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Cited by 311

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Three Traditions of Network Research: What the Public Management Research Agenda Can Learn from Other Research Communities

Berry, Frances S., Brower, Ralph S., Choi, Sang Ok, Goa, Wendy Xinfang, Jang, HeeSoun, Kwon, Myungjung, Word, Jessica·2004·Public Administration Review

Abstract

This article identifies and describes the development of three parallel streams of literature about network theory and research: social network analysis, policy change and political science networks, and public management networks. Noting that these traditions have sometimes been inattentive to each other's work, the authors illustrate the similarities and differences in the underlying theoretical assumptions, types of research questions addressed, and research methods typically employed by the three traditions. The authors draw especially on the social network analysis (sociological) tradition to provide theoretical and research insights for those who focus primarily on public management networks. The article concludes with recommendations for advancing current scholarship on public management networks.

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Crossref · 10.1111/j.1540-6210.2004.00402.x

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Metadata

Authors
Berry, F. S., Brower, R. S., Choi, S. O., Goa, W. X., Jang, H., Kwon, M., & Word, J.
Venue
Public Administration Review
Publisher
Wiley
Published
2004-08-27
Volume
64
Issue
5
Pages
539-552
ISSN
  • 0033-3352 (ISSN-L)
  • 1540-6210
OpenAlex
W2066252707
Cited by
311
References
87
FWCI
30.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Three Traditions of Network Research: What the Public Management Research Agenda Can Learn from Other Research Communities. https://app.cochat.ai/papers/10.1111/j.1540-6210.2004.00402.x
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Berry, F. S., Brower, R. S., Choi, S. O., Goa, W. X., Jang, H., Kwon, M., & Word, J. (2004). Three Traditions of Network Research: What the Public Management Research Agenda Can Learn from Other Research Communities. Public Administration Review. https://doi.org/10.1111/j.1540-6210.2004.00402.x

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.