Multilevel network analysis for the ...
Lazega, Emmanuel.

 

  • Multilevel network analysis for the social sciences[electronic resource] :theory, methods and applications /
  • 纪录类型: 书目-语言数据,印刷品 : Monograph/item
    [NT 15000414] null: 300.151
    [NT 47271] Title/Author: Multilevel network analysis for the social sciences : theory, methods and applications // edited by Emmanuel Lazega, Tom A.B. Snijders.
    [NT 51406] other author: Lazega, Emmanuel.
    出版者: Cham : : Springer International Publishing :, 2016.
    面页册数: viii, 375 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    标题: Social sciences - Network analysis.
    标题: Social sciences - Methodology.
    标题: Social Sciences.
    标题: Methodology of the Social Sciences.
    标题: Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
    标题: Sociology, general.
    ISBN: 9783319245201
    ISBN: 9783319245188
    [NT 15000229] null: 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.
    电子资源: http://dx.doi.org/10.1007/978-3-319-24520-1
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