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Crowd or Hubs: information diffusion patterns in online social networks in disasters
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References

  • 2018The spread of true and false news online8,787 cited
  • 2013Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior1,604 cited
  • 2015Social big data: Recent achievements and new challenges846 cited
  • 2015Processing Social Media Messages in Mass Emergency800 cited
  • 2009The Role of Hubs in the Adoption Process695 cited
  • 2012Using Social Media to Enhance Emergency Situation Awareness649 cited
  • 2016Rapid assessment of disaster damage using social media activity642 cited
  • 2019Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management437 cited
  • 2018CrisisMMD: Multimodal Twitter Datasets from Natural Disasters389 cited
  • 2020A Hybrid Machine Learning Pipeline for Automated Mapping of Events and Locations From Social Media in Disasters135 cited
  • 2015Think Local, Retweet Global129 cited
  • 2015A cross-hazard analysis of terse message retransmission on Twitter107 cited
  • 2015What it Takes to Get Passed On: Message Content, Style, and Structure as Predictors of Retransmission in the Boston Marathon Bombing Response84 cited
  • 2018CrisMap: a Big Data Crisis Mapping System Based on Damage Detection and Geoparsing74 cited

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2019
A graph-based method for social sensing of infrastructure disruptions in disasters
69 cited
  • 2021Catching Fire via "Likes": Inferring Topic Preferences of Trump Followers on Twitter36 cited
  • Cited by

    • 2021Health information diffusion on Twitter: The content and design of WHO tweets matter27 cited
    • 2020Predicting tweet impact using a novel evidential reasoning prediction method23 cited
    • 2021Revealing Unfairness in social media contributors’ attention to vulnerable urban areas during disasters15 cited
    • 2024Temporal patterns and life cycle dynamics of social media user activity during disasters: A data-driven approach for effective crisis communication11 cited
    • 2021Characterizing Partisan Political Narratives about COVID-19 on Twitter1 cited