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 |