Call for papers

International Journal of Social Network Mining

Special Issue on: "Mining Social Networks for Recommender Systems"

http://www.inderscience.com/info/ingeneral/cfp.php?id=1940


Guest Editors:

Dr. Panagiotis Symeonidis, Aristotle University, Greece
symeon@csd.auth.gr

Prof. Dr. Yannis Manolopoulos, Aristotle University, Greece
email:manolopo@csd.auth.gr


Social networks such as Facebook, Linkedin, etc. contain gigabytes of data that
can be mined to make recommendations for products, events or even friendships.
The premise of these recommendations is that individuals might only be a few
steps from a desirable social friend, event or product, but not realise it.
In such systems, people often belong to multiple explicit or implicit social
networks because of different interpersonal interactions. That is, besides
the explicit friendship relations between the users, there are also other
implicit relations. For example, users can co-comment on products and they can
co-rate products or co-tag a photo. The aim of this special issue is to study
how mining of social networks can leverage the quality of recommendations. The
analysis of social influence and the inference of social rating networks and
social media can help in providing more accurate and effective product,
friend, activity and event recommendations.


Suitable topics include but are not limited to:

•Link prediction in social networks
•Rating prediction in social rating networks
•Recommendation in social rating networks
•Cross-domain recommendation in social rating networks
•Group recommendation in social networks
•Top-N friend recommendation in social networks
•Top-N item recommendation in social networks
•Recommendation in social networks with distrust
•Recommendation in time-evolving social networks
•Social network analysis for recommendation
•Memory-based methods for recommendation in social networks
•Model-based methods for recommendation in social networks
•Recommendation by combining multiple social networks
•Privacy of recommendation in social networks
•Event and activity recommendation in mobile social networks
•Recommendation in location-based social networks
•Collaborative filtering in social networks
•Context-aware recommendation in social networks
•Explaining recommendation in social networks
•Recommendation in social media
•Multi-criteria recommendation in social networks


Important Dates

Paper submission due: 1 February, 2013
First round notification: 1 May, 2013
Revised version due: 1 August, 2013