A Community Perspective on Resilience Analytics: A Visual Analysis of Community Mood

Armando López-Cuevas, José Ramírez-Márquez, Gildardo Sanchez-Ante, Kash Barker

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Social networks are ubiquitous in everyday life. Although commonly analyzed from a perspective of individual interactions, social networks can provide insights about the collective behavior of a community. It has been shown that changes in the mood of social networks can be correlated to economic trends, public demonstrations, and political reactions, among others. In this work, we study community resilience in terms of the mood variations of the community. We have developed a method to characterize the mood steady-state of online social networks and to analyze how this steady-state is affected under certain perturbations or events that affect a community. We applied this method to study community behavior for three real social network situations, with promising results.

Original languageEnglish
Pages (from-to)1566-1579
Number of pages14
JournalRisk Analysis
Volume37
Issue number8
DOIs
StatePublished - Aug 2017

Keywords

  • Mood
  • Paris attacks
  • Twitter
  • social networks
  • steady-state

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