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

With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Social media messages posted by people during natural disasters often contain important
location descriptions, such as the locations of victims. Recent research has shown that many …

We present one of the first case studies demonstrating the use of distributed acoustic
sensing deployed on regional unlit fiber-optic telecommunication infrastructure (dark fiber) …

The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

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 …

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

In recent years, social media emerged as a potential resource to improve the management
of crisis situations such as disasters triggered by natural hazards. Although there is a …

This study investigates Twitter usage during Hurricane Sandy following the survey of the
general population and exploring communication dynamics on Twitter through different …

Citizens are increasingly becoming an important source of geographic information,
sometimes entering domains that had until recently been the exclusive realm of authoritative …