IDEAS home Printed from https://ideas.repec.org/a/spr/jcsosc/v3y2020i1d10.1007_s42001-019-00054-8.html
   My bibliography  Save this article

Different patterns of social closeness observed in mobile phone communication

Author

Listed:
  • Mikaela Irene D. Fudolig

    (Asia Pacific Center for Theoretical Physics)

  • Daniel Monsivais

    (Aalto University)

  • Kunal Bhattacharya

    (Aalto University)

  • Hang-Hyun Jo

    (Asia Pacific Center for Theoretical Physics
    Aalto University
    Pohang University of Science and Technology)

  • Kimmo Kaski

    (Aalto University
    The Alan Turing Institute)

Abstract

We analyze a large-scale mobile phone call dataset containing information on the age, gender, and billing locality of users to get insight into social closeness in pairs of individuals of similar age. We show that in addition to using the demographic information, the ranking of contacts by their call frequency in egocentric networks is crucial to characterize the different communication patterns. We find that mutually top-ranked opposite-gender pairs show the highest levels of call frequency and daily regularity, which is consistent with the behavior of real-life romantic partners. At somewhat lower level of call frequency and daily regularity come the mutually top-ranked same-gender pairs, while the lowest call frequency and daily regularity are observed for mutually non-top-ranked pairs. We have also observed that older pairs tend to call less frequently and less regularly than younger pairs, while the average call durations exhibit a more complex dependence on age. We expect that a more detailed analysis can help us better characterize the nature of relationships between pairs of individuals and distinguish between various types of relations, such as siblings, friends, and romantic partners.

Suggested Citation

  • Mikaela Irene D. Fudolig & Daniel Monsivais & Kunal Bhattacharya & Hang-Hyun Jo & Kimmo Kaski, 2020. "Different patterns of social closeness observed in mobile phone communication," Journal of Computational Social Science, Springer, vol. 3(1), pages 1-17, April.
    • Handle: RePEc:spr:jcsosc:v:3:y:2020:i:1:d:10.1007_s42001-019-00054-8
    DOI: 10.1007/s42001-019-00054-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42001-019-00054-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s42001-019-00054-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kristen Hawkes, 2004. "The grandmother effect," Nature, Nature, vol. 428(6979), pages 128-129, March.
    2. Ball, Brian & Newman, M.E.J., 2013. "Friendship networks and social status," Network Science, Cambridge University Press, vol. 1(1), pages 16-30, April.
    3. Ciro Cattuto & Wouter Van den Broeck & Alain Barrat & Vittoria Colizza & Jean-François Pinton & Alessandro Vespignani, 2010. "Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-9, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gregory, Steve, 2012. "Ordered community structure in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2752-2763.
    2. De Martino, Giuseppe & Spina, Serena, 2015. "Exploiting the time-dynamics of news diffusion on the Internet through a generalized Susceptible–Infected model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 634-644.
    3. Kobayashi, Teruyoshi & Takaguchi, Taro, 2018. "Identifying relationship lending in the interbank market: A network approach," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 20-36.
    4. Roman M Wittig & Christophe Boesch, 2010. "Receiving Post-Conflict Affiliation from the Enemy's Friend Reconciles Former Opponents," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-10, November.
    5. Fabio Caccioli & Paolo Barucca & Teruyoshi Kobayashi, 2018. "Network models of financial systemic risk: a review," Journal of Computational Social Science, Springer, vol. 1(1), pages 81-114, January.
    6. Ghahramani, Ali & Pantelic, Jovan & Lindberg, Casey & Mehl, Matthias & Srinivasan, Karthik & Gilligan, Brian & Arens, Edward, 2018. "Learning occupants’ workplace interactions from wearable and stationary ambient sensing systems," Applied Energy, Elsevier, vol. 230(C), pages 42-51.
    7. Mark Kibanov & Raphael H. Heiberger & Simone Rödder & Martin Atzmueller & Gerd Stumme, 2019. "Social studies of scholarly life with sensor-based ethnographic observations," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1387-1428, June.
    8. Orman, Cuneyt & Goksel, Turkmen & Gurdal, Mehmet Y, 2011. "The Baby Boom, Baby Busts, and Grandmothers," MPRA Paper 28782, University Library of Munich, Germany.
    9. Masoud Shakiba & Azam Zavvari & Nader Aleebrahim & Mandeep Jit Singh, 2016. "Evaluating the academic trend of RFID technology based on SCI and SSCI publications from 2001 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 591-614, October.
    10. Laura Ozella & Francesco Gesualdo & Michele Tizzoni & Caterina Rizzo & Elisabetta Pandolfi & Ilaria Campagna & Alberto Eugenio Tozzi & Ciro Cattuto, 2018. "Close encounters between infants and household members measured through wearable proximity sensors," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-16, June.
    11. Massimo Riccaboni & Anna Romiti & Gianna Giudicati, 2011. "Co-experience Network Dynamics: Lessons from the Dance Floor," DISA Working Papers 2011/02, Department of Computer and Management Sciences, University of Trento, Italy, revised 28 Mar 2011.
    12. Barmak, D.H. & Dorso, C.O. & Otero, M., 2016. "Modelling dengue epidemic spreading with human mobility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 129-140.
    13. Stark, Oded, 2021. "Menopause as a regulatory device for matching the demand for children with its supply: A hypothesis," Economics & Human Biology, Elsevier, vol. 42(C).
    14. repec:zbw:bofitp:2020_018 is not listed on IDEAS
    15. Hao Dong & Satomi Kurosu, 2017. "Postmarital residence and child sex selection: Evidence from northeastern Japan, 1716–1870," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(43), pages 1383-1412.
    16. Lorenzo Dall’Amico & Alain Barrat & Ciro Cattuto, 2024. "An embedding-based distance for temporal graphs," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    17. Schünemann, Johannes & Strulik, Holger & Trimborn, Timo, 2017. "Going from bad to worse: Adaptation to poor health health spending, longevity, and the value of life," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 130-146.
    18. Teruyoshi Kobayashi & Taro Takaguchi, 2017. "Significant ties: Identifying relationship lending in temporal interbank networks," Discussion Papers 1717, Graduate School of Economics, Kobe University.
    19. José F. Fontanari, 2023. "Stochastic Simulations of Casual Groups," Mathematics, MDPI, vol. 11(9), pages 1-16, May.
    20. Małgorzata J Krawczyk & Krzysztof Kułakowski & Janusz A Hołyst, 2018. "Hierarchical partitions of social networks between rivaling leaders," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-13, March.
    21. Matthew Baggetta & Brad R. Fulton & Zoe Caplan, 2022. "Space and Interaction in Civil Society Organizations: An Exploratory Study in a US City," Social Inclusion, Cogitatio Press, vol. 10(3), pages 307-318.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcsosc:v:3:y:2020:i:1:d:10.1007_s42001-019-00054-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.