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Egocentric social networks and social interactions in the Greater Tokyo Area

  • Giancarlos ParadyEmail author
  • Kiyoshi Takami
  • Noboru Harata
Article

Abstract

This article presents the results of a survey on egocentric social networks in the Greater Tokyo Area. This is, together with our preliminary study, the first study on egocentric social network in Japan that uses an unrestricted name generator to elicit personal networks. It is comparable to previous work conducted in Europe (Switzerland and The Netherlands) and The Americas (Canada and Chile). In addition to a thorough description of the survey design and execution process, basic results regarding network characteristics and social interaction patterns, and estimation results of a multilevel multivariate mixed effect model of social contact frequency by mode are presented and compared against relevant benchmark data. The information provided in this article and the supplementary documents will allow its use as a new benchmark study in the subject of social networks and social interactions research.

Keywords

Ego-centric social networks Personal networks Social interactions Contact frequency by mode Japan 

Notes

Acknowledgments

This study was funded by JSPS Grant-in-Aid, Grant 17K14737. The authors would like to thank Mr. Yuki Tamura, Mr. Ryo Sakuramoto, Mr. Masahiro Araki and Mr. Yo Kamijo for their help in tabulating the paper-based responses of the survey.

Authors’ contribution

GP conceived the study, built the web-survey interface, processed the results, conducted the data analysis and wrote the first article draft. GP, KT and NH designed and tested the survey instrument, provided comments and revisions to the drafts and approved the final version.

Compliance with ethical standards

Conflict of interest

The authors have no conflict of interests to declare.

Supplementary material

11116_2020_10079_MOESM1_ESM.pdf (1.1 mb)
Supplementary material 1 (PDF 1115 kb)

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2020

Authors and Affiliations

  1. 1.Department of Urban EngineeringThe University of TokyoTokyoJapan

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