Sustainability transformations research increasingly recognizes the importance of local actors and their networks to foster fundamental societal change. Local actors have different types of relations between each other (e.g., sharing material resources, giving advice) through which they jointly intervene in different system characteristics. We conducted social network analyses of 32 non-governmental organizations (NGOs) who drive initiatives to foster sustainability in Southern Transylvania, Romania. In so doing, we applied a leverage points perspective by differentiating between relations according to the system characteristic they address, such as the parameters, feedbacks, design and intent of the system. Additionally, we tested for differences of centrality metrics (i.e., weighted degree, betweenness, eigenvector) from NGOs that conduct different actions (i.e., amplification processes) to increase the impact of their sustainability initiatives. Our results reveal several NGOs that have central positions in their networks for intervening in both shallower (i.e., parameters and feedbacks) and deeper (i.e., design and intent of a system) system characteristics. We also identified NGOs that are only central for intervening in specific system characteristics. In addition, we found that specific groups of amplification processes (i.e., amplifying within and out) are associated with the NGOs’ positions in the parameters, feedbacks, and design networks. We conclude that the leverage points perspective in social network analysis has the potential to identify key actors and shed light on the attributes of local actors for intervening in shallower and deeper system characteristics to foster sustainability transformations.

可持续性转型研究越来越认识到地方行为者及其网络对于促进基本社会变革的重要性。地方参与者之间具有不同类型的关系（例如，共享物质资源，提供建议），通过它们他们共同干预不同的系统特征。我们对32个非政府组织（NGO）进行了社交网络分析，这些组织推动了旨在促进罗马尼亚特兰西瓦尼亚南部可持续发展的倡议。在此过程中，我们通过根据关系点所针对的系统特征（例如参数，反馈，系统的设计和意图）来区分关系，从而应用了杠杆点观点。此外，我们测试了中心度指标（即加权程度，中间性，非政府组织的特征向量），它们会采取不同的行动（即扩大过程）来增加其可持续性计划的影响。我们的结果表明，一些非政府组织在其网络中处于中心位置，可以干预较浅的（即参数和反馈）和较深的（即系统的设计和意图）系统特征。我们还确定了非政府组织，它们仅是干预特定系统特征的中心。此外，我们发现特定的扩增过程组（即 我们还确定了非政府组织，它们仅是干预特定系统特征的中心。此外，我们发现特定的扩增过程组（即 我们还确定了非政府组织，它们仅是干预特定系统特征的中心。此外，我们发现特定的扩增过程组（即放大和缩小）与NGO在参数，反馈和设计网络中的位置相关。我们得出的结论是，社交网络分析中的杠杆点观点有潜力识别关键参与者，并阐明本地参与者的属性，以干预更浅和更深的系统特征以促进可持续性转型。