Abstract
Disaster Network Science: Research and Applications
Highlights
In an increasingly complex, mobile, and interconnected world, we face increasing threats of disasters, whether by chance or deliberately
Innovative approaches to information flow modeling and analysis for dealing with challenges of coordinating across multilayered agency structures and development of early warnings through social systems using social media analytics may be pivotal to timely response to global disasters
Public sources provide new ways to create timely warnings and prediction of global disasters, which can be achieved by creating a computational platform to capture community-based interactions data through the usage of social media (Ginsberg et al, 2009)
Summary
Mobile, and interconnected world, we face increasing threats of disasters, whether by chance or deliberately. Innovative approaches to information flow modeling and analysis for dealing with challenges of coordinating across multilayered agency structures and development of early warnings through social systems using social media analytics may be pivotal to timely response to global disasters. Public sources provide new ways to create timely warnings and prediction of global disasters (i.e., disease outbreaks detection through search query behavior), which can be achieved by creating a computational platform to capture community-based interactions data through the usage of social media (Ginsberg et al, 2009). Network science approach provides us with opportunity to develop complementary large-scale abstract modeling and individual and community meaning making to create more useful and sensitive disaster preparedness and response research
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