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Analytical sociology : actions and networks /
"This book illustrates how analytical sociology is progressively refining its theoretical framework and how powerful this framework is in explaining a large array of social phenomena. The authors have collaborated to demonstrate how analytical sociology integrates formal models, computer simula...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken ; Chichester, West Sussex, UK :
Wiley,
2014.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Analytical sociology : |b actions and networks / |c editor, Gianluca Manzo. |
| 264 | 1 | |a Hoboken ; |a Chichester, West Sussex, UK : |b Wiley, |c 2014. | |
| 300 | |a 1 online resource (xviii, 429 pages) : |b illustrations | ||
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| 520 | |a "This book illustrates how analytical sociology is progressively refining its theoretical framework and how powerful this framework is in explaining a large array of social phenomena. The authors have collaborated to demonstrate how analytical sociology integrates formal models, computer simulations, laboratory experiments, and complex statistical analysis of large-scale datasets. This integration makes analytical sociology comparable to the methodology adopted by modern biological and physical sciences. The authors discuss computational models as well as laboratory experiments, focusing on how experiments may shed light on the complex relation between norms, networks, and social actions"-- |c Provided by publisher | ||
| 520 | |a "Analytical Sociology: Norms, Actions and Networks illustrates how analytical sociology is progressively refining its theoretical framework and how powerful this framework is in explaining a large array of social phenomena"-- |c Provided by publisher | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 505 | 0 | 0 | |g Machine generated contents note: |g 1. |t Data, Generative Models, and Mechanisms: More on the Principles of Analytical Sociology / |r Gianluca Manzo -- |g 1.1. |t Introduction -- |g 1.2. |t Principles of Analytical Sociology -- |g 1.3. |t Clarity (P1) -- |g 1.4. |t Description (P2) -- |g 1.5. |t Generative Models (P3) -- |g 1.6. |t Structural Methodological Individualism (P4a) -- |g 1.7. |t Logics of Action (P4b) -- |g 1.8. |t Structural Interdependency (P4c) -- |g 1.9. |t Agent-Based Modeling (P5) -- |g 1.10. |t Back to Data (P6 and P7) -- |g 1.11. |t Concluding Remarks -- |g 1.12. |t How to Read this Book -- |t References -- |t Further Reading -- |g pt. I |t ACTIONS -- |t Foundational Issues -- |t Editor's Introduction to Chapter 2 -- |g 2. |t Analytical Sociology and Rational-Choice Theory / |r Petri Ylikoski -- |g 2.1. |t Rational-Choice Theory -- |g 2.2. |t Sociological Rational-Choice Theory -- |g 2.3. |t Analytical Sociology as a Meta-Theory -- |g 2.4. |t Key Ideas of Analytical Sociology -- |g 2.4.1. |t Mechanism-Based Explanation -- |g 2.4.2. |t Realism -- |g 2.4.3. |t Theories of Middle Range -- |g 2.4.4. |t Theory of Action -- |g 2.5. |t Puzzle -- |g 2.6. |t Assumed Special Role of RCT -- |g 2.7. |t Conclusion -- |t References -- |t Further Reading -- |t Crime and Voting -- |t Editor's Introduction to Chapter 3 -- |g 3. |t Why Crime Happens: A Situational Action Theory / |r Per-Olof H. Wikstrom -- |g 3.1. |t Situational Action Theory -- |g 3.2. |t