Predicting Real World Behaviors from Virtual World Data by Noshir Contractor
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Predicting Real World Behaviors from Virtual World Data

Predicting Real World Behaviors from Virtual World Data


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About the Book

Preface.- On The Problem of Predicting Real World Characteristics from Virtual Worlds.- The Use of Social Science Methods to Predict Player Characteristics from Avatar Observations.- Analyzing Effects of Public Communication onto Player Behavior in Massively Multiplayer Online Games.- Identifying User Demographic Traits through Virtual-World Language Use.- Predicting MMO Player Gender from In-Game Attributes using Machine Learning Models.- Predicting Links in Human Contact Networks using Online Social Proximity.- Identifying a Typology of Players Based on Longitudinal Game Data.


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Product Details
  • ISBN-13: 9783319348490
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: Softcover reprint of the original 1st ed. 2014
  • Language: English
  • Returnable: N
  • Spine Width: 7 mm
  • Width: 156 mm
  • ISBN-10: 3319348493
  • Publisher Date: 24 Sep 2016
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 118
  • Series Title: Springer Proceedings in Complexity
  • Weight: 249 gr


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Predicting Real World Behaviors from Virtual World Data
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