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 …

During the last ten years, a large body of research extracting and analysing geographic data
from social media has developed. We analyse 690 papers across 20 social media platforms …

Understanding urban functions and their relationships with human activities has great
implications for smart and sustainable urban development. In this study, we present a novel …

Characterizing human mobility patterns is essential for understanding human behaviors and
the interactions with socioeconomic and natural environment, and plays a critical role in …

Individual activity patterns are influenced by a wide variety of factors. The more important
ones include socioeconomic status (SES) and urban spatial structure. While most previous …

Twitter is recently being used during crises to communicate with officials and provide rescue
and relief operation in real time. The geographical location information of the event, as well …

Understanding human mobility is significant in many fields, such as geography,
transportation, and sociology. Due to the wide spatiotemporal coverage and low operational …

Forecasting political elections has attracted a lot of attention. Traditional election forecasting
models in political science generally take preference in poll surveys and economic growth at …

Social media has been widely used for emergency communication both in disaster-affected
areas and unaffected areas. Comparing emotional reaction and information propagation …

While recent studies have started to measure the experienced racial-ethnic segregation
across activity space (beyond “residential” segregation), insufficient efforts have been …