ACM TIST Special Issue on Social Web Mining

Call for Papers 

ACM Transactions on Intelligent Systems and Technology (ACM TIST) 

Special Issue on Social Web Mining

Social network platforms (e.g., Facebook, Google+, Twitter) have been drawing increasing attention from everyday users worldwide to research communities and industries. For instance, it is reported that there are more than 750 million active Facebook users, of which 50% log on in any given day. The success of the social network platform provides a wealth of information, which brings great opportunities for e-Commerce, policy making, social media recommendations, and much more. However, it can be challenging to model the social networks and make predictions, given this prosperity of social networks leading to information overload.
Social web mining aims at modeling social interactions (e.g., posting and messaging in Facebook) and relationships (e.g., friendship in Facebook, Followed / Following in Twitter, Friends / Family / Acquaintances / Following in Google+), and then learning inductive rules for predictions, which are carried out by leveraging the information available via various social networks and recent advances in machine learning and data mining.
This special issue is aimed at providing a forum to highlight the leading works from the data mining and
machine learning communities for making sense of social networks.

Topics of interest include but are not limited to:
- Community detection
- Crawling of social networks
- Large scale graph mining
- Multi-relational data mining
- News/social media recommender systems
- Preference learning and elicitation in social networks
- Privacy protection in social networks
- Sentiment analysis in social networks (e.g., opinion mining in Twitter)

Submissions
On-Line Submission (will be available around January 1, 2012):
http://mc.manuscriptcentral.com/tist (please select "Special Issue: Social Web Mining" as the manuscript type)
Details of the journal and manuscript preparation are available on the website:
http://tist.acm.org/
Each paper will be peer-reviewed by at least three reviewers.

Important Dates
Full Paper Submission Deadline: February 1, 2012
Review Notification: April 1, 2012,
Final Manuscript: May 1, 2012,
Electronic Publication Date: June, 2012,
Guest Editors
Francesco Bonchi
Yahoo! Research Barcelona, Spain
http://www.francescobonchi.com/
Wray Buntine
NICTA - ANU, Australia
http://www.nicta.com.au/people/buntinew
Ricard Gavaldà
Technical University of Catalonia, Spain
http://www.lsi.upc.edu/~gavalda/
Shengbo Guo
Xerox Research Centre Europe, France
http://www.xrce.xerox.com/Research-Development/Services-Innovation-Laborator
y/Machine-Learning-for-Optimisation-and-Services/People/Shengbo-Guo
Questions?
bonchi@yahoo-inc.com, wray.buntine@nicta.com.au,
gavalda@lsi.upc.edu, shengbo.guo@xrce.xerox.com