Embracing human noise as resilience indicator: twitter as power grid correlate

Nicolas LaLone, Andrea Tapia, Christopher Zobel, Cornelia Caraega, Venkata Kishore Neppalli, Shane Halse

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


There are typically two approaches for measuring disaster resilience: technically dynamic measures produced by sensors attached to physical objects and socially static metrics that engage demographic indicators within a given geographic location. Although these approaches allow resilience to be represented before and after disruption, it can be difficult to measure resilient behavior during an event. We propose that social media data can be used to nowcast the ongoing state of critical infrastructure during a disaster. Through an analysis of tweets made during Hurricane Sandy and power outage data obtained after the event, we find that tweets that mention power, utility, or electricity were correlated with loss of power. We conclude with a discussion of barriers to realizing this concept.

Original languageEnglish (US)
Pages (from-to)169-178
Number of pages10
JournalSustainable and Resilient Infrastructure
Issue number4
StatePublished - Oct 2 2017

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Building and Construction
  • Safety, Risk, Reliability and Quality


Dive into the research topics of 'Embracing human noise as resilience indicator: twitter as power grid correlate'. Together they form a unique fingerprint.

Cite this