M3SN 2009

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/

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