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相关论文: Collective Dynamics of Hierarchical Networks

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We present longitudinal analysis of the evolution of inter-organizational disaster coordination networks during natural disasters. We suggest that social networks are a useful paradigm for exploring this complex phenomenon from both…

社会与信息网络 · 计算机科学 2015-03-31 Alireza Abbasi , Liaquat Hossain , Naim Kapucu

Recently, the world has witnessed the increasing occurrence of disasters, some of natural origin and others caused by man. The intensity of the phenomenon that cause such disasters, the frequency in which they occur, the number of people…

网络与互联网体系结构 · 计算机科学 2011-09-06 Rama Murthy Garimella , Samdarshi Abhijeet , Deepti Singhal

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…

社会与信息网络 · 计算机科学 2025-02-27 Chia-Fu Liu , Ali Mostafavi

Individual and community psychology plays an important role in disaster management as human behavior exhibit diverse risk perceptions, recognition of the threats that exists, positive and negative emotions, panic, anger, rumor, stress and…

物理与社会 · 物理学 2023-01-19 Liaquat Hossain

Disasters instances have been increasing both in frequency and intensity causing the tragic loss of life and making life harder for the survivors. Disaster relief management plays a crucial role in enhancing the lifestyle of disaster…

社会与信息网络 · 计算机科学 2024-06-18 Bhupesh Kumar Mishra , Keshav Dahal

In this paper, we explore the formation of network relationships among disaster relief agencies during the process of responding to an unexpected event. The relationship is investigated through variables derived from the policy network…

社会与信息网络 · 计算机科学 2013-12-16 Kwang Deok Kim , Liaquat Hossain

Online social networks are increasingly being utilized for collective sense making and information processing in disasters. However, the underlying mechanisms that shape the dynamics of collective intelligence in online social networks…

社会与信息网络 · 计算机科学 2024-12-24 Chao Fan , Fangsheng Wu , Ali Mostafavi

The success of a disaster relief and response process is largely dependent on timely and accurate information regarding the status of the disaster, the surrounding environment, and the affected people. This information is primarily provided…

社会与信息网络 · 计算机科学 2017-09-11 Tahora H. Nazer , Guoliang Xue , Yusheng Ji , Huan Liu

Managing complex disaster risks requires interdisciplinary efforts. Breaking down silos between law, social sciences, and natural sciences is critical for all processes of disaster risk reduction. This enables adaptive systems for the rapid…

Social media has emerged as a valuable resource for disaster management, revolutionizing the way emergency response and recovery efforts are conducted during natural disasters. This review paper aims to provide a comprehensive analysis of…

社会与信息网络 · 计算机科学 2025-06-10 Mohammadsepehr Karimiziarani

Social media are more than just a one-way communication channel. Data can be collected, analyzed and contextualized to support disaster risk management. However, disaster management agencies typically use such added-value information to…

社会与信息网络 · 计算机科学 2018-02-09 Markus Enenkel , Sofia Martinez Saenz , Denyse S. Dookie , Lisette Braman , Nick Obradovich , Yury Kryvasheyeu

Over the last two decades, network science has greatly advanced our understanding of how the collective behaviors of a complex system emerge from the interactions among its basic units. Multiplex networks, i.e. networks with many layers,…

Disaster events often unfold rapidly, necessitating a swift and effective response. Developing action plans, resource allocation, and resolution of help requests in disaster scenarios is time-consuming and complex since disaster-relevant…

计算机与社会 · 计算机科学 2024-09-04 Samia Abid , Bhupesh Kumar Mishra , Dhavalkumar Thakker , Nishikant Mishra

More than half of the world's population now lives in urban environments, which concentrate services and infrastructure to satisfy the material needs of a growing number of inhabitants. The interdependencies between physical infrastructure…

物理与社会 · 物理学 2025-02-11 Ariel Favier , Christine Hedde-von Westernhagen , Meghan Krieg , Bhaskar Kumawat

Future societal systems will be characterized by heterogeneous human behaviors and also collective action. The interaction between local systems and global systems will be complex. Humandemics will propagate because of the pathways that…

计算机与社会 · 计算机科学 2021-04-08 David Pastor-Escuredo , Philip Treleaven

Multimedia content in social media platforms provides significant information during disaster events. The types of information shared include reports of injured or deceased people, infrastructure damage, and missing or found people, among…

计算机视觉与模式识别 · 计算机科学 2020-04-27 Ferda Ofli , Firoj Alam , Muhammad Imran

Social media has become an essential channel for posting disaster-related information, which provide governments and relief agencies real-time data for better disaster management. However, research in this field has not received sufficient…

社会与信息网络 · 计算机科学 2021-07-13 Zhijie Sasha Dong , Lingyu Meng , Lauren Christenson , Lawrence Fulton

Hierarchy is one of the most conspicuous features of numerous natural, technological and social systems. The underlying structures are typically complex and their most relevant organizational principle is the ordering of the ties among the…

物理与社会 · 物理学 2014-03-05 Tamás Nepusz , Tamás Vicsek

As climate change intensifies, the urgency for accurate global-scale disaster predictions grows. This research presents a novel multimodal disaster prediction framework, combining weather statistics, satellite imagery, and textual insights.…

机器学习 · 计算机科学 2023-10-02 Gengyin Liu , Huaiyang Zhong

Social media platforms such as Twitter, Facebook etc can be utilised as an important source of information during disaster events. This information can be used for disaster response and crisis management if processed accurately and quickly.…

机器学习 · 计算机科学 2021-07-02 Aman Priyanshu , Mudit Sinha , Shreyans Mehta
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