Exponential random graph models for social networks: theory, methods, and applications
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 ER...
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| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2013
|
| Series: | Structural analysis in the social sciences
35 |
| Subjects: | |
| Online Access: | BSB01 UBG01 UBY01 Volltext |
| Summary: | 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 |
| Physical Description: | 1 Online-Ressource (xxii, 336 Seiten) Illustrationen, Diagramme |
| ISBN: | 9780511894701 |
| DOI: | 10.1017/CBO9780511894701 |
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| isbn | 9780511894701 |
| language | English |
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| series | Structural analysis in the social sciences |
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| spelling | Exponential random graph models for social networks theory, methods, and applications editors, Dean Lusher, Johan Koskinen, Garry Robbins Cambridge Cambridge University Press 2013 1 Online-Ressource (xxii, 336 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Structural analysis in the social sciences 35 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 Mathematisches Modell Social networks / Mathematical models Social networks / Research / Graphic methods Graphentheoretisches Modell (DE-588)4158055-2 gnd rswk-swf Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Netzwerkanalyse Soziologie (DE-588)4205975-6 s Graphentheoretisches Modell (DE-588)4158055-2 s DE-604 Lusher, Dean (DE-588)1023694352 edt Koskinen, Johan (DE-588)1164090321 edt Robins, Garry (DE-588)102038199X edt Erscheint auch als Druck-Ausgabe, Hardcover 978-0-521-19356-6 Erscheint auch als Druck-Ausgabe, Paperback 978-0-521-14138-3 Structural analysis in the social sciences 35 (DE-604)BV041241270 35 https://doi.org/10.1017/CBO9780511894701 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Exponential random graph models for social networks theory, methods, and applications Structural analysis in the social sciences Mathematisches Modell Social networks / Mathematical models Social networks / Research / Graphic methods Graphentheoretisches Modell (DE-588)4158055-2 gnd Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd |
| subject_GND | (DE-588)4158055-2 (DE-588)4205975-6 (DE-588)4143413-4 |
| title | Exponential random graph models for social networks theory, methods, and applications |
| title_auth | Exponential random graph models for social networks theory, methods, and applications |
| title_exact_search | Exponential random graph models for social networks theory, methods, and applications |
| title_full | Exponential random graph models for social networks theory, methods, and applications editors, Dean Lusher, Johan Koskinen, Garry Robbins |
| title_fullStr | Exponential random graph models for social networks theory, methods, and applications editors, Dean Lusher, Johan Koskinen, Garry Robbins |
| title_full_unstemmed | Exponential random graph models for social networks theory, methods, and applications editors, Dean Lusher, Johan Koskinen, Garry Robbins |
| title_short | Exponential random graph models for social networks |
| title_sort | exponential random graph models for social networks theory methods and applications |
| title_sub | theory, methods, and applications |
| topic | Mathematisches Modell Social networks / Mathematical models Social networks / Research / Graphic methods Graphentheoretisches Modell (DE-588)4158055-2 gnd Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd |
| topic_facet | Mathematisches Modell Social networks / Mathematical models Social networks / Research / Graphic methods Graphentheoretisches Modell Netzwerkanalyse Soziologie Aufsatzsammlung |
| url | https://doi.org/10.1017/CBO9780511894701 |
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