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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Inferential network analysis/ (Record no. 428312)

MARC details
000 -LEADER
fixed length control field 02300 a2200253 4500
003 - CONTROL NUMBER IDENTIFIER
control field ISI Library, Kolkata
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240910111004.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211223b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781316610855
040 ## - CATALOGING SOURCE
Original cataloging agency ISI Library
Language of cataloging English
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 302.40727
Item number C891
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Cranmer, Skyler J.
Relator term author
245 10 - TITLE STATEMENT
Title Inferential network analysis/
Statement of responsibility, etc Skyler J. Cranmer, Bruce A. Desmarais and Jason W. Morgan
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc United Kingdom:
Name of publisher, distributor, etc CUP,
Date of publication, distribution, etc 2021
300 ## - PHYSICAL DESCRIPTION
Extent xxiii, 291 pages,
Dimensions 22.5 cm.
490 0# - SERIES STATEMENT
Series statement Analytical Methods for Social Research
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part I Dependence and interdependence -- 1. Promises and pitfalls of inferential network analysis -- 2. Detecting and adjusting for network dependencies -- Part II The Family of exponential random graph models (ERGMS) -- 3. The Basic ERGM -- ERGM specification -- 5. Estimation and degeneracy -- 6. ERG type models for longitudinally observed networks -- 7. Valued-Edge ERGMs: the generalised ERGM (GERGM) -- Part III Latent space network models -- 8. The Basic latent space model -- 9. Identification estimation and interpretation of the latent space model -- 10. Extending the latent space model
520 ## - SUMMARY, ETC.
Summary, etc This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses.
650 #5 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Network Analysis
General subdivision Social Science
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Desmarais, Bruce A.
Relator term author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Morgan, Jason
Relator term author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Lost status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Koha item type
    ISI Library, Kolkata ISI Library, Kolkata 10/12/2021 4 3581.28 302.40727 C891 138522 Books
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in