with high similarity on weekdays during the daytime; (3) friends with low similarity all the time. An individual’s SES was represented by the housing price in the home location. The results showed that people of higher SES (living in areas with higher housing prices) tend to interact less with others and allocate more time with friends but less time with family and coworkers than people of lower SES. Besides, people of higher SES split their time more unevenly to different social relationships. These findings shed light on solutions related to SES and inequality. For example, people of low SES could learn to expand their social circles by connecting with people who are different from their daily environment, which may bring upward social mobility and improve their well-being.

Suggested Citation

  • Wang, Xi & Pei, Tao & Song, Ci & Chen, Jie & Shu, Hua & Liu, Yaxi & Guo, Sihui & Chen, Xiao, 2023. "How does socioeconomic status influence social relations? A perspective from mobile phone data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
  • Handle: RePEc:eee:phsmap:v:615:y:2023:i:c:s037843712300167x
    DOI: 10.1016/j.physa.2023.128612
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    References listed on IDEAS

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    1. Raj Chetty & Matthew O. Jackson & Theresa Kuchler & Johannes Stroebel & Nathaniel Hendren & Robert B. Fluegge & Sara Gong & Federico Gonzalez & Armelle Grondin & Matthew Jacob & Drew Johnston & Martin, 2022. "Social capital I: measurement and associations with economic mobility," Nature, Nature, vol. 608(7921), pages 108-121, August.
    2. Qi Wang & Nolan Edward Phillips & Mario L. Small & Robert J. Sampson, 2018. "Urban mobility and neighborhood isolation in America’s 50 largest cities," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(30), pages 7735-7740, July.
    3. Gergő Tóth & Johannes Wachs & Riccardo Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    4. Lambiotte, Renaud & Blondel, Vincent D. & de Kerchove, Cristobald & Huens, Etienne & Prieur, Christophe & Smoreda, Zbigniew & Van Dooren, Paul, 2008. "Geographical dispersal of mobile communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5317-5325.
    5. Davidoff, Thomas, 2006. "Labor income, housing prices, and homeownership," Journal of Urban Economics, Elsevier, vol. 59(2), pages 209-235, March.
    6. Jian Gao & Yi-Cheng Zhang & Tao Zhou, 2019. "Computational Socioeconomics," Papers 1905.06166, arXiv.org.
    7. Shaojun Luo & Flaviano Morone & Carlos Sarraute & Matías Travizano & Hernán A. Makse, 2017. "Inferring personal economic status from social network location," Nature Communications, Nature, vol. 8(1), pages 1-7, August.
    8. Fisher, Robert J, 1993. "Social Desirability Bias and the Validity of Indirect Questioning," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 303-315, September.
    9. Zhou, Bin & Xu, Xiao-Ting & Liu, Jian-Guo & Xu, Xiao-Ke & Wang, Nianxin, 2019. "Information interaction model for the mobile communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1170-1176.
    10. Hidalgo, Cesar A. & Rodriguez-Sickert, C., 2008. "The dynamics of a mobile phone network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 3017-3024.
    11. Wang, Donggen & Chai, Yanwei, 2009. "The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei," Journal of Transport Geography, Elsevier, vol. 17(1), pages 30-38.
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