Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications - Rilegato
Libro 14 di 30: Structural Analysis in the Social Sciences
Sinossi
This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sugli autori
Dr Dean Lusher is Lecturer in Sociology at Swinburne University of Technology. He works closely with leading methodologists to develop an intuitive understanding of exponential graph models, how they link to broader network theory, and how to fit them to real-life data. His research applications are directed at issues of social norms and social hierarchies.
Dr Johan Koskinen is Lecturer in Social Sciences at the University of Manchester. He is a statistician working with statistical modeling and inference. Focusing on social network data, Dr Koskinen deals with generative models for different types of structures, such as longitudinal network data, networks nested in multilevel structures, and multilevel networks classified by affiliations.
Garry Robins is Professor in the School of Psychological Sciences at the University of Melbourne. Robins is a mathematical psychologist whose research deals with quantitative and statistical models for social and relational systems. His research has won international awards from the Psychometric Society, the American Psychological Association, and the International Network for Social Network Analysis.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications (Structural Analysis in the Social Sciences, Series Number 35)
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Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications (Structural Analysis in the Social Sciences, Series Number 35)
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Exponential Random Graph Models for Social Networks: Theories, Methods, and Applications
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Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications: 35 (Structural Analysis in the Social Sciences, Series Number 35)
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Condizione: New. This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs). Editor(s): Lusher, Dean; Koskinen, Johan; Robbins, Garry. Series: Structural Analysis in the Social Sciences. Num Pages: 352 pages, 71 b/w illus. BIC Classification: JHBC; PBT. Category: (U) Tertiary Education (US: College). Dimension: 152 x 236 x 25. Weight in Grams: 610. . 2013. Illustrated. hardcover. . . . . Codice articolo V9780521193566
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Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications
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Exponential Random Graph Models for Social Networks
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Cambridge University Press CUP, 2012
ISBN 10: 0521193567
ISBN 13: 9780521193566
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Condizione: New. pp. 292. Codice articolo 2642158830
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Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications: 35 (Structural Analysis in the Social Sciences, Series Number 35)
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Condizione: New. This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs). Editor(s): Lusher, Dean; Koskinen, Johan; Robbins, Garry. Series: Structural Analysis in the Social Sciences. Num Pages: 352 pages, 71 b/w illus. BIC Classification: JHBC; PBT. Category: (U) Tertiary Education (US: College). Dimension: 152 x 236 x 25. Weight in Grams: 610. . 2013. Illustrated. hardcover. . . . . Books ship from the US and Ireland. Codice articolo V9780521193566
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Exponential Random Graph Models for Social Networks
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Condizione: New. Print on Demand pp. 292 71 Illus. Codice articolo 49607985
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Exponential Random Graph Models for Social Networks
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Condizione: New. PRINT ON DEMAND pp. 292. Codice articolo 1842158820
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Exponential Random Graph Models for Social Networks (Hardcover)
Editore:
Cambridge University Press, Cambridge, 2012
ISBN 10: 0521193567
ISBN 13: 9780521193566
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Hardcover. Condizione: new. Hardcover. 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. 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. The reader is given sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521193566
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