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This paper presents the preliminary findings from an exploratory case study of Ontario's School Mental Health ASSIST program. Using social network theory and analysis tools, it reports the findings from social network survey data, focusing on relationships that support district leaders' ability to find, understand, share and apply research knowledge in developing evidence-based student mental health policy at the district level. Findings were derived from standard network measurements at the complete and egocentric network levels, including tie strength, density, centrality and brokerage. The findings suggest how structural features of social networks might influence individual access to social resources that may facilitate/constrain knowledge mobilization in support of evidence-based policy-making that aims to improve student experiences within schools and school systems.