ISKOI: Mining social media: Sevilla: Nov 9

Jose Maria Gomez Hidalgo isko at cilea.it
Wed May 13 14:06:39 CEST 2009


Apologies for cross-postings. Please, send to interested colleagues
and students.


CALL FOR PAPERS
First International Workshop on Mining Social Media
http://www.socialgamingplatform.com/msm09/
Workshop at CAEPIA 2009 (http://www.lsi.us.es/caepia09) November 9,
2009, Sevilla, Spain Submission deadline: July 31, 2009

OVERVIEW

Social Media are technological tools that allow users sharing and
discuss information. Most Social Media are Internet based applications
that manage textual information, as blogs (Blogger, Wordpress),
microblogging (Twitter, Pownce), wikis (Wikipedia), forums, or Social
Networks (Facebook, MySpace, LinkedIn). But there also exist other
Social Media Internet applications where users share more than text,
as photo sharing tools (Flickr, Picasa), video sharing (YouTube,
Vimeo), livecasting (Ustream), or audio and music sharing (last.fm,
ccMixter, FreeSound). More recent Social Media includes virtual worlds
(Second Life), online gaming (World of Warcraft, WarHammer Online),
game sharing (Miniclip.com) and Mobile Social Media like Nomad Social
Networks where users share their current position in the Real World.

Social Media have been able to shift the way information is generated
and consumed. At first, information was generated by one person and
"consumed" by many people, but now the information is generated by
many people and consumed by many people, changing the needs in
information access and management. It is also noticeable that Social
Media applications manage huge quantities of users and data: Facebook
and MySpace manage between 100 and 150 million users, it is estimated
that 1 million blog posts are generated each day, microblogging
services like Twitter generates 3 million messages each day, YouTube
manages more that 150.000 million videos, etc. All these points make
clear that Social Media is an excellent application field for data
miners.

CALL FOR PARTICIPATION

The Mining Social Media workshop aims to bring practitioners but also
researchers with a specific focus on the application of existent or
novel Data Mining techniques into the field of Social Media. We
encourage the submission of experimental papers where Data Mining
techniques are applied into existent Social Media, but also more
theoretical papers that show clear application in real Social Media
applications. The interesting topics include blog post analysis, blog
comments analysis, blog spam, recommender systems for Social Media,
clickstream analysis, relevance analysis, spam users detection,
behavior analysis, contextual mining, Social Media user segmentation,
route analysis for nomad Social Networks, multimedia mining, search in
Social Media, etc.

All the submissions must be practical or theoretical applications of
Data Mining or Information Management to Social Media (blogs, wikis,
social networks, social services, e-mail, etc.).

A. Data Mining for Social Networks

* Novel Algorithms
* Association Rules
* Mining semi-structured data
* Classification and Ranking
* Clustering
* Text Mining
* Machine Learning
* Privacy Preserved Data Mining
* Statistical Methods
* Temporal and spatial data mining
* Parallel and Distributed Data Mining
* Interactive and Online Mining
* Data and Knowledge Visualization
* Multimedia mining (audio/video)
* Ensemble Methods
* Web Mining
* Graph Mining
* Link Mining

B. Information Management for Social Networks

* Recommender Systems
* Information Retrieval
* Sentiment Analysis
* Natural Language Processing
* Question Answering
* Semantic Processing
* Graph Analysis and Complex Networks
* Social Network Analysis

C. Possible applications

* E-Mail Spam Detection
* Blog/Social Networks Spam Detection
* Community Detection
* Users/content recommenders
* Trends discovery
* Blogs/Social Networks Community Dynamics
* User Reviews Ranking
* Blogs/Social Networks Contributions Summarization
* Abuse/Fraud Detection
* User Profile Modeling
* Event Detection and Tracking in Social Media

We welcome contributions through research papers and industrial
reports/case studies on applications. We also welcome work-in-progress
contributions, as well papers discussing potential research
directions.

