Document Type : Research Paper


1 Ph.D. Candidate, Department of Environmental Science, Faculty of Natural Resources and Environment, Malayer University, Malayer, and Faculty member of Khatam Al-Anbia University of Technology, Behbahan, Iran

2 Associate Professor of Reviving Arid & Mountainous Regions, University of Tehran, Karaj, Iran

3 Assistant Professor of Environmental Assessment, Faculty of Natural and Environmental Sciences, Malayer University, Malayer, Iran


Sustainable land management requires the identification of key land use planning actors. Social network analysis is one of the best ways to identify important factors in Management change. In this study, to analyze the stakeholders related to participatory Management in the watershed of Anzali Wetland, the criteria and policy indicators at the level of the network of organizational stakeholders were done using the method of social network analysis . In this regard, 36 organizational stakeholders related to participatory land use management in Gilan province were studied and analyzed. In this research indices of density, size, Reciprocity, Transitivity, Centralization and Geodesic Distance in the network of relationships at the macro level and Core-peripheral index in the middle scale and centrality indicators at the micro (actors) scale of the network were examined. Based on the results ofmacro-level indicators, the density is moderate and according to the results of the Reciprocity and the moderate amount of Mutual relations among organizational stakeholders, the cohesion and organizational capital are also assessed as moderate. The resilience and balance of the information exchange network are also low due to the low transitivity index. The results of the core-periphery index analysis show a higher density of links and greater organizational cohesion among central organizations compared to the peripheral subgroup. Also, the amount of information exchange between central and peripheral subgroups was evaluated as moderate. Based on the results of centrality indices, the geometric position of each actor was determined according to the desired criteria in the network


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