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 |