Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

Social media platforms provide active communication channels during mass convergence
and emergency events such as disasters caused by natural hazards. As a result, first …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

Since an ever-increasing part of the population makes use of social media in their day-to-
day lives, social media data is being analysed in many different disciplines. The social …

Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

Twitter is among the fastest‐growing microblogging and online social networking services.
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …

Social networks have been recently employed as a source of information for event detection,
with particular reference to road traffic congestion and car accidents. In this paper, we …

Social media has quickly risen to prominence as a news source, yet lingering doubts remain
about its ability to spread rumor and misinformation. Systematically studying this …

Online social and news media generate rich and timely information about real-world events
of all kinds. However, the huge amount of data available, along with the breadth of the user …

Modeling concurrent events of multiple types and their involved actors from open-source
social sensors is an important task for many domains such as health care, disaster relief …