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Multilevel Network Analysis for the Social Sciences - Theory, Methods and Applications
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Multilevel Network Analysis for the Social Sciences - Theory, Methods and Applications
von: Emmanuel Lazega, Tom A.B. Snijders
Springer-Verlag, 2015
ISBN: 9783319245201
373 Seiten, Download: 7373 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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Inhaltsverzeichnis

  Acknowledgments 6  
  Contents 8  
  1 Introduction 10  
     Theory 12  
     Methods 13  
     Applications 16  
     References 20  
  Part I Theory 22  
     2 The Multiple Flavours of Multilevel Issues for Networks 23  
        Away from Atomistic Approaches 23  
        Multilevel Analysis 24  
           Origins 24  
           Hierarchical Linear Model 26  
           Non-nested Data Structures 27  
           Frequentist and Bayesian Estimation 28  
           What Is a Level? 29  
           Dependent Variables at Any Level 30  
        Models for Social Networks 31  
           The Basic Multilevel Nature of Social Network Analysis 32  
           p2 Model 33  
           Latent Space Models 33  
           Exponential Random Graph Models 34  
           Stochastic Actor-Oriented Models 35  
           Choice of Model 38  
        Multilevel Network Analysis 39  
           Why Combine Several `Parallel' Networks? 39  
           Two-Step Meta-for-Multilevel Network Analysis 41  
           Integrated Multilevel Network Analysis 42  
           Hierarchical Structures 43  
        Analysis of Multilevel Networks 44  
           Exponential Random Graph Models for Multilevel Networks 45  
           Stochastic Actor-Oriented Models for Multilevel Networks 47  
        A Forward Look 49  
        References 50  
     3 Synchronization Costs in the Organizational Society: Intermediary Relational Infrastructures in the Dynamics of Multilevel Networks 55  
        The Meso Level in Organizational Societies, Relational Infrastructure and Synchronization Costs 55  
           Multilevel Networks of Collective Action and Intermediary-Level Relational Infrastructure 57  
           Synchronization of Temporalities Within and Across Different Levels of Collective Agency 59  
        Multilevel Structures: Superposed Levels of Collective Agency 63  
           An Empirical Case of Co-constitution Without Conflation 63  
           Affiliations, Overlaps and Fish/Pond Relative Status 65  
           Relational Strategies in Cross-Level Interdependencies 65  
           Overlaps, Relational Infrastructures, Entrapment or Emancipation 67  
           Dual Opportunity Structures, Asynchronies and “Emergence” 68  
        Emergent Corporate Entities: The Energy for/from Organized Mobility and Relational Turnover 69  
        From Place to Position to a New System of Places: A Spinning Top Model of Synchronization Benefits in Collective Learning 72  
        Dynamics of Multilevel Networks, Synchronization Costs and Social Inequalities 79  
        References 82  
  Part II Methods 86  
     4 Modeling Individual Outcomes Using a Multilevel Social Influence (MSI) Model: Individual Versus Team Effects of Trust on Job Satisfaction in an Organisational Context 87  
        Introduction and General Context 87  
        The Multilevel Social Influence (MSI) Arguments: Individual Network Position and Network Structure 88  
           Individual Network Position 89  
              Centrality 89  
              Structural Holes/Brokerage 89  
              Resourcefulness of Ego's Connections 89  
              Heterogeneity Among Ego's Connections 90  
              Homophily/Heterophily on an Independent Characteristic 90  
           Network Level Structure 90  
              Cohesion 91  
              Centralization 91  
              Fragmentation 91  
           Why Use Multilevel Social Influence? 91  
              Find Persistent Results Over Groups 92  
              Wrongly Assume that it is Individual Effect When it is a Group Effect 92  
              Effects are Different in Different Situations – Cross-Level Interactions 93  
        Trust Networks on Employee Job Satisfaction: An Example 95  
           Theoretical Arguments 96  
              Trust and Job Satisfaction 96  
