Predicting Real World Behaviors from Virtual World Data
tarafından
 
Ahmad, Muhammad Aurangzeb. editor.

Başlık
Predicting Real World Behaviors from Virtual World Data

Yazar
Ahmad, Muhammad Aurangzeb. editor.

ISBN
9783319071428

Fiziksel Niteleme
XIV, 118 p. 40 illus., 27 illus. in color. online resource.

Seri
Springer Proceedings in Complexity,

İçindekiler
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.

Özet
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.

Konu Başlığı
Computer science.
 
Application software.
 
Mathematics.
 
Social sciences.
 
Sociophysics.
 
Econophysics.
 
Computer Appl. in Social and Behavioral Sciences.
 
Socio- and Econophysics, Population and Evolutionary Models.
 
Methodology of the Social Sciences.
 
Mathematics in the Humanities and Social Sciences.

Yazar Ek Girişi
Ahmad, Muhammad Aurangzeb.
 
Shen, Cuihua.
 
Srivastava, Jaideep.
 
Contractor, Noshir.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
http://dx.doi.org/10.1007/978-3-319-07142-8


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book20944-1001QA76.76 .A65Springer E-Book Collection