The diffusion of cooperation among diverse stakeholders in large-scale systems is crucial for achieving socially optimal outcomes. This paper presents a novel framework for modeling how cooperation emerges and diffuses in the management of urban water and reclaimed wastewater resources, particularly in contexts where rivers and groundwater face significant risks from competing stakeholder interests, industrial pollution, and rapid urbanization. The first step toward sustainable management involves identifying stakeholders, their objectives, influence, and roles within the system, alongside analyzing their social network. The paper seeks to develop a cooperation diffusion model by evaluating how stakeholders influence one another's performance. To achieve this goal, the proposed approach combines social network analysis, stakeholder analysis, and social learning assessment. A physical model is used to evaluate water quality and quantity, while a multi-agent model simulates stakeholder behavior and decision-making. Using a linear threshold model (LTM), the cooperation diffusion process is structured and evaluated. The methodology is implemented in the Kan River Basin, which is located in the western region of the Tehran metropolitan area in Iran. The results indicate that promoting cooperation significantly boosts system performance by aligning stakeholder goals and enhancing social benefits. On average, the aquifer level rises by 30 %, whereas the average nitrate concentration decreases by approximately 50 %. These findings underscore the importance of fostering collaboration in the management of complex water resources systems. From a policy perspective, the results suggest that coupling technical interventions such as wastewater reuse with participatory reforms and stronger stakeholder engagement mechanisms is essential for sustainable outcomes. Moreover, empowering bridging actors and formalizing participatory forums can strengthen cooperation and foster long-term social acceptance of water governance strategies.
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