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Exponential random graph models for social networks :theories, methods, and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Exponential random graph models for social networks :editors, Dean Lusher, Johan Koskinen, Garry Robbins.
Reminder of title:	theories, methods, and applications /
other author:	Koskinen, Johan,
Description:	xxii, 336 pages :illustrations ;24 cm
Subject:	Social networksMathematical models.
ISBN:	9780521193566$q(hardback)

Exponential random graph models for social networks :theories, methods, and applications /
Exponential random graph models for social networks :theories, methods, and applications /editors, Dean Lusher, Johan Koskinen, Garry Robbins. - xxii, 336 pages :illustrations ;24 cm - Structural analysis in the social sciences ;35. - Structural analysis in the social sciences ;34..

Includes bibliographical references and index.

Introduction /Dean Lusher, Johan Koskinen and Garry Robins --1.

Single-user access.

"This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs), as well as a compendium of ERGM methods and illustrative applications"--

ISBN: 9780521193566$q(hardback)

Standard No.: 40021660676

LCCN: 2012021034

Nat. Bib. No.: GBB291219bnb

Nat. Bib. Agency Control No.: 016167984UkSubjects--Topical Terms:

192032
Social networks
--Mathematical models.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: HM741 / .E96 2012

Dewey Class. No.: 302.3

Exponential random graph models for social networks :theories, methods, and applications /
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050 0 0 $a HM741 $b .E96 2012
050 4 $a HM741 $b .E96 2013
082 0 4 $a 302.3 $2 23 $1 https://id.oclc.org/worldcat/ddc/E3JfV7RRjJj4mMHXgDBkxbPmVG
245 0 0 $a Exponential random graph models for social networks : $b theories, methods, and applications / $c editors, Dean Lusher, Johan Koskinen, Garry Robbins.
264 1 $a Cambridge ; $a New York : $b Cambridge University Press, $c 2013.
264 4 $c ©2013
300 $a xxii, 336 pages : $b illustrations ; $c 24 cm
336 $a text $b txt $2 rdacontent
337 $a unmediated $b n $2 rdamedia
338 $a volume $b nc $2 rdacarrier
340 $p illustration $0 http://rdaregistry.info/termList/IllusContent/1014 $2 rdaill
490 1 $a Structural analysis in the social sciences ; $v 35
504 $a Includes bibliographical references and index.
505 0 0 $g 1. $t Introduction / $r Dean Lusher, Johan Koskinen and Garry Robins -- $g 2, $t What are exponential random graph models / $r Garry Robins and Dean Lusher -- $g 3, $t The formation of social network structure / $r Dean Lusher and Garry Robins -- $g 4. $t Simplified account of exponential random graph model as a statistical model / $r Garry Robins and Dean Lusher -- $g 5, $t Example of exponential random graph model analysis / $r Dean Lusher and Garry Robins -- $g 6. $t Exponential random graph model fundamentals / $r Johan Koskinene and Galina Daragonova -- $g 7. $t Dependence graphs and sufficient statistics / $r Johan Koskinen and Galina Daragonova -- $g 8. $t Social selection, dyadic covariates, and geospatial effects / $r Garry Robins and Galina Daragonova -- $g 9. $t Autologistic actor attribute models / $r Galina Daragonova and Garry Robins -- $g 10. $t Exponential random graph model extensions: models for multiple networks and bipartite networks / $r Peng Wang -- $g 11. $t 10. Longitudinal models / $r Tom Snijders and Johan Koskinen -- $t g12. $t Simulation, estimation, and goodness of fit / $r Johan Koskinen and Tom Snijders -- $g 13. $t Illustrations: simulation, estimation and goodness of fit / $r Garry Robins and Dean Lusher -- $g 14. $t Personal attitudes, perceived attitudes, and social structures: a social selection model / $r Dean Lusher and Garry Robins -- $g 15. $t How to close a hole: exploring alternative closure mechanisms in interorganizational networks / $r Alessandro Lomi and Francesca Pallotti -- $g 16. $t Interdependencies between working relations: multivariate ERGMs for advice and satisfaction / $r Yu Zhao and Olaf Rank -- $g 16. $t Brain, brawn, or optimism?: structure and correlates of emergent military leadership / $r Yuval Kalish and Gil Luria -- $g 18. $t Autologistic actor attribute model analysis of unemployment: dual importance of who you know and where you live / $r Galina Daragonova and Pip Pattison -- $g 19. $t Longitudinal changes in face-to-face and text message-mediated friendship networks / $r Tasuku Igarashi -- $g 20. $t Differential impact of directors' social and financial capital on corporate interlock formation / $r Nicholas Harrigan and Matthew Bond -- $g 21. $t Comparing networks: a structural correspondence between behavioural and recall networks / $r Eric Quintane -- $g 22. $t Modeling social networks: next steps / $r Pip Pattison and Tom Snijders.
506 1 $a Single-user access.
520 $a "This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs), as well as a compendium of ERGM methods and illustrative applications"-- $c Provided by publisher.
520 $a "Exponential random graph models (ERGMs) are a class of statistical models for social networks. They account for the presence (and absence) of network ties and so provide a model for network structure. An ERGM models a given network in terms of small local tie-based structures, such as reciprocated ties and triangles. A social network can be thought of as being built up of these local patterns of ties, called network configurations xe "network configurations", which correspond to the parameters in the model. Moreover, these configurations can be considered to arise from local social processes, whereby actors in the network form connections in response to other ties in their social environment. ERGMs are a principled statistical approach to modeling social networks. They are theory-driven in that their use requires the researcher to consider the complex, intersecting and indeed potentially competing theoretical reasons why the social ties in the observed network have arisen. For instance, does a given network structure occur due to processes of homophily xe "actor-relation effects:homophily", xe "homophily" \t "see actor-relation effects" reciprocity xe "reciprocity", transitivity xe "transitivity", or indeed a combination of these? By including such parameters together in the one model a researcher can test these effects one against the other, and so infer the social processes that have built the network. Being a statistical model, an ERGM permits inferences about whether, in our network of interest, there are significantly more (or fewer) reciprocated ties, or triangles (for instance), than we would expect"-- $c Provided by publisher.
650 0 $a Social networks $x Mathematical models. $3 192032
650 0 $a Social networks $x Research $x Graphic methods. $3 1011152
650 6 $a Réseaux sociaux $x Modéles mathématiques. $3 1011158
650 6 $a Réseaux sociaux $x Recherche $0 (CaQQLa)201-0379425 $x Méthodes graphiques. $0 (CaQQLa)201-0379665 $3 1011159
650 7 $a SOCIAL SCIENCE $x Research. $2 bisacsh $3 566042
650 7 $a Social networks $x Mathematical models $v Congresses. $3 609672
650 7 $a Netzwerkanalyse $g Soziologie $2 gnd $3 1011155
650 7 $a Graphentheoretisches Modell $2 gnd $3 1011156
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Koskinen, Johan, $e author. $3 765755
700 1 $a Robins, Garry, $e author. $3 765761
700 1 $a Lusher, Dean, $e editor. $3 1011151
830 0 $a Structural analysis in the social sciences ; $v 34. $3 670963
938 $a Baker and Taylor $b BTCP $n BK0011539560
938 $a Dawson Books $b DAWN $n DAW24479222
938 $a YBP Library Services $b YANK $n 7653948
994 $a C0 $b TWNUK