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| Efficient identification of
starters and followers in social media,
EDBT 2009 |
| Michael Mathioudakis, Nick Koudas |
| St. Petersburg, Russia |
Abstract:
Activity and user
engagement in social media such as web logs, wikis,
online forums or social networks has been
increasing at unprecedented rates. In relation to
social behavior in various human activities, user
activity in social media indicates the existence of
individuals that consistently drive or stimulate
`discussions' in the online world. Such individuals
are considered as `starters' of online discussions
in contrast with `followers' that primarily engage
in discussions and follow them.
In this paper, we formalize notions of `starters'
and `followers' in social media. Motivated by the
challenging size of the available information
related to online social behavior, we focus on the
development of random sampling approaches allowing
us to achieve significant efficiency while
identifying starters and followers. In our
experimental section we utilize BlogScope, our
social media warehousing platform under development
at the University of Toronto. We demonstrate the
scalability and accuracy of our sampling approaches
using real data establishing the practical utility
of our techniques in a real social media
warehousing environment. |
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More |
| | Complete list of papers available from the DBLP Bibliography 
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