Title:
Computational approaches to studying the co-evolution of networks and behavior in social dilemmas
Personal Author:
Series:
Wiley series in computational and quantitative social science
Publication Information:
Chichester : Wiley, 2014.
Physical Description:
x, 175 pages : illustrations. ; 24 cm.
ISBN:
9781118636879
Abstract:
Computational Approaches to Studying the Co-evolution of Networks and Behaviour in Social Dilemmas shows students, researchers, and professionals how to use computation methods, rather than mathematical analysis, to answer research questions for an easier, more productive method of testing their models. Illustrations of general methodology are provided and explore how computer simulation is used to bridge the gap between formal theoretical models and empirical applications. An accompanying website supports the text"--Provided by publisher.
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 33000000016213 | HM1106 C67 2014 | Open Access Book | Book | Searching... |
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Summary
Summary
Computational Approaches to Studying the Co-evolution of Networks and Behaviour in Social Dilemmas shows students, researchers, and professionals how to use computation methods, rather than mathematical analysis, to answer research questions for an easier, more productive method of testing their models. Illustrations of general methodology are provided and explore how computer simulation is used to bridge the gap between formal theoretical models and empirical applications.
Author Notes
Rense Corten
Department of Sociology, Utrecht University, The Netherlands benefit from the novel approaches presented in this book.
Table of Contents
| Preface | p. ix |
| 1 Introduction | p. 1 |
| 1.1 Social dilemmas and social networks | p. 1 |
| 1.1.1 Cooperation and social networks | p. 4 |
| 1.1.2 Coordination and social networks | p. 5 |
| 1.2 Dynamic networks, co-evolution, and research questions | p. 6 |
| 1.3 Social networks and social dilemmas between sociology and economics | p. 9 |
| 1.4 Approach: Models, simulation, and empirical tests | p. 10 |
| 1.4.1 Theoretical models | p. 13 |
| 1.4.2 Empirical approach | p. 14 |
| 1.5 Description of the remaining chapters | p. 15 |
| References | p. 17 |
| 2 Consent or conflict: Co-evolution of coordination and networks | p. 23 |
| 2.1 introduction | p. 23 |
| 2.1.1 Polarization, conflict, and coordination | p. 24 |
| 2.1.2 Coordination and social networks | p. 26 |
| 2.2 The model | p. 28 |
| 2.3 Stable states | p. 29 |
| 2.4 Simulation design | p. 32 |
| 2.5 Simulation results | p. 35 |
| 2.5.1 Predicting stable states I: Polarization | p. 36 |
| 2.5.2 Predicting stable states II: Efficiency | p. 39 |
| 2.6 Conclusions and discussion | p. 41 |
| References | p. 42 |
| 3 Cooperation and reputation in dynamic networks | p. 47 |
| 3.1 Introduction | p. 47 |
| 3.1.1 Cooperation and network effects | p. 48 |
| 3.1.2 The case for network dynamics | p. 49 |
| 3.1.3 Learning in networks | p. 50 |
| 3.1.4 Related theoretical literature | p. 51 |
| 3.2 The model | p. 52 |
| 3.2.1 Formalization of the problem | p. 52 |
| 3.2.2 Individual strategies | p. 54 |
| 3.2.3 Reputation | p. 56 |
| 3.2.4 Network decisions | p. 58 |
| 3.2.5 Convergence | p. 59 |
| 3.3 Analysis of the model | p. 60 |
| 3.3.1 Dynamics of behavior with two actors | p. 60 |
| 3.3.2 Stable states in fixed networks | p. 61 |
| 3.3.3 Stable states in dynamic networks | p. 63 |
| 3.4 Setup of the simulation | p. 65 |
| 3.4.1 Dependent variables | p. 66 |
| 3.4.2 Parameters of the simulation | p. 66 |
| 3.4.3 Initial conditions of the simulation | p. 67 |
| 3.4.4 Convergence of the simulation | p. 68 |
| 3.5 Simulation results | p. 68 |
| 3.5.1 Results for fixed networks | p. 68 |
| 3.5.2 Results for dynamic networks | p. 70 |
| 3.6 Conclusions and discussion | p. 73 |
| References | p. 77 |
| 4 Co-evolution of conventions and networks: An experimental study | p. 81 |
| 4.1 Introduction | p. 81 |
| 4.1.1 Coordination, conventions, and networks | p. 82 |
| 4.1.2 An experimental approach | p. 85 |
| 4.2 Model and simulation | p. 86 |
| 4.2.1 The model | p. 86 |
| 4.2.2 Analytic results | p. 88 |
| 4.2.3 Simulation | p. 90 |
| 4.2.4 Overview of micro-level and macro-level hypotheses | p. 93 |
| 4.3 Experimental design | p. 96 |
| 4.4 Results | p. 97 |
| 4.4.1 Macro-level results | p. 97 |
| 4.4.2 Individual behavior I: Decisions in the coordination game | p. 101 |
| 4.4.3 Individual behavior II: Linking decisions | p. 104 |
| 4.5 Conclusions and discussion | p. 107 |
| References | p. 109 |
| 5 Alcohol use among adolescents as a coordination problem in a dynamic network | p. 113 |
| 5.1 Introduction | p. 113 |
| 5.1.1 Coordination, influence, and alcohol use | p. 115 |
| 5.1.2 Approaches to the study of selection and influence | p. 117 |
| 5.2 Predictions | p. 120 |
| 5.3 Data | p. 123 |
| 5.3.1 Data collection | p. 123 |
| 5.3.2 Variables and measures | p. 123 |
| 5.4 Methods of analysis | p. 125 |
| 5.5 Results | p. 126 |
| 5.5.1 Descriptive results | p. 126 |
| 5.5.2 Multilevel regression using combined network measures | p. 130 |
| 5.5.3 Multilevel regression using non-reciprocated friendship ties | p. 132 |
| 5.5.4 Additional analyses | p. 132 |
| 5.6 Conclusions | p. 134 |
| References | p. 136 |
| 6 Conclusions | p. 139 |
| 6.1 Summary of the findings | p. 139 |
| 6.2 Theory, computer simulation, and empirical tests | p. 142 |
| 6.3 Suggestions for further research | p. 145 |
| 6.3.1 Theoretical extensions | p. 145 |
| 6.3.2 Suggestions for empirical studies | p. 148 |
| References | p. 149 |
| Appendix A Instructions used in the experiment | p. 151 |
| Appendix B The computer interface used for the experiment | p. 159 |
| Reference | p. 167 |
| Index | p. 169 |
