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Brief Reports

Clustering in a newly forming social network by subjective perceptions of loneliness

, MA, PhDcandidate, , PhDORCID Icon, , PhD & , PhD
Pages 1326-1331 | Received 25 Oct 2019, Accepted 31 Jul 2020, Published online: 02 Sep 2020
 

Abstract

Objectives: To determine whether first-year college students cluster in networks based on subjective perceptions of loneliness. Participants: 492 first-year Notre Dame students completed surveys across two semesters and provided communication data used to reconstruct their social networks. Methods: Subjective perceptions of loneliness are measured using the Social and Emotional Loneliness Scale for Adults (SELSA). Correlations between an individual’s loneliness and the average loneliness of their alters are compared to associations in random networks created using a rewiring algorithm to determine statistical significance. Results: During their first semester, students are more likely than chance to form ties with other students with similar levels of family and romantic loneliness. In their second semester, students cluster on romantic loneliness but not on family or social loneliness. Conclusions: Students are more likely than chance to form ties with people with similar self-perceived levels of loneliness, but only for certain types of loneliness and during certain periods.

Conflict of interest disclosure

The authors have no conflicts of interest to report. The authors confirm that the research presented in this article met the ethical guidelines, including adherence to the legal requirements, of [country name] and received approval from the [Institutional Review Board of university name].

Additional information

Funding

The research in this paper was funded by the National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health under award number R01HL117757. The content in the article is the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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