Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework

被引:0
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作者
Loredana Bellantuono
Alfonso Monaco
Nicola Amoroso
Vincenzo Aquaro
Angela Lombardi
Sabina Tangaro
Roberto Bellotti
机构
[1] Università degli studi di Bari Aldo Moro,Dipartimento di Scienze Mediche di Base, Neuroscienze e Organi di Senso
[2] Istituto Nazionale di Fisica Nucleare,Dipartimento di Farmacia
[3] Sezione di Bari, Scienze del Farmaco
[4] Università degli studi di Bari Aldo Moro,Division for Public Institutions and Digital Government
[5] United Nations Department of Economic and Social Affairs (DESA),Dipartimento Interateneo di Fisica
[6] Università degli studi di Bari Aldo Moro,Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti
[7] Università degli studi di Bari Aldo Moro,undefined
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关键词
Complex networks; Sustainability; Sustainable development goals; Community detection; Natural language processing; Social networks; Multilayer networks;
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摘要
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.
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