It takes a village to raise a scientist: Social network predictors of satisfaction for academic trainees in Canada

ABSTRACT Graduate students and postdoctoral researchers (trainees) rely on social resources within their academic networks to progress through their careers. How these resources are distributed and foster research productivity and trainee satisfaction remains unclear. We surveyed 93 trainees from three Canadian universities using personal social network analysis to investigate how satisfaction measures were associated with reported technical and emotional support, reciprocity, and perceived closeness and relationship difficulty. Bayesian regression models and structural equation modeling identified strong positive predictors of current experience satisfaction, including academic support satisfaction, personal research productivity, and financial support. Higher numbers of emotionally supportive alters (network members) and fewer “difficult” network members were also associated with satisfaction. Technical support had higher odds of coming from a distributed network of faculty and staff, while emotional support often came from peers, although postdocs and supervisors provided both. Postdoctoral researchers were uniquely important, providing both technical and emotional reciprocity while occupying central network positions. Career stage effects were evident: More senior trainees increasingly offered technical and emotional support, although the latter effect was uncertain. Taken together, trainees drew on diverse network members for support, and affective ties—particularly emotional support and low interpersonal difficulty—appeared to contribute meaningfully to trainee development and satisfaction.