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WTN@SocialCom 2010 : IEEE SocialCom Workshop on Finding Synergies Between Text and Networks

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Link: http://people.csail.mit.edu/aoh/workshop.html
 
When Aug 20, 2010 - Aug 22, 2010
Where Minneapolis, MN, USA
Submission Deadline May 1, 2010
Notification Due Jun 1, 2010
Final Version Due Jun 15, 2010
 

Call For Papers

Important Dates (US EDT)

Submission Deadline: May 1, 2010
Notification of Acceptance: June 1, 2010
Camera-Ready Deadline: June 15, 2010

Paper Formats

Up to 6 Pages Research Papers
Up to 4 Pages Work-in-Progress and Position Papers

1. Workshop Overview

In social computing, the structure of socio-technical networks and the content produced by these networks are inherently intertwined, but they are often analyzed separately. We invite researchers from various disciplines to discuss ways to find synergies between text analysis and network analysis.

At this workshop, we will be

1. Initiating a dialogue about and in-depth look at the methodologies used in social network analysis and text analysis,
2. Discussing holistic approaches for combining network and text analysis,
3. Sharing and defining needs for data sets that include content and metadata,
4. Illustrating informative data analysis results from the combination of text and network analysis, and
5. Presenting novel applications combining text and network analysis including their validations

Workshop participants will represent a diverse set of communities including:

* Statistical natural language processing
* Computational linguistics
* Social network analysis
* Social media analytics
* Social science
* Opinion mining
* Machine learning

2. Topics of Interest

We welcome papers from researchers with expertise in one or more of the following topics and a keen interest in integrating network analysis and text analysis to create synergistic effects. Participants will be selected based on their technical merit and potential for contributing to the theme of the workshop.

* Combining network analysis and text analysis of social media including blogs, microblogs, social network services (SNS)
* Opinion and emotion analysis using text and network analysis
* Propagation processes using text and network analysis
* Jointly modeling networks and contents for machine learning and data mining
* Trust, reputation, and privacy in online social contexts
* Social media data collection and data repositories for content and network analysis

Prepare your manuscript with IEEE conference paper styles. (http://www.ieee.org/web/publications/pubservices/confpub/AuthorTools/conferenceTemplates.html) All papers will be peer-reviewed by a single-blind review process, and if the paper is accepted, at least one of the authors must attend the workshop to present the work. Accepted papers will be published in the workshop section of IEEE SocialCom-2010 Proceedings and the IEEE Digital Library.

3. Workshop Organizers

Alice Oh
alice.oh@kaist.edu
Alice Oh is an Assistant Professor of Computer Science at KAIST. She heads the Users & Information Lab, with the research agenda of understanding users and information from several different perspectives. Recent research at the lab has focused on analyzing online social media such as blogs and microblogs using statistical learning algorithms such as topic models. Alice received her Master's degree in Language Technologies from CMU in 2000 and her Ph.D. in Computer Science from MIT in 2008.

Jana Diesner
jdiesner@andrew.cmu.edu
Jana Diesner is a Ph.D. Student at Carnegie Mellon University, School of Computer Science, Institute for Software Research. Her mission is to span the boundary between natural language processing and relational data analysis in order to better understand the co-evolution and interplay of the semantics and mechanics of real-world, socio-technical networks. She combines methods from machine learning, artificial intelligence, and social science for this purpose. She also is a developer for AutoMap, a freely available software package for network text analysis.

4. Program Committee

Edoardo M. Airoldi, Harvard University
Kathleen Carley, Carnegie Mellon University
James Caverlee, Texas A&M University
Meeyoung Cha, Max Planck Institute for Software Systems
William Cohen, Carnegie Mellon University
Jason Kessler, Indiana University
Il-Chul Moon, Korea Advanced Institute of Science and Technology
Ozlem Uzuner, State University of New York, Albany
Shinjae Yoo, Carnegie Mellon University

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