IMPORTANT DATES

* Deadline for submission: 31 July 2009
* Notification of acceptance: 17 September 2009
* Workshop: 9 November 2009

INVITED SPEAKER

* William W. Cohen (Carnegie Mellon University)

INDUSTRY PANEL

The Industry Panel features panelists from several Social Media
companies, who will give their vision about needs, opportunities and
current solutions of Data Mining and related techniques to real Social
Media solutions. Up to date, Strands (http://www.strands.com) and
Tuenti (http://www.tuenti.com) have confirmed their presence in this
panel.

SUBMISSION OF PAPERS

Submissions must be anonymous. Papers must be sent in a PDF file,
written in English and not exceed 12 pages including figures,
references, etc. and should be formatted according to the Springer
LNAI guidelines. Papers will be reviewed by at least two PC members,
and accepted papers will be published in the workshop proceedings. We
are currently studying the possibility of publishing Springer
post-proceedings and a special issue on a Data Mining journal.

SPONSORS (confirmed as of May 3, 2009):

* MAVIR (http://www.mavir.net)
* UEM (http://www.uem.es)
* Fundación Madri+D para el Conocimiento (http://www.madrimasd.org)
* STRANDS (http://www.strands.com)

ORGANIZATION COMMITEE

* Jose Carlos Cortizo (Social Gaming Platform, Universidad Europea de
Madrid) - primary contact (josecarlos.cortizo at wipley.com)
* Francisco Manuel Carrero (Social Gaming Platform, Universidad
Europea de Madrid)
* Jose Maria Gomez (Optenet)
* Enrique Puertas (Universidad Europea de Madrid)
* Borja Monsalve (Social Gaming Platform, Universidad Europea de Madrid)

PROGRAM COMMITEE

* Nitin Agarwal (University of Arkansas at Little Rock, USA)
* Aris Anagnostopoulos (Sapienza Università di Roma , Italy)
* Raul Arrabales (Universidad Carlos III de Madrid, Spain)
* Dominik Benz (University of Kassel, Germany)
* Paolo Boldi (University of Milano, Italy)
* Iván Cantador (Universidad Autónoma de Madrid & University of
Glasgow, United Kingdom)
* Francisco Manuel Carrero (Social Gaming Platform, Spain)
* Pablo Castells (Universidad Autónoma de Madrid, Spain)
* Meeyoung Cha (Max Planck Institute, Germany)
* Yun Chi (Nec Laboratories America, USA)
* Jose Carlos Cortizo (Social Gaming Platform, Spain)
* Debora Donato (Yahoo! Research, Spain)
* Cesar Estebanez (Universidad Carlos III de Madrid, Spain)
* Jose Maria Gomez (Optenet, Spain)
* Antonio Gulli (Ask.com, Italy)
* Viet Ha-Thuc (University of Iowa, USA)
* José Antonio Iglesias Martínez (Universidad Carlos III de Madrid, Spain)
* Akshay Java (MSN Microsoft, USA)
* Gueorgi Kossinets (Google, USA)
* Zornitsa Kozareva (Universidad de Alicante, Spain)
* Beate Krause (University of Kassel, Germany)
* Emmanuelle Lebhar (CNRS & Universidad de Chile, Chile)
* Agapito Ledezma Espino (Universidad Carlos III de Madrid, Spain)
* Kristina Lerman (USC Information Sciences Institute, California, USA)
* Ee-Peng Lim (Singapore Management University, Singapore)
* Stéphane Marchand-Maillet (University of Geneva, Switzerland)
* Luis Martin (Universidad Politecnica de Madrid, Spain)
* Borja Monsalve (Social Gaming Platform, Spain)
* Cesar de Pablo (Universidad Carlos III de Madrid, Spain)
* Manos Papagelis (University of Toronto, Canada)
* Victor Peinado (Universidad Nacional de Educación a Distancia, Spain)
* Enrique Puertas (Universidad Europea de Madrid, Spain)
* Josep Lluis de la Rosa (Universidad de Girona & Rensselaer
Polytechnic Institute, USA)
* Sara Owsley Sood (Pomona College, USA)
* Markus Strohmaier (Graz University of Technology, Austria)
* Yaiza Temprado (Universidad Europea de Madrid, Spain)
* Marc Torrens (Strands, Spain)


--

José María Gómez Hidalgo
http://www.esp.uem.es/jmgomez
http://jmgomezhidalgo.blogspot.com


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