TY - JOUR
T1 - Hormones, behavior, and social network analysis
T2 - Exploring associations between cortisol, testosterone, and network structure
AU - Kornienko, Olga
AU - Clemans, Katherine H.
AU - Out, Dorothée
AU - Granger, Douglas A.
N1 - Funding Information:
OK was supported in part by funds from the T. Denny Sanford School of Social and Family Dynamics at Arizona State University as part of the Lives of Girls and Boys Research Enterprise ( http://lives.clas.asu.edu/ ). KHC was supported in part by a grant from the National Institute of Mental Health (T- 32MH018834 to Nicholas S. Ialongo, PI). DO was supported by a Rubicon award ( 446-10-026 ) from the Netherlands Organization for Scientific Research . In the interest of full disclosure, DAG is founder and Chief Strategy and Scientific Advisor at Salimetrics LLC (Carlsbad, CA) and the nature of this relationship is managed by the policies of the committees on conflict of interest at Johns Hopkins University School of Medicine and the Office of Research Integrity and Assurance at Arizona State University. We thank Dr. David R. Schaefer, the editor, and two anonymous reviewers for their constructive comments. Special thanks to Tracy Hand and Jessica Bayer for technical support with salivary immunoassays, and Amber Pinkard for assistance with data collection.
PY - 2014/8
Y1 - 2014/8
N2 - We used a new interdisciplinary paradigm of social network analysis (SNA) to investigate associations between hormones and social network structures. We examine these biobehavioral processes and test hypotheses about how hormones are associated with social network structures using exponential random graph modeling (ERGM) in a cohort of first-year students (n= 74; 93% fema≤ M age. = 27. years) from a highly competitive, accelerated nursing program. Participants completed friendship nominations and as a group simultaneously donated saliva (later assayed for cortisol and testosterone). ERGM analyses revealed that salivary cortisol levels were inversely associated with the number of outgoing ties (i.e., network activity). By contrast, testosterone was not related to friendship network structure. Integration of SNA and salivary bioscience creates a novel approach to understanding hormone-behavior relationships within the context of human social ecologies.
AB - We used a new interdisciplinary paradigm of social network analysis (SNA) to investigate associations between hormones and social network structures. We examine these biobehavioral processes and test hypotheses about how hormones are associated with social network structures using exponential random graph modeling (ERGM) in a cohort of first-year students (n= 74; 93% fema≤ M age. = 27. years) from a highly competitive, accelerated nursing program. Participants completed friendship nominations and as a group simultaneously donated saliva (later assayed for cortisol and testosterone). ERGM analyses revealed that salivary cortisol levels were inversely associated with the number of outgoing ties (i.e., network activity). By contrast, testosterone was not related to friendship network structure. Integration of SNA and salivary bioscience creates a novel approach to understanding hormone-behavior relationships within the context of human social ecologies.
KW - Exponential random graph modeling
KW - Salivary cortisol
KW - Salivary testosterone
KW - Social network analysis
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U2 - 10.1016/j.yhbeh.2014.07.009
DO - 10.1016/j.yhbeh.2014.07.009
M3 - Article
C2 - 25072982
AN - SCOPUS:84905648331
VL - 66
SP - 534
EP - 544
JO - Hormones and Behavior
JF - Hormones and Behavior
SN - 0018-506X
IS - 3
ER -