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Community detection and mining in social media (Record no. 561775)

000 -LEADER
fixed length control field 06306nam a2200793 i 4500
001 - CONTROL NUMBER
control field 6813302
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152858.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100913s2010 caua foab 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781608453559 (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781608453542 (pbk.)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00298ED1V01Y201009DMK003
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)gtp00543524
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)664596184
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HM742
Item number .T253 2010
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.754
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tang, Lei.
245 10 - TITLE STATEMENT
Title Community detection and mining in social media
Medium [electronic resource] /
Statement of responsibility, etc. Lei Tang, Huan Liu.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Name of publisher, distributor, etc. Morgan & Claypool,
Date of publication, distribution, etc. c2010.
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic text (xi, 123 p. : ill.) :
Other physical details digital file.
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on data mining and knowledge discovery,
International Standard Serial Number 2151-0075 ;
Volume/sequential designation # 3
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
500 ## - GENERAL NOTE
General note Series from website.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. 105-115) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Acknowledgments -- 1. Social media and social computing -- Social media -- Concepts and definitions -- Networks and representations -- Properties of large-scale networks -- Challenges -- Social computing tasks -- Network modeling -- Centrality analysis and influence modeling -- Community detection -- Classification and recommendation -- Privacy, spam and security -- Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Nodes, ties, and influence -- Importance of nodes -- Strengths of ties -- Learning from network topology -- Learning from user attributes and interactions -- Learning from sequence of user activities -- Influence modeling -- Linear threshold model (LTM) -- Independent cascade model (ICM) -- Influence maximization -- Distinguishing influence and correlation --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Community detection and evaluation -- Node-centric community detection -- Complete mutuality -- Reachability -- Group-centric community detection -- Network-centric community detection -- Vertex similarity -- Latent space models -- Block model approximation -- Spectral clustering -- Modularity maximization -- A unified process -- Hierarchy-centric community detection -- Divisive hierarchical clustering -- Agglomerative hierarchical clustering -- Community evaluation --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Communities in heterogeneous networks -- Heterogeneous networks -- Multi-dimensional networks -- Network integration -- Utility integration -- Feature integration -- Partition integration -- Multi-mode networks -- Co-clustering on two-mode networks -- Generalization to multi-mode networks --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Social media mining -- Evolution patterns in social media -- A naive approach to studying community evolution -- Community evolution in smoothly evolving networks -- Segment-based clustering with evolving networks -- Classification with network data -- Collective classification -- Community-based learning -- Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note A. Data collection -- B. Computing betweenness -- C. K-means clustering -- Bibliography -- Authors' biographies -- Index.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
520 3# - SUMMARY, ETC.
Summary, etc. The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly imaginable just a short time ago. Social media also helps reshape business models, sway opinions and emotions, and opens up numerous possibilities to study human interaction and collective behavior in an unparalleled scale.This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular,we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. This book is an accessible introduction to the study of community detection and mining in social media. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF t.p. (viewed on September 13, 2010).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social media.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Web usage mining.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social media
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term community detection
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social media mining
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term centrality analysis
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term strength of ties
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term influence modeling
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term information diffusion
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term influence maximization
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term correlation
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term homophily
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term influence
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term community evaluation
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term heterogeneous networks
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term multi-dimensional networks
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term multi-mode networks
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term community evolution
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term collective classification
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social dimension
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term behavioral study
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Liu, Huan.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on data mining and knowledge discovery,
International Standard Serial Number 2151-0075 ;
Volume/sequential designation # 3.
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/servlet/opac?bknumber=6813302
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2020-04-13 EBKE275 2020-04-13 2020-04-13 E books

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