Explaining Crime -- |g 3.3. |t Situational Model -- |g 3.4. |t Situational Process -- |g 3.4.1. |t Motivation -- |g 3.4.2. |t Perception of Action Alternatives: The Moral Filter -- |g 3.4.3. |t Process of Choice: Habits and Deliberation -- |g 3.4.4. |t Controls: Self-Control and Deterrence -- |g 3.5. |t Social Model -- |g 3.6. |t Integrating the Social and Situational Models -- |g 3.7. |t Testing SAT -- |g 3.7.1. |t Peterborough Adolescent and Young Adult Development Study -- |g 3.7.2. |t Measuring Crime, Crime Propensity and Criminogenic Exposure -- |g 3.7.3. |t Crime Involvement by Crime Propensity and Criminogenic Exposure -- |g 3.7.4. |t Impact of Criminogenic Exposure on Crime for Groups with Different Levels of Crime Propensity -- |g 3.8. |t Explaining Crime Concentrations (Hot Spots) -- |g 3.9. |t Coda -- |t References -- |t Further Reading -- |t Editor's Introduction to Chapter 4 -- |g 4. |t Frames, Scripts, and Variable Rationality: An Integrative Theory of Action / |r Clemens Kroneberg -- |g 4.1. |t Introduction -- |g 4.2. |t Model of Frame Selection (MFS) -- |g 4.2.1. |t Frames, Scripts, and Actions -- |g 4.2.2. |t Dual-processes: Spontaneous vs. Reflected Modes of Selection -- |g 4.2.3. |t Determinants of Variable Rationality -- |g 4.3. |t Hypotheses and Previous Applications -- |g 4.4. |t Exemplary Application Using Survey Data: Explaining Voter Participation -- |g 4.4.1. |t Theory -- |g 4.4.2. |t Data and Measures -- |g 4.4.3. |t Results -- |g 4.5. |t Applying the MFS to Study Social Dynamics -- |g 4.5.1. |t MFS and the Study of Social Movements and Collective Action -- |g 4.5.2. |t Strategic Interaction with Variable Rationality and Framing -- |g 4.6. |t Conclusion -- |t References -- |t Further Reading -- |t Historical Violence -- |t Editor's Introduction to Chapter 5 -- |g 5. |t Analytical Sociology and Quantitative Narrative Analysis: Explaining Lynchings in Georgia (1875 -- 1930) / |r Roberto Franzosi -- |g 5.1. |t Strange Fruits on Southern Trees -- |g 5.2. |t Analytical Sociology -- |g 5.3. |t Quantitative Narrative Analysis (QNA) -- |g 5.3.1. |t Step 1: Story Grammars -- |g 5.3.2. |t Step 2: PC-ACE (Program for Computer-Assisted Coding of Events) -- |g 5.3.3. |t Step 3: Data Analysis: Actor-Centered vs. Variable-Centered Tools of Analysis -- |g 5.4. |t Of Sequences -- |g 5.5. |t Of Time and Space -- |g 5.6. |t Conclusions -- |t Acknowledgments -- |t References -- |t Further Reading -- |t Editor's Introduction to Chapter 6 -- |g 6. |t Identity and Opportunity in Early Modern Politics: How Job Vacancies Induced Witch Persecutions in Scotland, 1563 -- 1736 / |r Anna Mitschele -- |g 6.1. |t Introduction -- |g 6.2. |t Theories about Witches and Research on State Making -- |g 6.3. |t Towards a Theory of Persecution -- |g 6.3.1. |t Communities -- |g 6.3.2. |t Elite Social Structure and Government -- |g 6.4. |t Witch-Hunting in Scotland -- |g 6.5. |t Findings -- |g 6.5.1. |t Prosecution as Career Device I: Waves of Witch-Hunting and their Historical Correlates -- |g 6.5.2. |t Prosecution as Career Device II: Witch-Hunters Become Justices of the Peace -- |g 6.5.3. |t Competing Explanations I: The Godly State Ideology -- |g 6.5.4. |t Competing Explanations II: Witches as Scapegoats for Disaster -- |g 6.6. |t Discussion -- |t Acknowledgements -- |t References -- |t Further Reading -- |t Trust and Cooperation -- |t Editor's Introduction