Networks in Social Policy Problems.
Applies network science to contemporary social policy problems for researchers and policy makers in social network analysis and economic policy.
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge :
Cambridge University Press,
2012.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; NETWORKS IN SOCIAL POLICY PROBLEMS; Title; Copyright; Contents; Contributors; Acknowledgements; 1 Introduction; 1.1 Introduction: applied network science; 1.2 The structure of this volume; Part I Information, collaboration, innovation: the creative power of networks; 2 Dissemination of health information within social networks; 2.1 Introduction; 2.2 Theoretical overview; 2.2.1 Diffusion of health information and interpersonal communication; 2.2.2 The two-step model; 2.2.3 Multi-step model; 2.2.4 Structural characteristics of graphs; 2.2.5 Random graphs; 2.2.6 Modeling dynamic processes.
- 2.3 Data and method2.3.1 Data; 2.4 Computational simulation; 2.4.1 Data preparation; 2.4.2 Learning transmissions; 2.4.3 Modeling diffusion; 2.5 Distribution of individual (vertex) characteristics; 2.6 Conclusion; 3 Scientific teams and networks change the face of knowledge creation; 3.1 Data; 3.2 Findings; 3.2.1 Teams and citations; 3.2.2 Citation impact for solo and team scientists; 3.3 Notes on the link between teams and networks; 3.4 Author networks and team assembly; 3.4.1 Team size in the sciences; 3.4.2 The network; 3.4.3 A plausible model.
- 3.4.4 Assembly rules and journal impact factors3.5 Discussion; 4 Structural folds: the innovative potential of overlapping groups; 4.1 Network structures for access and action; 4.2 Structural folds; 4.3 Instability and coherence; 4.4 Data and methods; 4.4.1 Data; 4.5 Group performance; 4.6 Structural folds and group stability; 4.7 Conclusion; 5 Team formation and performance on nanoHub: a network selection challenge in scientific communities; 5.1 Introduction; 5.2 Voluntary collaborative project teams; 5.3 Mechanisms associated with successful teams.
- 5.4 Translating findings into policy
- an information problem5.4.1 Emergent local dynamics
- the information disadvantage of policy-making; 5.4.2 Emergent collective dynamics
- the information advantage of policy-making; 5.5 Using network analysis to assist policy; 5.5.1 Network analysis and community norms; 5.5.2 Network signatures of emergent norms of team assembly; 5.6 Method; 5.6.1 Inferring community logics; 5.6.2 Dependent/performance variables; 5.6.3 Hypothesis testing; 5.7 Results; 5.7.1 Identifying community logics; 5.7.2 Performance regression; 5.8 Discussion.
- 5.8.1 Review of findings5.8.2 Policy implications; 5.8.3 Limitations and further research; Part II Influence, capture, corruption: networks perspectives on policy institutions; 6 Modes of coordination of collective action: what actors in policy-making?; 6.1 Modes of coordination within organizational fields; 6.2 Coordinating collective action: social movements, coalitions, organizations, subcultures/communities; 6.3 An illustration: Milanese environmentalism in the 1980s; 6.4 Modes of coordination, network organizations, and policy processes.