Network dynamics of community resilience and recovery: new frontier in disaster research

Fuente: arXiv
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Autori principali: Liu, Chia-Fu, Mostafavi, Ali
Natura: Preprint
Pubblicazione: 2025
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author Liu, Chia-Fu
Mostafavi, Ali
author_facet Liu, Chia-Fu
Mostafavi, Ali
contents Disasters impact communities through interconnected social, spatial, and physical networks. Analyzing network dynamics is crucial for understanding resilience and recovery. We highlight six studies demonstrating how hazards and recovery processes spread through these networks, revealing key phenomena, such as flood exposure, emergent social cohesion, and critical recovery multipliers. This network-centric approach can uncover vulnerabilities, inform interventions, and advance equitable resilience strategies in the face of escalating risks.
format Preprint
id arxiv_https___arxiv_org_abs_2502_18730
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Network dynamics of community resilience and recovery: new frontier in disaster research
Liu, Chia-Fu
Mostafavi, Ali
Social and Information Networks
Physics and Society
Disasters impact communities through interconnected social, spatial, and physical networks. Analyzing network dynamics is crucial for understanding resilience and recovery. We highlight six studies demonstrating how hazards and recovery processes spread through these networks, revealing key phenomena, such as flood exposure, emergent social cohesion, and critical recovery multipliers. This network-centric approach can uncover vulnerabilities, inform interventions, and advance equitable resilience strategies in the face of escalating risks.
title Network dynamics of community resilience and recovery: new frontier in disaster research
topic Social and Information Networks
Physics and Society
url https://arxiv.org/abs/2502.18730