ISBN:
9783319245201
Language:
English
Pages:
Online-Ressource (VIII, 375 p. 65 illus., 41 illus. in color, online resource)
Edition:
1st ed. 2016
Series Statement:
Methodos Series, Methodological Prospects in the Social Sciences 12
Series Statement:
SpringerLink
Series Statement:
Bücher
Parallel Title:
Druckausg. Multilevel network analysis for the social sciences
DDC:
301.01
Keywords:
Social sciences
;
Social Sciences
;
Statistics
;
Sociology
;
Social sciences
;
Statistics
;
Sociology
;
Aufsatzsammlung
;
Netzwerkanalyse
Abstract:
1: Introduction: Tom A.B. Snijders, Emmanuel Lazega, and Mark Tranmer -- Part I: THEORY: 2: The Multiple Flavours of Multilevel Issues for Networks: Tom A.B. Snijders -- 3: Neo-structural sociology, social change and dynamics of multilevel structures in the organizational society: Emmanuel Lazega -- PART II: METHODS: 4: Multilevel Modeling of Social Network and Relational Data: Marijtje A.J. van Duijn -- 5: Multilevel Models for Multilevel Network Dependencies: Mark Tranmer -- 6: Exponential random graph models for multilevel networks: Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega -- 7: Social selection models for multilevel networks: Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega, Marie-Thérèse Jourda -- 8: Blockmodeling of multilevel network data: Aleš Žiberna -- 9: Correspondence Analysis of Multilevel Networks: Mengxiao Zhu, Stanley Wasserman -- 10: Multi-Level Network Analysis from The Duality of Cases and Variables: Ronald L. Breiger -- 11: Multi-splitting large networks for multi-level analysis: Christophe Prieur -- PART III: APPLICATIONS: 12: Experience sampling across organizational levels: Paola Zappa and Alessandro Lomi -- 13: Social integration of gifted students among their classmates: Miranda Jessica Lubbers -- 14:The impact of network position and team structure on individual outcomes: using a multilevel model with an autocorrelation component to predict individual (employee) job satisfaction: Filip Agneessens, Johan Koskinen -- 15: Small fish in big ponds: The structure of international fisheries agreements: James Hollway, Johan Koskinen -- 16: Dynamic interlocks and multilevel analysis in European corporate elites: François-Xavier Dudouet and Antoine Vion -- 17: Comparing fields of sciences: the network of collaborations of physicists and philosophers: Elisa Bellotti -- 18: Connecting and dissecting collective agency in community: applying a multi-level relational approach to the study of community infrastructure and collective action in two Manchester neighbourhoods: Beth Carley -- 19: Multilevel alignments between interactions and relations over different time frames: Implications for group innovativeness: Eric Quintane -- 20: A Multilevel network study of the Biotech industry in France: Alvaro Pina-Stranger, Ana Maria Falconi, Emmanuel Lazega -- 21: Economic exchange vs. social exchange: A Multilevel approach of a trade fair for TV programs in Africa: Guillaume Favre, Julien Brailly, Josiane Chatellet, Emmanuel Lazega -- 22 : Exponential Random Graph Models for a MultiLevel Network – A Case Study of the Audiovisual Market in Eastern Europe: Julien Brailly, Guillaume Favre, Josiane Chatellet, Emmanuel Lazega.
Abstract:
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.
