Abstract
AbstractAs 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 contacts. We collected data of proximities among residents in a Japanese farming community for 7 months using wearable devices which detect other devices nearby via Bluetooth communication. We performed non-negative matrix factorization (NMF) on the proximity log sequences and extracted five latent subnetworks. One of the subnetworks represented social relations regarding farming activities, and another subnetwork captured the patterns of social contacts taking place in a community hall, which played the role of a “hub” of diverse residents within the community. We also found that the eigenvector centrality score in the farming-related network was positively associated with self-reported pro-community attitude, while the centrality score regarding the community hall was associated with increased self-reported health.
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference44 articles.
1. Abdel-Khalek, A. M. (2006). Measuring happiness with a single-item scale. Social Behavior and Personality: An International Journal, 34(2), 139–150.
2. Asch, S. E. (1951). Effects of group pressure upon the modification and distortion of judgments. In H. S. Guetzkow (Ed.), Groups, leadership and men; research in human relations (pp. 177–190). Carnegie Press.
3. Bernard, H. R., & Killworth, P. D. (1977). Informant accuracy in social network data ii. Human Communication Research, 4(1), 3–18.
4. Bernard, H. R., Killworth, P. D., & Sailer, L. (1979). Informant accuracy in social network data iv: A comparison of clique-level structure in behavioral and cognitive network data. Social Networks, 2(3), 191–218.
5. Boissevain, J. (1974). Friends of friends: Networks, manipulators and coalitions. Blackwell.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献