In the non-profit space, donors are met with a conundrum: they only have so many dollars to give, but it feels like the spaces they want to help are competitive arenas. One such example would be the homeless services in Los Angeles. In these spaces, there are over 100 organizations that receive some funding from LAHSA, but potentially 1000's that operate in a grey space. These organizations face rigorous divides, based on type of support (food, shelter, mental health services, etc), as well as eligible recipients (based on age, background, location, etc). If we could map out what makes these entities tick, and what the natural progression of support might be for individuals going through this system, we could help visualize a more effective network approach to responding to public crises like homelessness. Nodes in these networks could be government agencies, LAHSA approved organizations, grey-area organizations, and even major non-gov donors. The edges would be shared priorities, geographies, and complementary services. This data could highlight where organizations might benefit by the creation of coalitions to streamline donor services and collaborate for the greater good. If this model could be proven out, it may be relevant to other markets and other public support models.