to Chapter 7 -- |g 7. |t Mechanisms of Cooperation / |r Davide Barrera -- |g 7.1. |t Introduction -- |g 7.2. |t Cooperation Problems in Dyadic Settings -- |g 7.2.1. |t Models of Trust Problem -- |g 7.2.2. |t Cooperation Mechanisms in Embedded Settings -- |g 7.2.3. |t Empirical Research on Trust in Embedded Settings -- |g 7.2.4. |t Dyadic Embeddedness -- |g 7.2.5. |t Network Embeddedness -- |g 7.3. |t Cooperation Problems Involving More than Two Actors -- |g 7.3.1. |t Reciprocity and Non-Standard Utility Models -- |g 7.3.2. |t Empirical Evidence on Heterogeneous Preferences -- |g 7.4. |t Discussion and Concluding Remarks -- |t References -- |t Further Reading -- |t Editor's Introduction to Chapter 8 -- |t Baldassarri's Preface to Chapter 8 -- |g 8. |t Impact of Elections on Cooperation: Evidence from a Lab-in-the-Field Experiment in Uganda / |r Delia Baldassarri -- |g 8.1. |t Theoretical Framework and Hypotheses -- |g 8.2. |t Research Site, Sampling, and Experimental Design -- |g 8.3. |t Research Site -- |g 8.4. |t Sampling and Data Collection -- |g 8.5. |t Experimental Design -- |g 8.6. |t Experimental Findings -- |g 8.7. |t Monitors' Sanctioning Behavior -- |g 8.8. |t Discussion of the Experimental Part -- |g 8.9. |t Observational Data -- |g 8.10. |t Comparing Behavior in the Experiment and Real Life -- |g 8.11. |t Conclusion -- |t Supporting Information -- |t Appendix 8.A -- |t Acknowledgments -- |t References -- |t Further Reading -- |g pt. II |t NETWORKS -- |t Collective Action -- |t Editor's Introduction to Chapter 9 -- |g 9. |t Social Networks and Agent-Based Modelling / |r Meredith Rolfe -- |g 9.1. |t Social Network Properties -- |g 9.1.1. |t Surveys of Personal Networks -- |g 9.2. |t Network Construction Techniques -- |g 9.2.1. |t Global Reference or Full Information -- |g 9.2.2. |t Random Graph Local Networks -- |g 9.2.3. |t Two-Dimensional Lattices or Grid-Based Networks -- |g 9.2.4. |t One-Dimensional Lattice or Small-World Method -- |g 9.2.5. |t Biased or Structured Random Networks -- |g 9.3. |t Networks as Pipes: A Basic Demonstration -- |g 9.3.1. |t Global Networks and Group Size -- |g 9.3.2. |t Results with Network Construction Methods -- |g 9.4. |t Discussion -- |t References -- |t Further Reading -- |t Editor's Introduction to Chapter 10 -- |g 10. |t Online Networks and the Diffusion of Protest / |r Yamir Moreno -- |g 10.1. |t Diffusion Dynamics -- |g 10.1.1. |t Models of Diffusion -- |g 10.1.2. |t Case Study -- |g 10.2. |t Thresholds and Critical Mass -- |g 10.3. |t Networks and Social Influence -- |g 10.4. |t Conclusion: Digital Data and Analytical Sociology -- |t References -- |t Further Reading -- |t Homophily and Status Hierarchies -- |t Editor's Introduction to Chapter 11 -- |g 11. |t Liability to Rupture: Multiple Mechanisms and Subgroup Formation. |
| 505 | 0 | 0 | |g An Exploratory Theoretical Study / |r Peter Abell -- |g 11.1. |t Introduction -- |g 11.2. |t Formal Framework -- |g 11.3. |t Balance Theory -- |g 11.4. |t Homophily (H-theory) -- |g 11.5. |t Baseline Structures -- |g 11.6. |t Developing a Dynamic Mechanism for Balance Theory -- |g 11.7. |t Developing a Dynamic Mechanism for H-theory -- |g 11.8. |t Dynamic Interaction of Balance and H-theories -- |g 11.9. |t Conclusions -- |g Appendix 11.A |t Micro -- Macro Inferences and Scale -- |t References -- |t Further Reading -- |t Editor's Introduction to