Temporal information retrieval has been a topic of great interest in recent years. Its purpose
is to improve the effectiveness of information retrieval methods by exploiting temporal …

Early prediction of seasonal epidemics such as influenza may reduce their impact in daily
lives. Nowadays, the web can be used for surveillance of diseases. Search engines and …

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 …

The proliferation of social networking services has resulted in a rapid growth of their user
base, spanning across the world. The collective information generated from these online …

Use of socially generated “big data” to access information about collective states of the
minds in human societies has become a new paradigm in the emerging field of …

We present a novel topic modelling-based methodology to track emerging events in
microblogs such as Twitter. Our topic model has an in-built update mechanism based on …

Infectious disease is a leading threat to public health, economic stability, and other key
social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring …

Social network has gained remarkable attention in the last decade. Accessing social
network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the …

The increasing popularity of social media services has led to more and more people using
Twitter. There are millions of tweets with a high amount of noisy data that propagate daily on …

Event detection is a research area that attracted attention during the last years due to the
widespread availability of social media data. The problem of event detection has been …