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Information and influence propagation in social networks / (Record no. 562033)

000 -LEADER
fixed length control field 07170nam a2200829 i 4500
001 - CONTROL NUMBER
control field 6812846
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152912.0
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 131113s2014 caua foab 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781627051163
Qualifying information ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781627051156
Qualifying information paperback
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00527ED1V01Y201308DTM037
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)swl00402944
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)862937428
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HM742
Item number .C445 2014
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.754
Edition number 23
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR)
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) MoCl
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chen, Wei.,
Relator term author.
245 10 - TITLE STATEMENT
Title Information and influence propagation in social networks /
Statement of responsibility, etc. Wei Chen, Laks V.S. Lakshmanan, Carlos Castillo.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Name of producer, publisher, distributor, manufacturer Morgan & Claypool,
Date of production, publication, distribution, manufacture, or copyright notice 2014.
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xv, 161 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on data management,
International Standard Serial Number 2153-5426 ;
Volume/sequential designation # 37
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 (pages 143-155) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 1.1 Social networks and social influence -- 1.1.1 Examples of social networks -- 1.1.2 Examples of information propagation -- 1.2 Social influence examples -- 1.3 Social influence analysis applications -- 1.4 The flip side -- 1.5 Outline of this book --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Stochastic diffusion models -- 2.1 Main progressive models -- 2.1.1 Independent cascade model -- 2.1.2 Linear threshold model -- 2.1.3 Submodularity and monotonicity of influence spread function -- 2.1.4 General threshold model and general cascade model -- 2.2 Other related models -- 2.2.1 Epidemic models -- 2.2.2 Voter model -- 2.2.3 Markov random field model -- 2.2.4 Percolation theory --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Influence maximization -- 3.1 Complexity of influence maximization -- 3.2 Greedy approach to influence maximization -- 3.2.1 Greedy algorithm for influence maximization -- 3.2.2 Empirical evaluation of (G,k) -- 3.3 Scalable influence maximization -- 3.3.1 Reducing the number of influence spread evaluations -- 3.3.2 Speeding up influence computation -- 3.3.3 Other scalable influence maximization schemes --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Extensions to diffusion modeling and influence maximization -- 4.1 A data-based approach to influence maximization -- 4.2 Competitive influence modeling and maximization -- 4.2.1 Model extensions for competitive influence diffusion -- 4.2.2 Maximization problems for competitive influence diffusion -- 4.2.3 Endogenous competition -- 4.2.4 A new frontier, the host perspective -- 4.3 Influence, adoption, and profit -- 4.3.1 Influence vs. adoption -- 4.3.2 Influence vs. profit -- 4.4 Other extensions --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Learning propagation models -- 5.1 Basic models -- 5.2 IC model -- 5.3 Threshold models -- 5.3.1 Static models -- 5.3.2 Does influence remain static? -- 5.3.3 Continuous time models -- 5.3.4 Discrete time models -- 5.3.5 Are all objects equally influence prone? -- 5.3.6 Algorithms -- 5.3.7 Experimental validation -- 5.3.8 Discussion --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Data and software for information/influence: propagation research -- 6.1 Types of datasets -- 6.2 Propagation of information "memes" -- 6.2.1 Microblogging -- 6.2.2 Newspapers/blogs/etc. -- 6.3 Propagation of other actions -- 6.3.1 Consumption/appraisal platforms -- 6.3.2 User-generated content sharing/voting -- 6.3.3 Community membership as action -- 6.3.4 Cross-provider data -- 6.3.5 Phone logs -- 6.4 Network-only datasets -- 6.4.1 Citation networks -- 6.4.2 Other networks -- 6.5 Other off-line datasets -- 6.6 Publishing your own datasets -- 6.7 Software tools -- 6.7.1 Graph software tools -- 6.7.2 Propagation software tools -- 6.7.3 Visualization -- 6.8 Conclusions --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7. Conclusion and challenges -- 7.1 Application-specific challenges -- 7.1.1 Prove value for advertising/marketing -- 7.1.2 Learn to design for virality -- 7.1.3 Correct for sampling biases -- 7.1.4 Contribute to other applications -- 7.2 Technical challenges -- 7.3 Conclusions --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note A. Notational conventions -- 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. Research on social networks has exploded over the last decade. To a large extent, this has been fueled by the spectacular growth of social media and online social networking sites, which continue growing at a very fast pace, as well as by the increasing availability of very large social network datasets for purposes of research. A rich body of this research has been devoted to the analysis of the propagation of information, influence, innovations, infections, practices and customs through networks. Can we build models to explain the way these propagations occur? How can we validate our models against any available real datasets consisting of a social network and propagation traces that occurred in the past? These are just some questions studied by researchers in this area. Information propagation models find applications in viral marketing, outbreak detection, finding key blog posts to read in order to catch important stories, finding leaders or trendsetters, information feed ranking, etc. A number of algorithmic problems arising in these applications have been abstracted and studied extensively by researchers under the garb of influence maximization.
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 title page (viewed on November 13, 2013).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Online social networks.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social influence
General subdivision Mathematical models.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social networks
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social influence
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term information and influence diffusion
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term stochastic diffusion models
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term influence maximization
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term learning of propagation models
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term viral marketing
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term competitive influence diffusion
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term game theory
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term computational complexity
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term approximation algorithms
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term heuristic algorithms
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term scalability
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lakshmanan, Laks V. S.,
Dates associated with a name 1959-,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Castillo, Carlos,
Dates associated with a name 1977-,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781627051156
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 management ;
Volume/sequential designation # 37.
International Standard Serial Number 2153-5426
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/servlet/opac?bknumber=6812846
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to full text
Uniform Resource Identifier http://dx.doi.org/10.2200/S00527ED1V01Y201308DTM037
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 EBKE533 2020-04-13 2020-04-13 E books

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