The recent increase of real-time data provided by users on social networking services has leveraged an importance gain of the real-time processing of social streams. Processing the streams in real-time can help enhance search engines, news media, and many other systems by feeding them with fresh knowledge about current affairs. Performing such analysis in real-time is of utmost importance for early reporting of breaking news, events, trends, and any other knowledge related to current affairs. However, analyzing social streams in real-time makes the task more challenging as it requires making decisions without clue of what will be next in the stream.

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

To the end of going further in the above research, 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.

We also welcome contributions discussing potential research directions, evaluation frameworks, publicly available datasets and case studies on industrial applications.

Important dates

  • Paper Submission Deadline: March 2 March 4, 2012.
  • Notification to Authors: March 16, 2012.
  • Camera-Ready Versions Due: April 2, 2012.
  • Workshop day: June 4, 2012.

Paper Submission

Submissions must be anonymous. Papers must be sent in a PDF file, and written in English. Participants are invited to submit: (1) a short position or demonstration paper of 4 pages in length or (2) a full-length technical paper of up to 10 pages in length. Submissions must follow the AAAI style (http://www.aaai.org/Publications/Author/author.php). Papers will be reviewed by at least three PC members, and accepted papers will be published in the workshop proceedings.

See more details about the submission through Easychair.

Organizing Committee

Program Committee

  • Omar Alonso, Microsoft, USA
  • Alejandro Bellogín, Autonomous University of Madrid, Spain
  • Roi Blanco, Yahoo! Research, Spain
  • Paul Clough, University of Sheffield, UK
  • Munmun De Choudhury, Microsoft, USA
  • Daniel Gayo-Avello, University of Oviedo, Spain
  • David F. Gleich, Purdue University, USA
  • Julio Gonzalo, UNED, Spain
  • Andreas Hotho, University of Würzburg, Germany
  • Geert-Jan Houben, TU Delft, The Netherlands
  • Christian Körner, TU Graz, Austria
  • Danielle H. Lee, University of Pittsburgh, USA
  • Adam Marcus, MIT, USA
  • Edgar Meij, University of Amsterdam, The Netherlands
  • Donald Metzler, Information Sciences Institute, USA
  • Meenakshi Nagarajan, IBM Research, USA
  • Paolo Rosso, Technical University of Valencia, Spain
  • Vivek Singh, University of California Irvine, USA
  • Marc A. Smith, Connected Action, USA