software . 2017

Measuring and Monitoring Collective Attention during Shocking Events

Xingsheng He; Lin, Yu-Ru;
  • Published: 04 Dec 2017
  • Publisher: Figshare
<p><strong>Abstract</strong>&nbsp;(our paper)</p> <p>There has been growing interest in leveraging Web-based social and communication technologies for better crisis response. How might the Web platforms be used as an observatory to systematically understand the dynamics of the public&rsquo;s attention during disaster events? And how could we monitor such attention in a cost-effective way? In this work, we propose an &lsquo;attention shift network&rsquo; framework to systematically observe, measure, and analyze the dynamics of collective attention in response to real-world exogenous shocks such as disasters. Through tracing hashtags that appeared in Twitter users...
free text keywords: Biotechnology, Ecology, Sociology, Science Policy, 80699 Information Systems not elsewhere classified, dynamic, Monitoring Collective Attention, EPJ, cities New York City, sampling approach, disaster, network structures, Shocking Events Abstract, Lin Y R, user, data
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Software . 2017
Provider: Datacite
Software . 2017
Provider: Zenodo
Software . 2017
Provider: figshare
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