Predicting real world behaviors from virtual world data / 
edited by Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor. 
 - xiv, 118 páginas :  40 ilustraciones, 27 ilustraciones en color. 
 - Springer Proceedings in Complexity,  2213-8684 .
<br/><br/> Springer eBooks 
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9783319071428 
<br/><br/><label>LC Class. No.: </label>QA76.76.A65