Shifting Attention: Modeling Follower Relationship Dynamics Among Us Emergency Management-Related Organizations During a Colorado Wildfire

Zack W. Almquist, Emma S. Spiro, Carter T. Butts

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations

Abstract

Emergency management organizations rarely act in a vacuum-both governmental and nongovernmental organizations look to one another for topical information and practical guidance in both routine and nonroutine settings. Although such attentional relationships have been historically difficult to study, the expansion of organizational activities into the online domain provides an opportunity to directly measure who is attending to whom in some settings. One such setting is Twitter, a popular microblogging service with a large emergency management presence. Here, we employ a dynamic network logistic regression modeling approach to uncover the mechanisms that govern the evolving follower (i.e., subscription) relationships among a set of United States emergency management-related organizations (federal and state level) over an extended period during a Colorado wildfire. We relate features of the organizations' temporally evolving structural position within this social network to their public information exchange patterns demonstrating a fairly complex pattern of historical dependence in attentional ties.

Original languageEnglish (US)
Title of host publicationSocial Network Analysis of Disaster Response, Recovery, and Adaptation
PublisherElsevier Inc.
Pages93-112
Number of pages20
ISBN (Electronic)9780128052839
ISBN (Print)9780128051962
DOIs
StatePublished - Sep 15 2016

Keywords

  • Disasters
  • Dynamic network logistic regression (DNR)
  • Logistic regression
  • Organizations
  • Temporal exponential family random graph models
  • Temporal modeling
  • Twitter

Fingerprint Dive into the research topics of 'Shifting Attention: Modeling Follower Relationship Dynamics Among Us Emergency Management-Related Organizations During a Colorado Wildfire'. Together they form a unique fingerprint.

Cite this