Chapter 12 -- |g 12. |t Network Size and Network Homophily: Same-Sex Friendships in 595 Scandinavian Schools / |r Thomas Grund -- |g 12.1. |t Introduction -- |g 12.2. |t Theoretical Considerations -- |g 12.2.1. |t Biased Urn Model Without Replacement for Network Formation -- |g 12.2.2. |t Role of Group Size for Homophily -- |g 12.3. |t Empirical Application: Same-Sex Ties in School Classes -- |g 12.3.1. |t Hypotheses -- |g 12.3.2. |t Data and Method -- |g 12.4. |t Results -- |g 12.5. |t Conclusion -- |t References -- |t Further Reading -- |t Editor's Introduction to Chapter 13 -- |g 13. |t Status and Participation in Online Task Groups: An Agent-Based Model / |r Simone Gabbriellini -- |g 13.1. |t Introduction -- |g 13.2. |t Previous Models -- |g 13.3. |t E-state Structuralism: A Very Brief Review with an Add-On -- |g 13.4. |t Case Study: Strategies and Discussions in Massively Multi-Player Online Games -- |g 13.5. |t Analysis of the Model -- |g 13.6. |t Empirical Test/Validation of the Model -- |g 13.7. |t Conclusions -- |t References -- |t Further Reading -- |t Labour Market Inequality -- |t Editor's Introduction to Chapter 14 -- |g 14. |t Turbulent Careers: Social Networks, Employer Hiring Preferences, and Job Instability / |r Katherine Stovel -- |g 14.1. |t Introduction -- |g 14.2. |t Background -- |g 14.2.1. |t Rise of Turbulence in Individual Employment Trajectories -- |g 14.2.2. |t Inequality in Insecurity -- |g 14.3. |t Networks -- |g 14.3.1. |t Network Structure and Inequality in Information -- |g 14.3.2. |t Our Approach -- |g 14.4. |t Methods -- |g 14.4.1. |t Simulation Environment -- |g 14.4.2. |t Implementation -- |g 14.4.3. |t Experimental Structure -- |g 14.5. |t Results -- |g 14.6. |t Summary and Conclusions -- |g Technical Appendix 14.A |t Detailed Description of jobMatch Simulation Model -- |t Acknowledgments -- |t References -- |t Further Reading -- |t Editor's Introduction to Chapter 15 -- |g 15. |t Employer Networks, Priming, and Discrimination in Hiring: An Experiment / |r Marco Castellani -- |g 15.1. |t Introduction -- |g 15.2. |t Method -- |g 15.2.1. |t Experimental Design -- |g 15.2.2. |t Manipulations -- |g 15.2.3. |t Subjects -- |g 15.3. |t Results -- |g 15.3.1. |t Index Values -- |g 15.3.2. |t Hierarchical Models. |
| 505 | 0 | 0 | |g Note continued: |g 15.3.3. |t From Traditional Testing Toward Finding Indicators for Mechanisms -- |g 15.4. |t Discussion -- |t Acknowledgments -- |t References -- |t Further Reading -- |t Organization Similarity -- |t Editor's Introduction to Chapter 16 -- |g 16. |t Duality of Organizations and Audiences / |r Balazs Kovacs -- |g 16.1. |t Introduction -- |g 16.2. |t Similarity and the Duality of Organizations and their Audiences -- |g 16.3. |t Organizational Similarity, Audiences, and Arguments for Extending Structural Equivalence -- |g 16.4. |t Representation for Dual Similarity of Organizations and their Audiences -- |g 16.5. |t Empirical Illustration: The Duality of Restaurants and their Reviewers -- |g 16.6. |t Similarity as a Basis for Prediction: Validating the Model -- |g 16.7. |t Discussion, Implications, and Limitations -- |g 16.8. |t Connections to Analytical Sociology -- |t References -- |t Further Reading -- |t Coda -- |t Problem Shift in Sociology: Mechanisms, Generic Instruments, and Fractals / |r Gianluca Manzo. |
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