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[Myexperiment-discuss] [Fwd: [computational.science] CFP: ACM TKDD Speci


From: Carole Goble
Subject: [Myexperiment-discuss] [Fwd: [computational.science] CFP: ACM TKDD Special Issue on Social Computing, Behavioral Modeling, and Prediction]
Date: Mon, 12 May 2008 20:26:42 +0100
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--- Begin Message --- Subject: [computational.science] CFP: ACM TKDD Special Issue on Social Computing, Behavioral Modeling, and Prediction Date: Mon, 12 May 2008 10:45:17 -0700
ACM TKDD Special Issue on Social Computing, Behavioral Modeling, and
Prediction 
http://www.public.asu.edu/~huanliu/acm-tkdd-sbp<http://www.public.asu.edu/%7Ehuanliu/acm-tkdd-sbp>

*Guest Editors: *Huan Liu, John Salerno, Michael Young, Rakesh Agrawal, and
Philip Yu

Social computing is concerned with the study of social behavior and social
context based on computational systems. Behavioral modeling helps study and
reproduce social behavior, and allows for experimenting, scenario planning,
and deep understanding of behavior, patterns, and potential outcomes.  The
pervasive use of computing and Internet technologies provides an
unprecedented environment of various social activities.  Social computing
facilitates behavioral modeling in model building, analysis, pattern mining,
and prediction. Numerous interdisciplinary and interdependent systems are
created and used to represent the various social and physical systems for
investigating the interactions between groups, communities, or
nation-states. This presents singular challenges to knowledge discovery from
data and requires joint efforts from multiple disciplines, social computing,
and behavioral modeling in order to document lessons learned and develop
novel theories, experiments, and methodologies in terms of social, physical,
psychological, and governmental mechanisms.  The goal is to enable us to
create, experiment, and recreate an operational environment with a better
understanding of the contributions from individual disciplines, forging
joint interdisciplinary efforts to advance science and research.

This special issue promotes an interdisciplinary, fledgling field of social
computing, behavioral modeling, and prediction, and offers a platform for
researchers and practitioners from sociology, behavioral science, computer
science, psychology, cultural study, information systems, operations
research to illustrate pressing needs, demonstrate challenging research
issues,  and showcase the state-of-the-art research and development.
Topics of Interests

Papers are solicited on research issues, theories, and applications of
social computing, behavioral modeling, and prediction. Topics of interests
include, but are not limited to,

   - Group formation and evolution
   - Group representation and profiling
   - Cultural patterns and representation
   - Social conventions and social contexts
   - Intentions, behaviors, and relations
   - Modeling, projection, and forecasting
   - Social network analysis and mining
   - Group interaction and collaboration


   - Influence process and recognition
   - Public opinion representation and extraction
   - Search, data, and inference
   - Trust and reputation
   - Sentiment representation and detection
   - Metrics and evaluation
   - Data collection and benchmarks
   - Model and analysis complexity

   Important Dates

Submission of full papers: *September 10, 2008*
Notification of paper acceptance: *November 10, 2008*
Camera-ready: *December 10, 2008*
Submission and Preparation

Each submission will be reviewed by at least 3 reviewers.

Please submit your manuscript at ACM TKDD Special Issue on Social Computing,
Behaviroal Modeling, and
Prediction<http://www.easychair.org/conferences/?conf=kddsbp08>

Details of the journal, manuscript preparation, and recent articles are
available on the website: http://tkdd.cs.uiuc.edu

Contact information: Huan Liu <http://www.public.asu.edu/%7Ehuanliu> (
address@hidden)


-- 
http://www.public.asu.edu/~huanliu

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