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 |