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Springer Proceedings in Complexity

Predicting Real World Behaviors from Virtual World Data

Editors: Ahmad, M.A., Shen, C., Srivastava, J., Contractor, N. (Eds.)

  • Gathers insights from different disciplines like data mining, behavioral modeling, ethnography to connect the online with the offline world
  • Features data-driven and theory-driven techniques for predicting people’s behavior in the real world
  • Provides a framework for doing predictive modeling from virtual worlds to the real world and the efficacy of such predictions
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eBook $69.99
price for USA in USD (gross)
  • ISBN 978-3-319-07142-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $84.99
price for USA in USD
  • ISBN 978-3-319-07141-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 11, 2016
  • ISBN 978-3-319-34849-0
  • Free shipping for individuals worldwide
About this book

There is a growing body of literature that focuses on the similarities and differences between how people behave in the offline world vs. how they behave in these virtual environments. Data mining has aided in discovering interesting insights with respect to how people behave in these virtual environments. The book addresses prediction, mining and analysis of offline characteristics and behaviors from online data and vice versa. Each chapter will focus on a different aspect of virtual worlds to real world prediction e.g., demographics, personality, location, etc.

Table of contents (7 chapters)

  • On the Problem of Predicting Real World Characteristics from Virtual Worlds

    Ahmad, Muhammad Aurangzeb (et al.)

    Pages 1-18

  • The Use of Social Science Methods to Predict Player Characteristics from Avatar Observations

    Symborski, Carl (et al.)

    Pages 19-37

  • Analyzing Effects of Public Communication onto Player Behavior in Massively Multiplayer Online Games

    Lakkaraju, Kiran (et al.)

    Pages 39-56

  • Identifying User Demographic Traits Through Virtual-World Language Use

    Lawson, Aaron (et al.)

    Pages 57-67

  • Predicting MMO Player Gender from In-Game Attributes Using Machine Learning Models

    Kennedy, Tracy, PhD (et al.)

    Pages 69-84

Buy this book

eBook $69.99
price for USA in USD (gross)
  • ISBN 978-3-319-07142-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $84.99
price for USA in USD
  • ISBN 978-3-319-07141-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 11, 2016
  • ISBN 978-3-319-34849-0
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Predicting Real World Behaviors from Virtual World Data
Editors
  • Muhammad Aurangzeb Ahmad
  • Cuihua Shen
  • Jaideep Srivastava
  • Noshir Contractor
Series Title
Springer Proceedings in Complexity
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-07142-8
DOI
10.1007/978-3-319-07142-8
Hardcover ISBN
978-3-319-07141-1
Softcover ISBN
978-3-319-34849-0
Series ISSN
2213-8684
Edition Number
1
Number of Pages
XIV, 118
Number of Illustrations
13 b/w illustrations, 27 illustrations in colour
Topics