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Predicting Real World Behaviors from Virtual World Data

  • Muhammad Aurangzeb Ahmad
  • Cuihua Shen
  • Jaideep Srivastava
  • Noshir Contractor

Part of the Springer Proceedings in Complexity book series (SPCOM)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor
    Pages 1-18
  3. Carl Symborski, Gary M. Jackson, Meg Barton, Geoffrey Cranmer, Byron Raines, Mary Magee Quinn
    Pages 19-37
  4. Tracy Kennedy, Rabindra (Robby) Ratan, Komal Kapoor, Nishith Pathak, Dmitri Williams, Jaideep Srivastava
    Pages 69-84
  5. Annalisa Socievole, Floriano De Rango, Salvatore Marano
    Pages 85-102
  6. Iftekhar Ahmed, Amogh Mahapatra, Marshall Scott Poole, Jaideep Srivastava, Channing Brown
    Pages 103-115
  7. Back Matter
    Pages 117-118

About these proceedings

Introduction

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 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.

Keywords

Behavioral Prediction Big Data in Virtual Worlds Gaming Versus Reality RWVW-2013 Proceedings Virtual Online Gaming Virtual World to Real World Prediction Virtual Worlds

Editors and affiliations

  • Muhammad Aurangzeb Ahmad
    • 1
  • Cuihua Shen
    • 2
  • Jaideep Srivastava
    • 3
  • Noshir Contractor
    • 4
  1. 1.Dept. Computer Science and EngineeringUniversity of MinnesotaMinneapolisUSA
  2. 2.Emerging Media & Communication Program School of Arts & HumanitiesUniversity of Texas at DallasRichardsonUSA
  3. 3.Department of Computer ScienceUniversity of MinnesotaMinneapolisUSA
  4. 4.Dept. of Communication StudiesNorthwestern UniversityEvanstonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-07142-8
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-07141-1
  • Online ISBN 978-3-319-07142-8
  • Series Print ISSN 2213-8684
  • Series Online ISSN 2213-8692
  • Buy this book on publisher's site
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