2nd International Workshop on
Modeling, Managing and Mining of Evolving Social Networks
(M3SN 2010)
March 6, 2010, Long Beach, California, USA
In conjunction with the 26th IEEE International Conference on Data
Engineering (ICDE 2010) March 1-6, 2010

http://www.mpi-inf.mpg.de/conferences/m3sn10/

*** Motivation and scope ***

Online social networking is quickly turning into an popular means of
interacting with friends, sharing information, finding information as
well as people with common interests, and, in general, a way to manage
"personal spaces". Online Social networking services of all flavors
have grown remarkably in a short span of time, with millions of users
creating and sharing a vast amount of data ranging from blog entries,
bookmarks, pictures to interactive games and personal interactions.

The amount of attention the research community has devoted to social
networks has so far not kept up with their growth in popularity and
overall importance. This needs to be addressed as social networks give
rise to a number of new research challenges unique to them, such as
modeling and exploiting their evolutionary dynamics, effective re-
source discovery within the variety of "social media" (photos, blogs,
videos, maps, games, etc.) exploiting the number of interaction paths
available, engineering of the mining algorithms required to deal with
the underlying, heterogeneous data making up social networks, etc.

Adaptation of existing approaches in search and advertising to social
networks is not straight-forward as well: the standard advertising
models used in the context of sponsored search appear to break down
when applied to social networks and searching for people, contacts or
shared interests is very different from the search over documents stu-
died in information retrieval. Exploiting the profusion of information
within the social network requires deeper collaboration amongst re-
search areas as diverse as graph theory to sociology to economics,
with effective data engineering methods to assure scalability of the
resulting methods.

In this workshop, we aim to address some of these open research chal-
lenges in modeling and mining of dynamic social networks. In particu-
lar, we focus on research related to the following topics:

*** Topics of Interest ***

* Modeling of Social Networks
  - Evolutionary models for social networks.
 - Privacy and security issues.
- Modeling trust and reputation in social networks.
* Recommendation
- Importance of friendship links in social recommender systems.
  - Impact of recommendation models on the evolution of the social
network.
- Classification models and their application in social recommender
systems.
* Advertisement models
- Influence models and their application in social environment.
- Social advertising and the use of social networks for marketing.
* Search in social media
- Web page ranking informed by social media.
- Expertise discovery.
  - Collaborative Filtering.

*** Important Dates ***

- Paper submissions due: November 15, 2009
- Notification of acceptance: December 15, 2009
- Camera-ready papers due: January 3, 2010

*** Paper Submission ***

All papers must represent original and unpublished work that is not
currently under review. Papers will be evaluated according to their
significance, originality, technical content, style, clarity, and
relevance to the workshop. At least one author of each accepted paper
is expected to attend the workshop. Research papers must be prepared
in the 8/5"x11" IEEE camera-ready format; templates are available at
http://www.icde2010.org/index.php/cfpapers

Full papers should not exceed 8 pages, short papers 4 pages. All
papers should be submitted using the M3SN workshop web site at
https://cmt.research.microsoft.com/M3SN2010

Authors of accepted papers will submit a camera-ready version for
final publication. All papers accepted by the workshop will appear in
the formal Proceedings of the Conference Workshops published by IEEE
CS Press, and will therefore be included in the IEEE digital library.

*** Workshop Organizers ***

* Srikanta Bedathur, MPI Informatik, Germany
* Akshay Java, Microsoft, USA
* Ralf Schenkel, Saarland University, Germany

*** Program Committee ***

Ralitsa Angelova, MPI Informatik, Germany
Ira Assent, Aalborg University, Denmark
Ed Chi, Palo Alto Research Center, USA
Yun Chi, NEC Laboratories America, USA
Chris Diehl, John Hopkins Applied Physics Lab, USA
Tim Finin, University of Maryland, USA
Michael Gamon, Microsoft Research, USA
Matthew Hurst, Microsoft Live Labs, USA
Pranam Kolari, Yahoo!, USA
Christian Koenig, Microsoft, USA
David Liben-Nowell, Carleton College, USA
Sergey Sizov, University of Koblenz, Germany
Benno Stein, University of Weimar, Germany
Wolfgang Woerndl, TU Munich, Germany
Cong Yu, Yahoo! Research, USA