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Semantic mining of social networks / (Record no. 562132)

000 -LEADER
fixed length control field 07707nam a2200949 i 4500
001 - CONTROL NUMBER
control field 7110053
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152917.0
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 150520s2015 caua foab 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781608458585
Qualifying information ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781608458578
Qualifying information print
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00629ED1V01Y201502WBE011
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)swl00405028
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)909652748
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 .T257 2015
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 302.30285
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tang, Jie
Titles and words associated with a name (Computer scientist),
Relator term author.
245 10 - TITLE STATEMENT
Title Semantic mining of social networks /
Statement of responsibility, etc. Jie Tang and Juanzi Li.
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 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xi, 193 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 the semantic web, theory and technology,
International Standard Serial Number 2160-472X ;
Volume/sequential designation # 11
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.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 177-191).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 1.1 Background -- 1.1.1 Social theories -- 1.1.2 Social tie analysis -- 1.1.3 Social influence analysis -- 1.1.4 User modeling and actions -- 1.1.5 Graphical models -- 1.2 Book outline --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Social tie analysis -- 2.1 Overview -- 2.2 Predicting missing links -- 2.2.1 Similarity metrics -- 2.2.2 Matrix factorization -- 2.3 Inferring social ties -- 2.3.1 Problem formulation -- 2.3.2 Unsupervised learning to infer social ties -- 2.3.3 Supervised learning to infer social ties -- 2.3.4 Actively learning to infer social ties -- 2.3.5 Inferring social ties across heterogeneous networks -- 2.4 Conclusions --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Social influence analysis -- 3.1 Overview -- 3.2 Mining topic-level social influence analysis -- 3.2.1 Topical affinity propagation -- 3.2.2 Dynamic social influence analysis -- 3.2.3 Model application -- 3.2.4 Experimental results -- 3.2.5 Summary -- 3.3 Mining topic-level influence from heterogeneous networks -- 3.3.1 The approach framework -- 3.3.2 Influence propagation and aggregation -- 3.3.3 Conservative and non-conservative propagation -- 3.3.4 User behavior prediction -- 3.3.5 Evaluation -- 3.3.6 Summary -- 3.4 Conclusions --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. User behavior modeling and prediction -- 4.1 Overview -- 4.2 Approach framework for social action prediction -- 4.2.1 Model learning -- 4.3 Evaluation -- 4.3.1 Evaluation metrics -- 4.3.2 Prediction performance -- 4.3.3 Efficiency performance -- 4.3.4 Qualitative case study -- 4.4 Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. ArnetMiner: deep mining for academic social networks -- 5.1 Overview -- 5.2 Researcher profile extraction -- 5.2.1 A unified approach to profiling -- 5.2.2 Profile extraction performance -- 5.3 Name disambiguation -- 5.3.1 A unified probabilistic framework -- 5.3.2 Name disambiguation performance -- 5.4 Topic modeling -- 5.4.1 Our proposed topic models -- 5.5 Expertise search -- 5.5.1 Data sets and evaluation measures -- 5.5.2 Results -- 5.6 Academic social network mining -- 5.6.1 Mining advisor-advisee relationships -- 5.6.2 Measuring academic influence -- 5.6.3 Modeling researcher interests -- 5.7 Conclusions --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Research frontiers -- A. Resources -- Software -- Data sets -- Bibliography -- Authors' biographies.
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. Online social networks have already become a bridge connecting our physical daily life with the (web-based) information space. This connection produces a huge volume of data, not only about the information itself, but also about user behavior. The ubiquity of the social Web and the wealth of social data offer us unprecedented opportunities for studying the interaction patterns among users so as to understand the dynamic mechanisms underlying different networks, something that was previously difficult to explore due to the lack of available data. In this book, we present the architecture of the research for social network mining, from a microscopic point of view. We focus on investigating several key issues in social networks. Specifically, we begin with analytics of social interactions between users. The first kinds of questions we try to answer are: What are the fundamental factors that form the different categories of social ties? How have reciprocal relationships been developed from parasocial relationships? How do connected users further form groups? Another theme addressed in this book is the study of social influence. Social influence occurs when one's opinions, emotions, or behaviors are affected by others, intentionally or unintentionally. Considerable research has been conducted to verify the existence of social influence in various networks. However, few literature studies address how to quantify the strength of influence between users from different aspects. In Chapter 4 and in [138], we have studied how to model and predict user behaviors. One fundamental problem is distinguishing the effects of different social factors such as social influence, homophily, and individual's characteristics. We introduce a probabilistic model to address this problem. Finally, we use an academic social network, ArnetMiner, as an example to demonstrate how we apply the introduced technologies for mining real social networks. In this system, we try to mine knowledge from both the informative (publication) network and the social (collaboration) network, and to understand the interaction mechanisms between the two networks. The system has been in operation since 2006 and has already attracted millions of users from more than 220 countries/regions.
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 May 20, 2015).
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 Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Semantic Web.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social tie
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term strong/weak ties
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term parasocial interactions
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term reciprocity
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social influence
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term collective classification
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term graphical model
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social network analysis
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social relationship
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term relationship mining
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term link prediction
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term influence maximization
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term network centrality
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term user modeling
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social action
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social theories
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social balance
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term social status
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term triadic closure
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term factor graph
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term influence propagation
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term conservative influence propagation
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term nonconservative influence propagation
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term user behaviour prediction
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term profile extraction
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term expert finding
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term name disambiguation
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term ArnetMiner
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Juanzi.,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781608458578
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 the semantic web, theory and technology ;
Volume/sequential designation # 11.
International Standard Serial Number 2160-472X
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/servlet/opac?bknumber=7110053
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 EBKE632 2020-04-13 2020-04-13 E books

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