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E-raamat: Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas [Wiley Online]

(Department of Sociology, Utrecht University, The Netherlands)
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Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social DilemmasSuurem pilt
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Wiley Online e-raamatudRohkem infot Wiley Online kohta
Raamatu kodulehekülg: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118762912
Corten investigates what happens when actors are influenced by their social network but can also choose their relationships in this network. His case studies are social dilemmas, that is, social situations in which individually rational behavior can lead to sub-optimal results at the collective level. He covers whether coordination and networks co-evolve by consent or conflict, cooperation and reputation in dynamic networks, an experimental study of the co-evolution of conventions and networks, and alcohol use among adolescents as a coordination problem in a dynamic network. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

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.

Preface ix
1 Introduction 1(22)
1.1 Social dilemmas and social networks
1(5)
1.1.1 Cooperation and social networks
4(1)
1.1.2 Coordination and social networks
5(1)
1.2 Dynamic networks, co-evolution, and research questions
6(3)
1.3 Social networks and social dilemmas between sociology and economics
9(1)
1.4 Approach: Models, simulation, and empirical tests
10(5)
1.4.1 Theoretical models
13(1)
1.4.2 Empirical approach
14(1)
1.5 Description of the remaining chapters
15(2)
References
17(6)
2 Consent or conflict: Co-evolution of coordination and networks 23(24)
2.1 Introduction
23(5)
2.1.1 Polarization, conflict, and coordination
24(2)
2.1.2 Coordination and social networks
26(2)
2.2 The model
28(1)
2.3 Stable states
29(3)
2.4 Simulation design
32(3)
2.5 Simulation results
35(6)
2.5.1 Predicting stable states I: Polarization
36(3)
2.5.2 Predicting stable states II: Efficiency
39(2)
2.6 Conclusions and discussion
41(1)
References
42(5)
3 Cooperation and reputation in dynamic networks 47(34)
3.1 Introduction
47(5)
3.1.1 Cooperation and network effects
48(1)
3.1.2 The case for network dynamics
49(1)
3.1.3 Learning in networks
50(1)
3.1.4 Related theoretical literature
51(1)
3.2 The model
52(8)
3.2.1 Formalization of the problem
52(2)
3.2.2 Individual strategies
54(2)
3.2.3 Reputation
56(2)
3.2.4 Network decisions
58(1)
3.2.5 Convergence
59(1)
3.3 Analysis of the model
60(5)
3.3.1 Dynamics of behavior with two actors
60(1)
3.3.2 Stable states in fixed networks
61(2)
3.3.3 Stable states in dynamic networks
63(2)
3.4 Setup of the simulation
65(3)
3.4.1 Dependent variables
66(1)
3.4.2 Parameters of the simulation
66(1)
3.4.3 Initial conditions of the simulation
67(1)
3.4.4 Convergence of the simulation
68(1)
3.5 Simulation results
68(5)
3.5.1 Results for fixed networks
68(2)
3.5.2 Results for dynamic networks
70(3)
3.6 Conclusions and discussion
73(4)
References
77(4)
4 Co-evolution of conventions and networks: An experimental study 81(32)
4.1 Introduction
81(5)
4.1.1 Coordination, conventions, and networks
82(3)
4.1.2 An experimental approach
85(1)
4.2 Model and simulation
86(10)
4.2.1 The model
86(2)
4.2.2 Analytic results
88(2)
4.2.3 Simulation
90(3)
4.2.4 Overview of micro-level and macro-level hypotheses
93(3)
4.3 Experimental design
96(1)
4.4 Results
97(10)
4.4.1 Macro-level results
97(4)
4.4.2 Individual behavior I: Decisions in the coordination game
101(3)
4.4.3 Individual behavior II: Linking decisions
104(3)
4.5 Conclusions and discussion
107(2)
References
109(4)
5 Alcohol use among adolescents as a coordination problem in a dynamic network 113(26)
5.1 Introduction
113(7)
5.1.1 Coordination, influence, and alcohol use
115(2)
5.1.2 Approaches to the study of selection and influence
117(3)
5.2 Predictions
120(3)
5.3 Data
123(2)
5.3.1 Data collection
123(1)
5.3.2 Variables and measures
123(2)
5.4 Methods of analysis
125(1)
5.5 Results
126(8)
5.5.1 Descriptive results
126(4)
5.5.2 Multilevel regression using combined network measures
130(2)
5.5.3 Multilevel regression using non-reciprocated friendship ties
132(1)
5.5.4 Additional analyses
132(2)
5.6 Conclusions
134(2)
References
136(3)
6 Conclusions 139(12)
6.1 Summary of the findings
139(3)
6.2 Theory, computer simulation, and empirical tests
142(3)
6.3 Suggestions for further research
145(4)
6.3.1 Theoretical extensions
145(3)
6.3.2 Suggestions for empirical studies
148(1)
References
149(2)
Appendix A: Instructions used in the experiment 151(8)
Appendix B: The computer interface used for the experiment 159(8)
Reference 167(2)
Index 169
Rense Corten Department of Sociology, Utrecht University, The Netherlands benefit from the novel approaches presented in this book.
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