Predicting real world behaviors from virtual world data /

This 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. There is a growing body of literature...

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Bibliographic Details
Other Authors:	Ahmad, Muhammad Aurangzeb (Editor), Shen, Cuihua (Editor), Srivastava, Jaideep (Editor), Contractor, Noshir S., 1959-
Format:	Book
Language:	English
Published:	Cham : Springer, [2014]
Series:	Springer proceedings in complexity.
Subjects:	Internet > Social aspects. Virtual reality > Social aspects. Computer games > Social aspects.

Table of Contents:

On the problem of predicting real world characteristics from virtual worlds / Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava and Noshir Contractor-- The use of social science methods to predict player characteristics from avatar observations / Carl Symborski, Gary M. Jackson, Meg Barton, Geoffrey Cranmer, Byron Raines and Mary Magee Quinn
Analyzing effects of public communication onto player behavior in massively multiplayer online games / Kiran Lakkaraju, Jeremy Bernstein and Jon Whetzel
Identifying user demographic traits through virtual-world language use / Aaron Lawson and John Murray
Predicting MMO player gender from in-game attributes using machine learning models / Tracy Kennedy, Rabindra (Robby) Ratan, Komal Kapoor, Nishith Pathak, DmitriWilliams and Jaideep Srivastava
predicting links in human contact networks using online social proximity / Annalisa Socievole, Floriano De Rango and Salvatore Marano
identifying a typology of players based on longitudinal game data / Iftekhar Ahmed, Amogh Mahapatra, Marshall Scott Poole, Jaideep Srivastava and Channing Brown
Index.