Copeland Molly, Kamis Christina, West Jessica S
Department of Sociology, Michigan State University, 509 E. Circle Drive, East Lansing, MI USA 48824.
Center for Demography of Health and Aging, University of Wisconsin-Madison, 1180 Observatory Drive, Madison, WI USA.
Soc Networks. 2023 Jul;74:216-223. doi: 10.1016/j.socnet.2023.04.005. Epub 2023 May 5.
Health status may shape network structure through network dynamics (tie formation and persistence) and direction (sent and received ties), net of typical network processes. We apply Separable Temporal Exponential Random Graph Models (STERGMs) to National Longitudinal Study of Adolescent to Adult Health survey data (n = 1,779) to differentiate how health status shapes network sent and received tie formation and persistence. Results indicate that networks are shaped by withdrawal of adolescents experiencing poor health, highlighting the importance of separating distinct and directed processes of friendship formation and persistence when considering how health relates to adolescent social life.
健康状况可能通过网络动态(关系形成和持续)以及方向(发出和收到的关系)塑造网络结构,排除典型的网络过程。我们将可分离时间指数随机图模型(STERGMs)应用于青少年到成人健康的全国纵向研究调查数据(n = 1,779),以区分健康状况如何塑造网络发出和收到的关系形成及持续情况。结果表明,网络是由健康状况不佳的青少年退出所塑造的,这凸显了在考虑健康与青少年社会生活的关系时,区分友谊形成和持续的不同且有方向的过程的重要性。