              Individual and Group Level Effects 97  
           Data and Measurement 97  
           Model for the Analysis of Job Satisfaction and Trust in Teams 99  
              Model Formulation 100  
              Level 2 Fixed Effects and Random Effects 100  
              Level 1 Fixed and Random Effects 100  
              Level ½ Fixed and Random Effects 101  
              Prior Distributions and Estimation 102  
           Results 102  
        Discussion and Conclusions 107  
        References 107  
     5 Multilevel Models for Multilevel Network Dependencies 112  
        Introduction 112  
        Network Autocorrelation Models for Single Level Networks 113  
        Multilevel and Multiple Membership Models 114  
        Multiple Membership Models for Single-Level Network Dependencies 117  
        Multiple Membership Multiple Classification (MMMC) Models for Multilevel Networks 120  
        Empirical Case Study 121  
           Data 122  
           Research Questions 122  
           Data Preparation 123  
           Model Fitting Strategy and Software Details 123  
        Results 124  
           Outgoing Tie Networks 124  
           Incoming Tie Networks 125  
           Allowing for Explanatory Variables 126  
        Conclusions and Further Extensions to the MMMC Model 127  
        References 129  
     6 Multilevel Network Analysis Using ERGM and Its Extension 130  
        Introduction 130  
        Multilevel Network Data Representation 131  
        Multilevel ERGMs 132  
        Multilevel Social Selection Models 136  
        Estimation and Goodness of Fit 139  
        Modeling Example: Networks of Entrepreneurial and Non-entrepreneurial Farmers in Ethiopia 139  
        Conclusion and Discussion 146  
        References 146  
     7 Correspondence Analysis of Multirelational Multilevel Networks 149  
        Introduction 149  
        Methodology 152  
           Existing Methods for Analyzing Affiliation Network Data 152  
           Correspondence Analysis and Multiple Correspondence Analysis 154  
        Illustrative Examples 158  
           Example 1: EverQuest II 158  
              Data and Sample 158  
              Variables 159  
              Analytic Method 160  
              Results 160  
              Developing Hypotheses from Preliminary Results 167  
           Example 2: Dragon Nest 169  
              Data and Sample 170  
              Variables 170  
              Analytic Method 170  
              Results 171  
        Conclusions 173  
        References 174  
     8 Role Sets and Division of Work at Two Levels of Collective Agency: The Case of Blockmodeling a Multilevel (Inter-individual and Inter-organizational) Network 177  
        Introduction 177  
        Multilevel Networks 178  
        Blockmodeling 179  
        Multilevel Blockmodeling 180  
           A Separate Analysis of Each Mode and a Comparison of the Results 181  
           Conversion of the Multilevel Problem to a Classical One-Level Blockmodeling Problem 182  
           The True Multilevel Approach 184  
        Analysis of a Multilevel Network of Cancer Researchers in France 185  
           Data Description 186  
           Separate Analysis 189  
              Network of Researchers 190  
              Network of Laboratories 193  
              Comparison 195  
           Conversion of the Multilevel Problem to a Classical One-Level Blockmodeling Problem 197  
              Single-Relational Network 197  
              Multi-relational Network 197  
           A True Multilevel Approach 202  
           Comparison of the Results Using Different Approaches 205  
        Discussion 208  
        Conclusions 209  
        References 211  
  Part III Applications 214  
     9 Comparing Fields of Sciences: Multilevel Networks of Research Collaborations in Italian Academia 215  
        Introduction 215  
        Multilevel Approaches to the Study of Social Networks 217  
        The Database of PRIN Projects 221  
           The Multilevel Structure of PRIN Data 224  
        Univariate Analysis of Micro, Macro and Meso Characteristics 228  
           The Micro-level: Individual Attributes 230  
           The Micro-level: Individual Networks 232  
           The Macro- and Meso-levels 234  
        Modeling Funding Achievements 236  
        Results 238  
