Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 534-544 |
| Number of pages | 11 |
| Journal | Hormones and Behavior |
| Volume | 66 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2014 |
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Keywords
- Exponential random graph modeling
- Salivary cortisol
- Salivary testosterone
- Social network analysis
ASJC Scopus subject areas
- Endocrinology
- Behavioral Neuroscience
- Endocrine and Autonomic Systems
Cite this
Hormones, behavior, and social network analysis : Exploring associations between cortisol, testosterone, and network structure. / Kornienko, Olga; Clemans, Katherine H.; Out, Dorothée; Granger, Douglas A.
In: Hormones and Behavior, Vol. 66, No. 3, 2014, p. 534-544.Research output: Contribution to journal › Article
}
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.
PY - 2014
Y1 - 2014
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
UR - http://www.scopus.com/inward/record.url?scp=84905648331&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905648331&partnerID=8YFLogxK
U2 - 10.1016/j.yhbeh.2014.07.009
DO - 10.1016/j.yhbeh.2014.07.009
M3 - Article
VL - 66
SP - 534
EP - 544
JO - Hormones and Behavior
JF - Hormones and Behavior
SN - 0018-506X
IS - 3
ER -