Online Social Media Analysis and Visualization (Record no. 53024)

000 -LEADER
fixed length control field 03636nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-13590-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420221258.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150114s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319135908
-- 978-3-319-13590-8
082 04 - CLASSIFICATION NUMBER
Call Number 004
245 10 - TITLE STATEMENT
Title Online Social Media Analysis and Visualization
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 233 p. 94 illus., 76 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Social Networks,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Identifying Event-Specific Sources from Social Media -- Demographic and Psychographic Estimation of Twitter Users Using Social Structures -- Say It with Colors: Language-Independent Gender Classification on Twitter -- TUCAN: Twitter User Centric Analyzer -- Evaluating Important Factors and Effective Models for Twitter Trend Prediction -- Rings: a Visualization Mechanism to Enhance the User Awareness on Social Networks -- Friends and Circles - A Design Study for Contact Management in Egocentric Online Social Networks -- Genetically Optimized Realistic Social Network Topology Inspired by Facebook -- A Workbench for Visual Design of Executable and Re-usable Network Analysis Workflows -- On the Usage of Network Visualization for Multiagent System Verification.
520 ## - SUMMARY, ETC.
Summary, etc This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techniques, or both, for famous OSM applications such as Twitter and Facebook. This collection of contributed chapters address these challenges. Online Social Media has become part of the daily lives of hundreds of millions of users generating an immense amount of 'social content'. Addressing the challenges that stem from this wide adaptation of OSM is what makes this book a valuable contribution to the field of social networks.
700 1# - AUTHOR 2
Author 2 Kawash, Jalal.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-13590-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
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-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Application software.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Physics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics.
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
-- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Complex Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2190-5428
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-- ZDB-2-SCS

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