        Discussion 243  
        Conclusions 244  
        References 245  
     10 Market as a Multilevel System 247  
        Reframing Embeddedness as a Multilevel Issue 249  
           From Embeddedness to Multilevel Hypotheses 249  
        The Multilevel Embeddedness Hypotheses in the Context of a Trade Fair 252  
           From “Same time next year”… 252  
           … To “Next time this year” 254  
        A Trade Fair for TV Programs in Eastern and Central Europe 255  
           Multilevel Network Data Collection During a Trade Fair… 255  
           …Included in a Global Series of Similar Events 258  
        Different Temporalities Between Levels 260  
           Inter-organizational Level: Same Time Next Year in an Oligopoly with Fringes 260  
           Inter-individual Level: Next Time This Year in a Coopetition Milieu 262  
        Discussion and Conclusion 265  
        Appendixes 267  
           Appendix 1: Configuration Visualization for the Interorganizational Network 267  
           Appendix 2: Goodness of Fit for the Interorganizational Level 268  
           Appendix 3: Configuration Visualization for the Interindividual Network 269  
           Appendix 4 269  
        References 270  
     11 Knowledge Networks in High-Tech Clusters: A Multilevel Perspective on Interpersonal and Inter-organizationalCollaboration 274  
        Introduction 274  
        Theory and Hypotheses 276  
           Cross-Level Assortativity in Multilevel Knowledge Networks 276  
           Cross-Level Closure in Multilevel Knowledge Networks 278  
        Data, Measures, and Analyses 279  
           Research Sites and Respondents 279  
           Network Data and Actor-Level Attributes 280  
           Exponential Random Graph Models for Multilevel Networks 281  
        Results 283  
           Single-Level Network Structure 284  
           Multilevel Network Structure 287  
        Discussion 288  
        Conclusion 291  
        References 292  
     12 Inter-organizational Network Influence on Long-Term and Short-Term Inter-individual Relationships: The Case of a Trade Fair for TV Programs Distribution in Sub-Saharan Africa 295  
        Relationship Creation During Trade Fairs 296  
           Trade Fairs, Long-Term and Short-Term Relationships 297  
        The Influence of Trade Fairs and Inter-organizational Partnerships on Inter-individual Relationships 298  
        A Study of a Trade Fair for TV Programs in Sub-Saharan Africa 301  
        A Multilevel Social Network Study 302  
           Independent Variables 304  
           Control Variables 304  
        Analysis of the Structures of Long-Term and Short-Term Relationships 306  
           Method 306  
           Results 306  
        Conclusion and Discussion 309  
        Appendices 311  
           Appendix 1: Visualization of Long-Term Information Exchange Network Between Individuals 311  
           Appendix 2: Visualization of Short-Term Information Exchange Network Between Individuals 311  
           Appendix 3: Visualization of Deal Network Between Companies 312  
        References 312  
     13 Multilevel Bilateralism and Multilateralism: States' Bilateral and Multilateral Fisheries Treaties and TheirSecretariats 315  
        Introduction 315  
        Bilateralism and Multilateralism 317  
           Bilateralism or Multilateralism 317  
           Managed or Unmanaged Multilateralism 318  
        Data 321  
           Bilateral Fisheries Agreements 321  
           Multilateral Fisheries Agreements 323  
           Ties Between MFAs 325  
           One Multilevel Network 326  
        Results 326  
        Discussion 329  
        References 331  
     14 Knowledge Sharing in Organizations: A Multilevel Network Analysis 333  
        Introduction 333  
        General Background and Questions 335  
           Organizations as Multilevel Network Systems 335  
           Social Networks and Organizational Structure 337  
        Models for Multilevel Networks 339  
        Empirical Illustration 340  
           Data 340  
           Model Specification and Estimation 343  
        Results 347  
        Discussion and Conclusions 350  
        References 351  
     15 General Conclusion 354  
        References 359  
  Author Index 361  
  Subject Index 369  


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