The Resource Predicting Real World Behaviors from Virtual World Data, edited by Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor, (electronic resource)

Predicting Real World Behaviors from Virtual World Data, edited by Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor, (electronic resource)

Label
Predicting Real World Behaviors from Virtual World Data
Title
Predicting Real World Behaviors from Virtual World Data
Statement of responsibility
edited by Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor
Creator
Contributor
Editor
Provider
Subject
Language
eng
Summary
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
Member of
http://library.link/vocab/creatorName
Ahmad, Muhammad Aurangzeb
Image bit depth
0
LC call number
QA76.76.A65
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Shen, Cuihua.
  • Srivastava, Jaideep.
  • Contractor, Noshir.
  • SpringerLink
Series statement
Springer Proceedings in Complexity,
http://library.link/vocab/subjectName
  • Computer science
  • Social sciences
  • Social sciences
  • Computer Science
  • 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
Label
Predicting Real World Behaviors from Virtual World Data, edited by Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XIV, 118 p. 40 illus., 27 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319071428
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-07142-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-07142-8
Label
Predicting Real World Behaviors from Virtual World Data, edited by Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XIV, 118 p. 40 illus., 27 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319071428
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-07142-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-07142-8

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