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"item_title" : "Predicting Real World Behaviors from Virtual World Data",
"item_author" : [" Muhammad Aurangzeb Ahmad", "Cuihua Shen", "Jaideep Srivastava "],
"item_description" : "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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Predicting Real World Behaviors from Virtual World Data
Overview
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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Details
- ISBN-13: 9783319348490
- ISBN-10: 3319348493
- Publisher: Springer
- Publish Date: September 2016
- Dimensions: 9.21 x 6.14 x 0.29 inches
- Shipping Weight: 0.44 pounds
- Page Count: 118
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