ArticlePloS one2015
Performance of social network sensors during Hurricane Sandy.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 135 citations in OpenAlex.
- A social media driven model for evaluating coupled flood damage and resilience at a fine scale.Scientific reports · 2026Article
- Extracting public opinion on typhoon disasters in China: a sina weibo case study of landfalling typhoon Muifa (2022).Scientific reports · 2026Article
- "Is a game really a reason for people to die?" Sentiment and thematic analysis of Twitter-based discourse on Indonesia soccer stampede.AIMS public health · 2023Article
- A longitudinal study of topic classification on Twitter.PeerJ. Computer science · 2022Article
- Space-Time Dependence of Emotions on Twitter after a Natural Disaster.International journal of environmental research and public health · 2021Article
- Mining Social Media Data for Biomedical Signals and Health-Related Behavior.Annual review of biomedical data science · 2020Article
- Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data.PloS one · 2019Article
- Scaling laws in geo-located Twitter data.PloS one · 2019Article
- Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint.Journal of medical Internet research · 2018Article
- Public Response to Obamacare on Twitter.Journal of medical Internet research · 2017Article
- Leveraging Twitter to gauge evacuation compliance: Spatiotemporal analysis of Hurricane Matthew.PloS one · 2017Article
- Rapid assessment of disaster damage using social media activity.Science advances · 2016Article
- Tracking the Evolution of Infrastructure Systems and Mass Responses Using Publically Available Data.PloS one · 2016Article
- Tail-scope: Using friends to estimate heavy tails of degree distributions in large-scale complex networks.Scientific reports · 2015Article
- Twitter in the cross fire--the use of social media in the Westgate Mall terror attack in Kenya.PloS one · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow and derive early-warning sensors, thus improving emergency preparedness and response. Performance of the social networks sensor method, based on topological and behavioral properties derived from the "friendship paradox", is studied here for over 50 million Twitter messages posted before, during, and after Hurricane Sandy. We find that differences in users' network centrality effectively translate into moderate awareness advantage (up to 26 hours); and that geo-location of users within or outside of the hurricane-affected area plays a significant role in determining the scale of such an advantage. Emotional response appears to be universal regardless of the position in the network topology, and displays characteristic, easily detectable patterns, opening a possibility to implement a simple "sentiment sensing" technique that can detect and locate disasters.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.