Extracting multiple layers of social networks through a 7-month survey using a wearable device: a case study from a farming community in Japan.

ABSTRACT: As individuals are susceptible to social influences from those to whom they are connected, structures of social networks have been an important research subject in social sciences. However, quantifying these structures in real life has been comparatively more difficult. One reason is data collection methods-how to assess elusive social contacts (e.g., unintended brief contacts in a coffee room); however, recent studies have overcome this difficulty using wearable devices. Another reason relates to the multi-layered nature of social relations-individuals are often embedded in multiple networks that are overlapping and complicatedly interwoven. A novel method to disentangle such complexity is needed. Here, we propose a new method to detect multiple latent subnetworks behind interpersonal con

SUBMITTER: Komori M 

PROVIDER: S-EPMC8908302 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature