Social network analysis, Wasserman, Stanley Faust, Katherine

Автор: Edited by Peter J. Carrington
Название: Models and Methods in Social Network Analysis
ISBN: 0521600979 ISBN-13(EAN): 9780521600972
Издательство: Cambridge Academ
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Цена: 6868 р.
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Описание: Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust’s Social Network Analysis: Methods and Applications, it is a collection of original articles by leading methodologists reviewing recent advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or ‘two-mode’ networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Автор: Wouter de Nooy
Название: Exploratory Social Network Analysis with Pajek
ISBN: 0521602629 ISBN-13(EAN): 9780521602624
Издательство: Cambridge Academ
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Цена: 4337 р.
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Описание: The first textbook on social network analysis integrating theory, applications, and professional software.

Автор: Edited by Peter J. Carrington
Название: Models and Methods in Social Network Analysis
ISBN: 0521809592 ISBN-13(EAN): 9780521809597
Издательство: Cambridge Academ
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Цена: 13016 р.
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Описание: Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust’s Social Network Analysis: Methods and Applications, it is a collection of original articles by leading methodologists reviewing recent advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or ‘two-mode’ networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Автор: Scott John
Название: Sage Handbook of Social Network Analysis
ISBN: 1847873952 ISBN-13(EAN): 9781847873958
Издательство: Sage Publications
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Цена: 22597 р.
Наличие на складе: Поставка под заказ.

Описание: Instead of consulting a variety of books and journal articles, this Handbook, edited by genuine leaders in the field, is a one-stop guide to social network analysis that will be used by readers for decades to come.

Автор: Prell Christina
Название: Social Network Analysis
ISBN: 1412947154 ISBN-13(EAN): 9781412947152
Издательство: Sage Publications
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Цена: 7410 р.
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Описание: Divided into sections: Historical & Background Concepts; Levels of Analysis; and, Advances, Extensions and Conclusions, this book offers an overview of the field - historical origins, common theoretical perspectives and frameworks; traditional and analytical procedures and fundamental mathematical equations needed to get a foothold in the field.

Автор: de Nooy
Название: Exploratory Social Network Analysis with Pajek
ISBN: 1107002389 ISBN-13(EAN): 9781107002388
Издательство: Cambridge Academ
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Цена: 15364 р.
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Описание: Expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek.

Автор: Yang Song, Keller Franziska Barbara, Zheng Lu
Название: Social Network Analysis: Methods and Examples
ISBN: 1483325210 ISBN-13(EAN): 9781483325217
Издательство: Sage Publications
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Цена: 8675 р.
Наличие на складе: Невозможна поставка.

Описание: This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organisations, mental and physical health, and crime and terrorism studies.

Автор: Scott J
Название: Social Network Analysis: Fourth Edition
ISBN: 1473952123 ISBN-13(EAN): 9781473952126
Издательство: Sage Publications
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Цена: 6687 р.
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Описание: Incorporating the most important and cutting-edge developments in the field, this bestselling text introduces newcomers to the key theories and techniques of social network analysis and guides more experienced analysts in their own research. New to This Edition: A chapter on data collection, covering a crucial phase of the research process Fully updated examples reiterate the continued importance of social network analysis in an increasingly interconnected world Detailed ‘Further Reading’ sections help you explore the wider literature Practical exercises including real-world examples of social networks enable you to apply your learning Expanded and brought right up-to-date, this classic text remains the indispensable guide to social network analysis for students, lecturers and researchers throughout the social sciences.

Автор: Prell C
Название: Social Network Analysis
ISBN: 1412947146 ISBN-13(EAN): 9781412947145
Издательство: Sage Publications
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Цена: 21512 р.
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Описание: Appropriate for beginners and established researchers the book represents SNA in its entirety; as theory as well as method - and is carefully supported by up-to-date statistical models.

Автор: Scott J
Название: Social Network Analysis: Second Edition
ISBN: 0761963391 ISBN-13(EAN): 9780761963394
Издательство: Sage Publications
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Цена: 3614 р.
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Автор: Box-Steffensmeier
Название: Time Series Analysis for the Social Sciences
ISBN: 0521691559 ISBN-13(EAN): 9780521691550
Издательство: Cambridge Academ
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Цена: 4518 р.
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Описание: Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.

Автор: Darmofal
Название: Spatial Analysis for the Social Sciences
ISBN: 0521716381 ISBN-13(EAN): 9780521716383
Издательство: Cambridge Academ
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Цена: 4518 р.
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Описание: Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis for the Social Sciences demonstrates how researchers can diagnose and model this spatial dependence and draw more valid inferences as a result. The book is structured around the well-known Galton's problem and presents a step-by-step guide to the application of spatial analysis. The book examines a variety of spatial diagnostics and models through a series of applied examples drawn from the social sciences. These include spatial lag models that capture behavioral diffusion between actors, spatial error models that account for spatial dependence in errors, and models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced spatial models for time-series cross-sectional data, categorical and limited dependent variables, count data, and survival data.