2017
DOI: 10.1007/s13753-017-0146-5
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Towards Quantitatively Understanding the Complexity of Social-Ecological Systems—From Connection to Consilience

Abstract: The complexity of social-ecological systems (SES) is rooted in the outcomes of node activities connected by network topology. Thus far, in network dynamics research, the connectivity degree (CND), indicating how many nodes are connected to a given node, has been the dominant concept. However, connectivity focuses only on network topology, neglecting the crucial relation to node activities, and thereby leaving system outcomes largely unexplained. Inspired by the phenomenon of ''consensus of wills and coordinati… Show more

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Cited by 8 publications
(20 citation statements)
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“…Consilience is closely related to the vulnerability, resilience, and adaptability of disaster systems . Consilience can be computed by using consilience degree (Hu et al 2017). Simulation experiments have shown that a higher consilience degree indicates a greater capability to resist external shocks.…”
Section: Integrated Disaster Risk Governance Paradigmsmentioning
confidence: 99%
See 4 more Smart Citations
“…Consilience is closely related to the vulnerability, resilience, and adaptability of disaster systems . Consilience can be computed by using consilience degree (Hu et al 2017). Simulation experiments have shown that a higher consilience degree indicates a greater capability to resist external shocks.…”
Section: Integrated Disaster Risk Governance Paradigmsmentioning
confidence: 99%
“…The globalization process has further highlighted the regional, interconnective, coupled, and complex features of disaster systems. The system dynamics and non-dynamics of disaster systems not only reveal the “node degree” behavior of their elements, but also their “consilience” behavior (Hu et al 2017 ). The consilience of disaster systems can reflect the differences of regional disaster systems not only in their mechanisms and processes, but also the integrated features of their structures and functions.…”
Section: Frontiers In the Disaster Risk Science Researchmentioning
confidence: 99%
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