Description / Table of Contents:
Acknowledgments; Contents; 1 Introduction; Theory; Methods; Applications; References; Part I Theory; 2 The Multiple Flavours of Multilevel Issues for Networks; Away from Atomistic Approaches; Multilevel Analysis; Origins; Hierarchical Linear Model; Non-nested Data Structures; Frequentist and Bayesian Estimation; What Is a Level?; Dependent Variables at Any Level; Models for Social Networks; The Basic Multilevel Nature of Social Network Analysis; p2 Model; Latent Space Models; Exponential Random Graph Models; Stochastic Actor-Oriented Models; Choice of Model; Multilevel Network Analysis
Description / Table of Contents:
Why Combine Several `Parallel' Networks?Two-Step Meta-for-Multilevel Network Analysis; Integrated Multilevel Network Analysis; Hierarchical Structures; Analysis of Multilevel Networks; Exponential Random Graph Models for Multilevel Networks; Stochastic Actor-Oriented Models for Multilevel Networks; A Forward Look; References; 3 Synchronization Costs in the Organizational Society: Intermediary Relational Infrastructures in the Dynamics of Multilevel Networks; The Meso Level in Organizational Societies, Relational Infrastructure and Synchronization Costs
Description / Table of Contents:
Multilevel Networks of Collective Action and Intermediary-Level Relational InfrastructureSynchronization of Temporalities Within and Across Different Levels of Collective Agency; Multilevel Structures: Superposed Levels of Collective Agency; An Empirical Case of Co-constitution Without Conflation; Affiliations, Overlaps and Fish/Pond Relative Status; Relational Strategies in Cross-Level Interdependencies; Overlaps, Relational Infrastructures, Entrapment or Emancipation; Dual Opportunity Structures, Asynchronies and "Emergence"
Description / Table of Contents:
Emergent Corporate Entities: The Energy for/from Organized Mobility and Relational TurnoverFrom Place to Position to a New System of Places: A Spinning Top Model of Synchronization Benefits in Collective Learning; Dynamics of Multilevel Networks, Synchronization Costs and Social Inequalities; References; Part II Methods; 4 Modeling Individual Outcomes Using a Multilevel Social Influence (MSI) Model: Individual Versus Team Effects of Trust on Job Satisfaction in an Organisational Context; Introduction and General Context
Description / Table of Contents:
The Multilevel Social Influence (MSI) Arguments: Individual Network Position and Network StructureIndividual Network Position; Centrality; Structural Holes/Brokerage; Resourcefulness of Ego's Connections; Heterogeneity Among Ego's Connections; Homophily/Heterophily on an Independent Characteristic; Network Level Structure; Cohesion; Centralization; Fragmentation; Why Use Multilevel Social Influence?; Find Persistent Results Over Groups; Wrongly Assume that it is Individual Effect When it is a Group Effect; Effects are Different in Different Situations - Cross-Level Interactions
Description / Table of Contents:
Trust Networks on Employee Job Satisfaction: An Example
Description / Table of Contents:
1: Introduction: Tom A.B. Snijders, Emmanuel Lazega, and Mark TranmerPart I: THEORY: 2: The Multiple Flavours of Multilevel Issues for Networks: Tom A.B. Snijders -- 3: Neo-structural sociology, social change and dynamics of multilevel structures in the organizational society: Emmanuel Lazega -- PART II: METHODS: 4: Multilevel Modeling of Social Network and Relational Data: Marijtje A.J. van Duijn -- 5: Multilevel Models for Multilevel Network Dependencies: Mark Tranmer -- 6: Exponential random graph models for multilevel networks: Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega -- 7: Social selection models for multilevel networks: Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega, Marie-Thérèse Jourda -- 8: Blockmodeling of multilevel network data: Aleš Žiberna -- 9: Correspondence Analysis of Multilevel Networks: Mengxiao Zhu, Stanley Wasserman -- 10: Multi-Level Network Analysis from The Duality of Cases and Variables: Ronald L. Breiger -- 11: Multi-splitting large networks for multi-level analysis: Christophe Prieur -- PART III: APPLICATIONS: 12: Experience sampling across organizational levels: Paola Zappa and Alessandro Lomi -- 13: Social integration of gifted students among their classmates: Miranda Jessica Lubbers -- 14:The impact of network position and team structure on individual outcomes: using a multilevel model with an autocorrelation component to predict individual (employee) job satisfaction: Filip Agneessens, Johan Koskinen -- 15: Small fish in big ponds: The structure of international fisheries agreements: James Hollway, Johan Koskinen -- 16: Dynamic interlocks and multilevel analysis in European corporate elites: François-Xavier Dudouet and Antoine Vion -- 17: Comparing fields of sciences: the network of collaborations of physicists and philosophers: Elisa Bellotti -- 18: Connecting and dissecting collective agency in community: applying a multi-level relational approach to the study of community infrastructure and collective action in two Manchester neighbourhoods: Beth Carley -- 19: Multilevel alignments between interactions and relations over different time frames: Implications for group innovativeness: Eric Quintane -- 20: A Multilevel network study of the Biotech industry in France: Alvaro Pina-Stranger, Ana Maria Falconi, Emmanuel Lazega -- 21: Economic exchange vs. social exchange: A Multilevel approach of a trade fair for TV programs in Africa: Guillaume Favre, Julien Brailly, Josiane Chatellet, Emmanuel Lazega -- 22 : Exponential Random Graph Models for a MultiLevel Network - A Case Study of the Audiovisual Market in Eastern Europe: Julien Brailly, Guillaume Favre, Josiane Chatellet, Emmanuel Lazega.
Note:
Description based upon print version of record
DOI:
10.1007/978-3-319-24520-1
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
(lizenzpflichtig)
URL:
https://doi.org/10.1007/978-3-319-24520-1
URL:
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