A survey of statistical network models (Record no. 392382)

MARC details
000 -LEADER
fixed length control field 04100nam a2200541 a 4500
001 - CONTROL NUMBER
control field 612200000005
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m e 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 100302s2010 maua fsab 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781601983213 (electronic)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781601983206 (print)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1561/2200000005
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNvSL
Transcribing agency CaBNvSL
Modifying agency CaBNvSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK5105.5
Item number .S877 2010
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA402
Item number .S877 2010
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.6
Edition number 22
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNvSL)slc00223919
245 02 - TITLE STATEMENT
Title A survey of statistical network models
Medium [electronic resource] /
Statement of responsibility, etc. Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg and Edoardo M. Airoldi.
246 30 - VARYING FORM OF TITLE
Title proper/short title Statistical network models.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Hanover, Mass. :
Name of publisher, distributor, etc. Now Publishers,
Date of publication, distribution, etc. c2010.
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic text (p. [129]-233 : ill. (some col.)) :
Other physical details digital file.
490 1# - SERIES STATEMENT
Series statement Foundations and trends in machine learning,
International Standard Serial Number 1935-8245 ;
Volume/sequential designation v. 2, issue 2, p. 129-233
500 ## - GENERAL NOTE
General note Title from PDF (viewed on March 2, 2010).
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (p. 212-233).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 2. Motivation and data-set examples -- 3. Static network models -- 4. Dynamic models for longitudinal data -- 5. Issues in network modeling -- 6. Summary -- Acknowledgments -- References.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Google Scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google Book Search
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Scopus
510 0# - CITATION/REFERENCES NOTE
Name of source ACM Computing Guide
510 0# - CITATION/REFERENCES NOTE
Name of source DBPLP Computer Science Bibliography
510 0# - CITATION/REFERENCES NOTE
Name of source Zentralblatt MATH Database
510 0# - CITATION/REFERENCES NOTE
Name of source AMS MathSciNet
510 0# - CITATION/REFERENCES NOTE
Name of source ACM Computing Reviews
520 ## - SUMMARY, ETC.
Summary, etc. Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active "network community" and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. The growth of the World Wide Web and the emergence of online "networking communities" such as Facebook, MySpace, and LinkedIn, and a host of more specialized professional network communities has intensified interest in the study of networks and network data. Our goal in this review is to provide the reader with an entry point to this burgeoning literature. We begin with an overview of the historical development of statistical network modeling and then we introduce a number of examples that have been studied in the network literature. Our subsequent discussion focuses on a number of prominent static and dynamic network models and their interconnections. We emphasize formal model descriptions, and pay special attention to the interpretation of parameters and their estimation. We end with a description of some open problems and challenges for machine learning and statistics.
524 ## - PREFERRED CITATION OF DESCRIBED MATERIALS NOTE
Preferred citation of described materials note Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg and Edoardo M. Airoldi (2009) "A Survey of Statistical Network Models", Foundations and Trends in Machine Learning: Vol. 2: No 2, pp 129-233.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks
General subdivision Statistical methods.
9 (RLIN) 24949
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Network computers
General subdivision Statistical methods.
9 (RLIN) 24948
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element System analysis
General subdivision Statistical methods.
9 (RLIN) 95613
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
9 (RLIN) 2712
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Goldenberg, Anna.
9 (RLIN) 95614
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Foundations and trends in machine learning (Online),
International Standard Serial Number 1935-8245 ;
Volume number/sequential designation v. 2, issue 2, p. 129-233.
9 (RLIN) 95615
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to full text:
Uniform Resource Identifier <a href="http://dx.doi.org/10.1561/2200000005">http://dx.doi.org/10.1561/2200000005</a>
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Not Lost     EBook e-Library e-Library 26/06/2020   26/06/2020 26/06/2020 eBook

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