Networks in the public sector: a multilevel framework and systematic review
Networks contain complex patterns of dependency and require multiple levels of analysis to explain their formation, structure, and outcomes. In this Element, the authors develop the Multilevel Network Framework. The framework serves as (i) a conceptual tool to think more deeply about network dynamic...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2022
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| Series: | Cambridge elements
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| Subjects: | |
| Online Access: | BSB01 FWS01 FWS02 UBG01 Volltext |
| Summary: | Networks contain complex patterns of dependency and require multiple levels of analysis to explain their formation, structure, and outcomes. In this Element, the authors develop the Multilevel Network Framework. The framework serves as (i) a conceptual tool to think more deeply about network dynamics, (ii) a research tool to assist in connecting data, theory, and empirical models, and (iii) a diagnostic tool to analyze and categorize bodies of research. The authors then systematically review the network literature in public administration, management, and policy. They apply the Multilevel Network Framework to categorize the literature; identify significant gaps; examine micro, macro and cross-level relations; and examine relevant mechanisms and theories. Overall this Element helps readers to (i) understand and classify network research, (ii) use appropriate theoretical frameworks to examine network-related problems, (iii) understand how networks emerge and produce effects at different levels of analysis, and (iv) select appropriate empirical models |
| Item Description: | Title from publisher's bibliographic system (viewed on 31 Aug 2022) Levels of Analysis and the Multilevel Network Framework -- Systematic Review Process and Findings -- Network Formation -- Network Effects -- Conclusion |
| Physical Description: | 1 Online-Ressource (84 Seiten) |
| ISBN: | 9781009104241 |
| DOI: | 10.1017/9781009104241 |
Staff View
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| id | DE-604.BV048501057 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:44:34Z |
| indexdate | 2025-02-20T06:39:33Z |
| institution | BVB |
| isbn | 9781009104241 |
| language | English |
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| spellingShingle | Siciliano, Michael D. ca. 20./21. Jh Networks in the public sector a multilevel framework and systematic review Public administration / Research / Methodology Multilevel models (Statistics) Policy networks Social networks |
| title | Networks in the public sector a multilevel framework and systematic review |
| title_auth | Networks in the public sector a multilevel framework and systematic review |
| title_exact_search | Networks in the public sector a multilevel framework and systematic review |
| title_exact_search_txtP | Networks in the public sector a multilevel framework and systematic review |
| title_full | Networks in the public sector a multilevel framework and systematic review Michael D. Siciliano, University of Illinois Chicago, Weijie Wang, University of Missouri, Qian Hu, University of Central Florida, Alejandra Medina, University of Illinois Chicago, David Krackhardt, Carnegie Mellon University |
| title_fullStr | Networks in the public sector a multilevel framework and systematic review Michael D. Siciliano, University of Illinois Chicago, Weijie Wang, University of Missouri, Qian Hu, University of Central Florida, Alejandra Medina, University of Illinois Chicago, David Krackhardt, Carnegie Mellon University |
| title_full_unstemmed | Networks in the public sector a multilevel framework and systematic review Michael D. Siciliano, University of Illinois Chicago, Weijie Wang, University of Missouri, Qian Hu, University of Central Florida, Alejandra Medina, University of Illinois Chicago, David Krackhardt, Carnegie Mellon University |
| title_short | Networks in the public sector |
| title_sort | networks in the public sector a multilevel framework and systematic review |
| title_sub | a multilevel framework and systematic review |
| topic | Public administration / Research / Methodology Multilevel models (Statistics) Policy networks Social networks |
| topic_facet | Public administration / Research / Methodology Multilevel models (Statistics) Policy networks Social networks |
| url | https://doi.org/10.1017/9781009104241 |
| work_keys_str_mv | AT sicilianomichaeld networksinthepublicsectoramultilevelframeworkandsystematicreview |