Bellantuono Loredana, Monaco Alfonso, Amoroso Nicola, Aquaro Vincenzo, Lombardi Angela, Tangaro Sabina, Bellotti Roberto
Dipartimento di Scienze Mediche di Base, Neuroscienze e Organi di Senso, Università degli studi di Bari Aldo Moro, 70126 Bari, Italy.
Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70125 Bari, Italy.
Appl Netw Sci. 2022;7(1):14. doi: 10.1007/s41109-022-00455-1. Epub 2022 Mar 14.
In this work we use a network-based approach to investigate the complex system of interactions among the 17 Sustainable Development Goals (SDGs), that constitute the structure of the United Nations 2030 Agenda for a sustainable future. We construct a three-layer multiplex, in which SDGs represent nodes, and their connections in each layer are determined by similarity definitions based on conceptualization, communication, and achievement, respectively. In each layer of the multiplex, we investigate the presence of nodes with high centrality, corresponding to strategic SDGs. We then compare the networks to establish whether and to which extent similar patterns emerge. Interestingly, we observe a significant relation between the SDG similarity patterns determined by their achievement and their communication and perception, revealed by social network data. The proposed framework represents an instrument to unveil new and nontrivial aspects of sustainability, laying the foundation of a decision support system to define and implement SDG achievement strategies.
在这项工作中，我们采用基于网络的方法来研究17个可持续发展目标（SDGs）之间复杂的相互作用系统，这些目标构成了联合国《2030年可持续发展议程》的结构。我们构建了一个三层多重网络，其中可持续发展目标代表节点，并且它们在每一层中的连接分别由基于概念化、沟通和成就的相似性定义来确定。在多重网络的每一层中，我们研究具有高中心性的节点的存在情况，这些节点对应于战略性的可持续发展目标。然后，我们比较这些网络，以确定是否出现以及在何种程度上出现相似的模式。有趣的是，我们观察到由社会网络数据揭示的，可持续发展目标基于其成就所确定的相似性模式与其沟通和认知之间存在显著关系。所提出的框架是一种揭示可持续性新的和重要方面的工具，为定义和实施可持续发展目标实现战略的决策支持系统奠定了基础。
