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Multilevel network analysis for the social sciences[electronic resource] :theory, methods and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	300.151
書名/作者:	Multilevel network analysis for the social sciences : theory, methods and applications // edited by Emmanuel Lazega, Tom A.B. Snijders.
其他作者:	Lazega, Emmanuel.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	viii, 375 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Social sciences - Network analysis.
標題:	Social sciences - Methodology.
標題:	Social Sciences.
標題:	Methodology of the Social Sciences.
標題:	Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
標題:	Sociology, general.
ISBN:	9783319245201
ISBN:	9783319245188
摘要、提要註:	This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.
電子資源:	http://dx.doi.org/10.1007/978-3-319-24520-1

Multilevel network analysis for the social sciences[electronic resource] :theory, methods and applications /
Multilevel network analysis for the social sciencestheory, methods and applications /[electronic resource] :edited by Emmanuel Lazega, Tom A.B. Snijders. - Cham :Springer International Publishing :2016. - viii, 375 p. :ill., digital ;24 cm. - Methodos series ;v.12. - Methodos series ;v.5..

This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.

ISBN: 9783319245201

Standard No.: 10.1007/978-3-319-24520-1doiSubjects--Topical Terms:

418981
Social sciences
--Network analysis.

LC Class. No.: HM741 / .M858 2016

Dewey Class. No.: 300.151

Multilevel network analysis for the social sciences[electronic resource] :theory, methods and applications /
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