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Social Computing, Behavioral-Cultural Modeling and Prediction - 4th International Conference, SBP 2011, College Park, MD, USA, March 29-31, 2011. Proceedings (Paperback, 2011 ed.)
John Salerno, Shanchieh Jay Yang, Dana Nau, Sun-Ki Chai
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R1,571
Discovery Miles 15 710
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 4th
International Conference on Social Computing, Behavioral-Cultural
Modeling and Prediction, held in College Park, MD, USA, March
29-31, 2011. The 48 papers and 3 keynotes presented in this volume
were carefully reviewed and selected from 88 submissions. The
papers cover a wide range of topics including social network
analysis; modeling; machine learning and data mining; social
behaviors; public health; cultural aspects; and effects and search.
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Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Bethesda, MD, USA, March 30-31, 2010, Proceedings (Paperback, Edition.)
Sun-Ki Chai, John Salerno, Patricia L. Mabry
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R1,583
Discovery Miles 15 830
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Ships in 10 - 15 working days
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Social computing is concerned with the study of social behavior and
social context based on computational systems. Behavioral modeling
provides a representation of the social behavior, and allows for
experimenting, scenario planning, and deep und- standing of
behavior, patterns, and potential outcomes. The pervasive use of
computer and Internet technologies by humans in everyday life
provides an unprecedented en- ronment of various social activities
that, due to the platforms under which they take place, generate
large amounts of stored data as a by-product, often in
systematically organized form. Social computing facilitates
behavioral modeling in model building, analysis, pattern mining,
and prediction. Numerous interdisciplinary and interdepe- ent
systems are created and used to represent the various social and
physical systems for investigating the interactions between groups,
communities, or nation-states. This requires joint efforts to take
advantage of the state-of-the-art research from multiple
disciplines improving social computing and behavioral modeling in
order to document lessons learned and develop novel theories,
experiments, and methodologies to better explain the interaction
between social (both informal and institutionalized), psyc-
logical, and physical mechanisms. The goal is to enable us to
experiment, create, and recreate an operational environment with a
better understanding of the contributions from each individual
discipline, forging joint interdisciplinary efforts. This volume
comprises the proceedings of the third international workshop on -
cial Computing, Behavioral Modeling and Prediction, which has grown
trem- dously.
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