WWW 2013 Workshop on
Real-Time Analysis and Mining of Social Streams (RAMSS)
+May 14th, 2013 – Rio de Janeiro, Brazil
CALL FOR PAPERS
2nd International Workshop on Real-Time Analysis and Mining of Social
in conjuntion with WWW 2013, the 22nd International World Wide Web
The emergence of social networking services such as Twitter, Google+,
and Facebook has led to new ways of sharing information with
interested communities. In the last years, there has been an
increasing trend in the use of social media services, not only by
end-users but also by all kinds of groups, organizations, and
governments. All these participants contribute with a bonanza of
real-time updates, building a hodgepodge composed of not only personal
updates but also valuable information. The ability to get real-time
information from others has enabled to follow events live, to discover
breaking news, to find out about trending topics, and to help on
natural disasters, among others. This presents new challenging issues
for the research community in order to quickly make sense of
torrential social streams as they come out, and to make the most from
the fresh knowledge available on these streams.
The RAMSS workshop aims to bring together experts in the real-time
analysis and mining of social streams, as well as to further develop
and exchange knowledge around these tasks. Given the novelty of the
research field, the workshop also aims to encourage attendees to build
a discussion forum to share on the current state of the research
field, as well as to propose solutions for the shortcomings.
Topics of interest
The workshop seeks contributions that analyze and mine social streams
as they become publicly available, and encourages experts and
interested attendees to take part. The workshop aims to be specific in
the real-time analysis and mining of social streams, but it is open to
a wide variety of tasks that can be applied to those streams. Topics
of interest include (but are not limited to):
– Real-time search in social streams.
– Summarization of social streams as it comes out.
– Early detection of trends, news, and events.
– Real-time recommendation of information, who to follow, etc.
– Real-time classification and clustering.
– Real-time social network analysis.
– Behavioral prediction.
– Real-time sentiment analysis and opinion mining.
– Real-time user modeling.
– Real-time natural language learning, processing and understanding.
– Semantic web approaches for real-time analysis of social streams.
We also welcome contributions discussing potential research
directions, evaluation frameworks, publicly available datasets and
case studies on industrial applications.
– Paper Submission Deadline: February 22, 2013.
– Notification to Authors: March 13, 2013.
– Camera-Ready Versions Due: March 30, 2013.
– Workshop day: May 14, 2013.
– WWW 2013 Conference: May 13-17, 2013.
Papers must be sent in a PDF file, and written in English.
Participants are invited to submit: (1) a full-length technical paper
of up to 8 pages in length, (2) a short position paper of 4 pages, or
(3) a demo or poster paper of up to 2 pages. Submissions must follow
the ACM template
will be reviewed by at least three PC members, and accepted papers
will be published in the ACM Digital Library.
Submissions can be made through Easychair:
For inquieries, please contact: email@example.com
– Arkaitz Zubiaga, City University of New York, USA
– Damiano Spina, UNED, Spain
– Maarten de Rijke, University of Amsterdam, The Netherlands
– Markus Strohmaier, Graz University of Technology, Austria
– Martin Atzmueller, University of Kassel, Germany
– Alejandro Bellogín, Autonomous University of Madrid, Spain
– Bettina Berendt, Katholieke Universiteit Leuven, Belgium
– Roi Blanco, Yahoo! Research, Spain
– Alvin Chin, Nokia Research Center, China
– Philipp Cimiano, Bielefeld University, Germany
– Munmun De Choudhury, Microsoft, USA
– Daniel Gayo-Avello, University of Oviedo, Spain
– David Gleich, Purdue University, USA
– Julio Gonzalo, UNED, Spain
– Michael Granitzer, University of Passau, Germany
– Andreas Hotho, University of Wuerzburg, Germany
– Geert-Jan Houben, TU Delft, The Netherlands
– Nattiya Kanhabua, L3S Research Centre, Germany
– David Laniado, Barcelona Media, Spain
– Richard Mccreadie, University of Glasgow, UK
– Edgar Meij, University of Amsterdam, The Netherlands
– Meenakshi Nagarajan, IBM Research, USA
– Sasa Petrovic, University of Edinburgh, UK
– Paolo Rosso, Technical University of Valencia, Spain
– Markus Schedl, Johannes Kepler University, Austria
– Amit Sheth, Wright State University, USA
– Vivek Singh, MIT, USA
– Christoph Trattner, Graz University of Technology, Austria
For more information, please visit http://www.ramss.ws