Web 2.0 users generate and spread huge amounts of messages in online social media.
Such user-generated contents are mixture of temporal topics (eg, breaking events) and …

Web 2.0 has brought many collaborative and novel applications which transformed the web
as a medium and resulted in its exponential growth. Tagging systems are one of these killer …

Event detection over microblogs has attracted great research interest due to its wide
application in crisis management and decision making etc. In natural disasters, complex …

Researchers or students entering a emerging research area are particularly interested in
what newly published papers will be most cited and which young researchers will become …

Collaborative tagging have emerged as a ubiquitous way to annotate and organize online
resources. As a kind of descriptive keyword, large amount of tags are created and …

Scientific literature ranking is essential to help researchers find valuable publications from a
large literature collection. Recently, with the prevalence of webpage ranking algorithms such …

Burst detection is an important topic in temporal stream analysis. Usually, only the textual
features are used in burst detection. In the theme extraction from current prevailing social …

Empirical studies and theoretical models both highlight burstinessas a common temporal
pattern in online behavior. A key driver for burstiness is the self-exciting nature of online …

A computer system stores digital media content such as images and video along with
associated tags and time stamps. The system detects trends in the media content by …

Web 2.0 brought many collaborative and novel applications which transformed the web as
medium and resulted in exponential growth of the web. Tagging systems are one of these …