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.

Important dates

  • Paper Submission Deadline: February 27, 2013.
  • Notification to Authors: March 13, 2013.
  • Camera-Ready Versions Due: March 30, 2013.
  • Workshop day: May 14, 2013.

Paper Submission

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. Papers will be reviewed by at least three PC members, and accepted papers will be published in the ACM Digital Library.

See more details about the submission through Easychair.

Organizing Committee

Program Committee

  • Omar Alonso, Microsoft, USA
  • 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, China
  • Philipp Cimiano, Bielefeld University, Germany
  • Munmun De Choudhury, Microsoft, USA
  • Víctor Fresno, UNED, Spain
  • 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
  • Sina Samangooei, University of Southampton, UK
  • Markus Schedl, Johannes Kepler University, Austria
  • Amit Sheth, Wright State University, USA
  • Vivek Singh, MIT, USA
  • Christoph Trattner, Graz University of Technology, Austria