Identifying intervention points to increase the diversity of a research partnership for cancer equity: a descriptive social network analysis

Background Effective cancer prevention interventions are not equitably implemented, particularly in healthcare settings serving underserved populations. Engaging a diverse range of partners, especially those involved in frontline care, is critical for advancing equity-focused implementation. Research networks that include community-based providers can help co-create knowledge, strengthen collaboration, and drive system-level change. Purpose This study aims to assess the composition and structure of the Implementation Science Center for Cancer Control Equity (ISCCCE) partnership to identify opportunities for enhancing engagement, increasing diversity, and strengthening collaboration in cancer prevention research. Methods A descriptive social network analysis was conducted to examine the ISCCCE partnership and identify areas for enhanced engagement. Network demographics and characteristics were analyzed across collaboration-type subnetworks using the Implementation Science Centers for Cancer Control and ISCCCE network survey data. Results The baseline network consisted of 27 respondents, most in faculty roles (55%), with 15+ years of experience (48%). Most identified as non-Hispanic White (63%) and female (70%). The overall network density was 61%, with subnetwork densities ranging from 13% (scientific dissemination) to 55% (planning/conducting research). Centralization was moderate overall (0.3), with certain subnetworks more centralized. Conclusions The network demonstrated strong connectivity in research planning but weaker ties in dissemination and capacity building. To strengthen impact, efforts should focus on engaging trainees and partners more deeply, increasing demographic diversity, and fostering inclusive collaboration. These insights inform practice (e.g. strengthening FQHC partnerships), policy (e.g. funding diverse networks), and research (e.g. leveraging social network analysis to improve equity in implementation science).