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Exponential Random Graph Models for Social Networks - Theory, Methods, and Applications (Hardcover, New) Loot Price: R2,297

Discovery Miles 22 970

Repayment Terms: R215 pm x 12*

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Exponential Random Graph Models for Social Networks - Theory, Methods, and Applications (Hardcover, New): Dean Lusher, Johan...

Exponential Random Graph Models for Social Networks - Theory, Methods, and Applications (Hardcover, New)

Dean Lusher, Johan Koskinen, Garry Robins

Series: Structural Analysis in the Social Sciences

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Loot Price R2,297 Discovery Miles 22 970 | Repayment Terms: R215 pm x 12*

Expected to ship within 12 - 17 working days

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Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Structural Analysis in the Social Sciences
Release date:	November 2012
First published:	December 2012
Editors:	Dean Lusher • Johan Koskinen • Garry Robins
Dimensions:	235 x 158 x 23mm (L x W x T)
Format:	Hardcover
Pages:	352
Edition:	New
ISBN-13:	978-0-521-19356-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General Promotions
LSN:	0-521-19356-7
Barcode:	9780521193566