With the fast growth of smart devices and social networks, a lot of computing systems collect
data that record different types of activities. An important computational challenge is to …

In this paper we first exploit cash-tags (“$” followed by stocks' ticker symbols) in Twitter to
build a stock network, where nodes are stocks connected by edges when two stocks co …

With the inception of the Twitter microblogging platform in 2006, a myriad of research efforts
have emerged studying different aspects of the Twittersphere. Each study exploits its own …

The emergence of social media open a lot of research opportunity. Information from social
media could be used for many things, such as detecting event, predicting event, and even …

The way we refer to a place can often differ from official titles assigned by authorities,
especially when referenced in informal settings. This results in a collection of vernacular and …

Pervasive social systems often take advantage of geographical information to provide real-
time information to users based on their location. However, due to privacy concerns, many …

Location based social networks offer spatio-temporal information which can be accessed
through public Application Programming Interfaces (APIs) and drew the interest of …

Every year, thousands of disasters impact the world, generating substantial loss in terms of
lives and public infrastructure. The recovery phase requires substantial money investment …

Social networks provide a wealth of online sources about real-world events. Due to the large
volume of data in social streams, the event detection suffers from high computational …

The rise of social networking platforms like Twitter, Facebook, etc…, have provided
seamless sharing of information (as chat, video and other media) among its user community …