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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. [ABSTRACT FROM AUTHOR]

Objective To investigate what social, psychological, personality, and behavioral factors affect overtime heart rate changes of college students. Participants: The daily heart rates of over 600 undergraduates at the University of Notre Dame were unobtrusively recorded via Fitbit devices from August 16, 2015, to May 13, 2017. Method: Latent Growth-Curve modeling strategy is utilized to examine how daily mean heart rate and its standard deviation change over time, and what foregoing factors predict observed changes. Results: The mean heart rate increased and its standard deviation stayed the same over the 637 days. Heart rate levels go up with that of social contacts, an indicator of peer influence. Both daily heart rate levels and changes are also affected by multiple external factors. Conclusion: Human heart rate is not only a physiological phenomenon but also a social-psychological one, as it is systematically affected by peer networks, social contexts, and human activities. [ABSTRACT FROM AUTHOR]

This article examines how levels of social capital in a new urbanist community change over time. We collected demographic and social capital data in a new urbanist community in 2001 and then again in 2010. The findings indicate that this community experienced an overall decline in social capital over this nine-year period. Additionally, we found that while residents new to the community were less concerned with social capital than long-term residents in the community, the latter group had also declined significantly in their levels of social capital. Overall, the results suggest that planners of new urbanist and other intentional communities should consider the impact of changing demographics when designing new subdivisions. Most importantly, residents and community leaders need to consider alternative means by which social capital can be retained as new residents are integrated into established communities. [ABSTRACT FROM PUBLISHER]