M3SN 2009
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Workshop on Modeling, Managing, and Mining of Evolving Social Networks
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| Dates | 2009-03-29 (iCal) - 2009-03-29 |
| Homepage: | research.microsoft.com/dmx/M3SN |
| Location | |
| Location: | CN/SH/Shanghai, CN/SH, CN |
| Important dates | |
| Submissions: | Nov 18, 2008 |
| Notification: | Dec 15, 2008 |
| Camera ready due: | Jan 2, 2009 |
| Table of Contents | |
Workshop on
Modeling, Managing, and Mining of Evolving Social Networks (M3SN)
In conjunction with
the 25th International Conference on Data Engineering ICDE'09,
Shanghai, China. March 29, 2009
Web Page: http://research.microsoft.com/dmx/M3SN/
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Online social networking is gradually turning into the primary means
of interacting with friends and peers online, forming new social ties,
or most commonly as a way of users to manage their "personal spaces".
Study of these large-scale social networking systems, their
evolution, and development of data mining techniques that turn the
rich latent information within these networks into actionable
intelligence is of great interest. Presence of a diversity of content
(photos, videos, travel maps, reviews, interactive gaming, etc.) as
well as a variety of interaction paths (explicit friendships, links to
bookmarks or blogs, comments left on blogs, etc.) give raise to a
number of new and unique research challenges in terms of their
management, mining and modeling. Their effective solution requires
deeper collaboration amongst research areas ranging from graph theory
to sociology and economic models to data engineering. In this workshop
we aim to bring together academic researchers and practitioners to
address the open research challenges in dynamic social networks. We
solicit original high-quality submissions dealing with various aspects
of modeling and mining of evolving social networks with applications
to recommendation systems, targeted advertising, and classification/
clustering of entities.
TOPICS OF INTEREST
- Modeling of Social Networks
o Evolutionary models for social networks.
o Privacy and security issues.
o Modeling trust and reputation in social networks.
- Recommendation
o Importance of friendship links in social recommender systems.
o Impact of recommendation models on the evolution of the social network.
o Classification models and their application in social recommender systems.
- Advertisement models
o Influence models and their application in social environment
o Social advertising.
o Use of social networks for marketing
- Search in social media
o Web page ranking informed by social media.
o Expertise discovery.
o Collaborative Filtering.
IMPORTANT DATES
Papers due: November 18, 2008
Notification to Authors : December 15, 2008
Camera ready versions: January 2, 2009
Workshop: March 29, 2009
SUBMISSION INSTRUCTIONS
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. Research papers must be formatted using
the 8/5"x11" IEEE camera-ready format; templates are available at:
http://i.cs.hku.hk/icde2009/aik.htm
Full papers should not exceed 8 pages, short papers not
exceed 4 pages and be submitted using the M3SN site at:
https://cmt.research.microsoft.com/M3SN
CONFIRMED KEYNOTES
Edward Y. Chang - Director of Research, Google China
Sihem Amer-Yahia - Yahoo! Research
ORGANIZATION
Workshop Organizers
Ralitsa Angelova, Max-Planck Institute for Informatics, Germany
Srikanta Bedathur, Max-Planck Institute for Informatics, Germany
Arnd Christian Konig, Microsoft Research, USA
Andrei Broder, Yahoo! Research, USA
Program Committee:
Eytan Adar University of Washington, USA
James Caverlee Texas A&M University, USA
Debora Donato Yahoo! Research, Spain
Thomas Hofmann Google Europe
Matthew Hurst Microsoft Live Labs, USA
Jeanette Janssen Dalhousie University, Canada
Georgia Koutrika Stanford University, USA
Evangelos Milios Dalhousie University, Canada
Bamshad Mobasher DePaul University, USA
Ingmar Weber EPFL, Lausanne, Switzerland
This CfP was obtained from WikiCFP