[Air-L] CFP: Workshop on "Finding Synergies Between Texts and Networks" at IEEE International Conference on Social Computing, Minneapolis, August 2010

Jana Diesner diesner at cs.cmu.edu
Thu Apr 29 11:02:03 PDT 2010


Call For Papers

Workshop on "Finding Synergies Between Texts and Networks"

at IEEE International Conference on Social Computing (SocialCom2010)
(http://www.iisocialcom.org/conference/socialcom2010/)

August 20-22, 2010, Minneapolis, Minnesota

 

Call For Papers

We solicit research papers, works-in-progress, and position papers. 

PDF version of CFP: http://people.csail.mit.edu/aoh/workshopCFP.pdf 

 

Important Dates (US EDT)

Submission Deadline: May 8, 2010 (extended one week upon requests)

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. Details:
http://www.ieee.org/web/publications/pubservices/confpub/AuthorTools/confere
nceTemplates.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, KAIST (Korea Advanced Institute of Science and Technology)

alice.oh at kaist.edu

 

Jana Diesner, Carnegie Mellon University

jdiesner at andrew.cmu.edu

 

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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