Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …

Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …

Massive amounts of fake news and conspiratorial content have spread over social media
before and after the 2016 US Presidential Elections despite intense fact-checking efforts …

Resilient city construction requires cities to be able to cope with and resist disasters on their
own. With the advent and explosive growth of social media such as microblogs, citizens …

Applying a novel approach based on the fusion of social media data, land use data and
other information, this paper examines the spatio-temporal patterns of public responses …

Modeling and predicting human dynamic behaviors in the face of stress and uncertainty can
help understand and prevent potential irrational behavior, such as panic buying or …

Natural disasters are public emergencies characterized by suddenness, universality, and
nonconventionality. Realizing the early warning, monitoring, and intervention of natural …

Capturing human movement patterns across political borders is difficult and this difficulty
highlights the need to investigate alternative data streams. With the advent of smart phones …

Twitter has been one of the most popular social network sites for academic research; the
main objective of this study was to update the current knowledge boundary surrounding …

The objective of this study is to model and analyze inter-organizational communication
networks on social media to characterize the roles of organizations and situational …