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Item Details
| Title:
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EXPONENTIAL RANDOM GRAPH MODELS FOR SOCIAL NETWORKS
THEORY, METHODS, AND APPLICATIONS |
| By: |
Dean Lusher (Editor), Johan Koskinen (Editor), Garry Robbins (Editor) |
| Format: |
Paperback |
| List price:
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£32.00 |
| Our price: |
£28.00 |
| Discount: |
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| You save:
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£4.00 |
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| ISBN 10: |
0521141389 |
| ISBN 13: |
9780521141383 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
Currently 0 available |
| Publisher: |
CAMBRIDGE UNIVERSITY PRESS |
| Pub. date: |
1 November, 2012 |
| Series: |
Structural Analysis in the Social Sciences 35 |
| Pages: |
360 |
| Description: |
This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs). |
| Synopsis: |
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. |
| Illustrations: |
71 b/w illus. |
| Publication: |
UK |
| Imprint: |
Cambridge University Press |
| Returns: |
Returnable |
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