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OverviewNetworks 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. Full Product DetailsAuthor: Michael D. Siciliano (University of Illinois, Chicago) , Weijie Wang , Qian Hu (University of Central Florida) , Alejandra Medina (University of Illinois, Chicago)Publisher: Cambridge University Press Imprint: Cambridge University Press Dimensions: Width: 15.20cm , Height: 0.60cm , Length: 22.80cm Weight: 0.150kg ISBN: 9781009108416ISBN 10: 1009108417 Pages: 75 Publication Date: 25 August 2022 Audience: College/higher education , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of Contents1. Levels of Analysis and the Multilevel Network Framework; 2. Systematic Review Process and Findings; 3. Network Formation; 4. Network Effects; 5. Conclusion.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |