Predicting Real World Behaviors from Virtual World Data (Record no. 58601)

000 -LEADER
fixed length control field 03272nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-319-07142-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112546.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140724s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319071428
-- 978-3-319-07142-8
082 04 - CLASSIFICATION NUMBER
Call Number 004
245 10 - TITLE STATEMENT
Title Predicting Real World Behaviors from Virtual World Data
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 118 p. 40 illus., 27 illus. in color.
490 1# - SERIES STATEMENT
Series statement Springer Proceedings in Complexity,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Ahmad, Muhammad Aurangzeb.
700 1# - AUTHOR 2
Author 2 Shen, Cuihua.
700 1# - AUTHOR 2
Author 2 Srivastava, Jaideep.
700 1# - AUTHOR 2
Author 2 Contractor, Noshir.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-07142-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Application software.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Social sciences.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Sociophysics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Econophysics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Appl. in Social and Behavioral Sciences.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Socio- and Econophysics, Population and Evolutionary Models.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Methodology of the Social Sciences.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics in the Humanities and Social Sciences.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2213-8684
912 ## -
-- ZDB-2-SCS

No items available.