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Policy Network Analysis

Also known as: Policy Networks, Governance Network Analysis, Policy Network Approach

OriginatorR. A. W. Rhodes & David Marsh (British school); broader governance-network traditionYear1992Sources1Related methods8

Policy network analysis examines policymaking as the product of relationships among interdependent actors — government agencies, interest groups, experts and others — who exchange resources such as information, money, legitimacy and authority. In the influential British tradition associated with R. A. W. Rhodes and David Marsh, policy networks range along a continuum from tightly knit, exclusive 'policy communities' to loose, open 'issue networks', and the type of network is held to shape policy outcomes. More broadly, the approach applies the concepts and tools of social-network analysis to governance, treating the structure of ties among actors as a key explanatory variable.

Key highlights

  • Captures the relational, inter-organisational reality of modern governance.
  • Links the structure of actor relationships to patterns of policy stability and change.
  • Spans qualitative typologies and rigorous quantitative social-network methods.
  • Identifies key brokers, coalitions and subgroups that actor-by-actor analysis misses.

Intuition

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How it works

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When to use it

Use policy network analysis when policymaking in a domain is shaped by relationships among many interdependent organisations and you want to explain the pattern of influence, stability or change. It suits the study of governance, sectoral policymaking, interest-group politics and multi-level or collaborative governance, and the quantitative variant is powerful where relational data can be collected. It assumes a definable set of actors and meaningful ties among them. It is less suited where decisions are made hierarchically by a single authority, where relational data cannot be obtained, or where the priority is individual actors' beliefs rather than the structure connecting them — for which the advocacy coalition framework may fit better. It complements stakeholder analysis and process theories of policymaking.

Strengths & limitations

Strengths
  • Captures the relational, inter-organisational reality of modern governance.
  • Links the structure of actor relationships to patterns of policy stability and change.
  • Spans qualitative typologies and rigorous quantitative social-network methods.
  • Identifies key brokers, coalitions and subgroups that actor-by-actor analysis misses.
Limitations
  • Network boundaries are hard to define and choices about them strongly affect results.
  • Whether network structure causes outcomes or merely reflects them is contested.
  • Quantitative analysis demands complete relational data that are difficult and costly to gather.
  • The British typological tradition has been criticised as descriptive rather than genuinely explanatory.

Common pitfalls

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Applications

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Frequently asked

What is the difference between a policy community and an issue network?

In the Rhodes-Marsh continuum, a policy community is a tightly integrated, stable and exclusive network with a limited number of members who share basic values, exchange resources frequently and exclude outsiders; it tends to produce consensual, incremental policy. An issue network is the opposite pole: a large, loose, unstable and open set of participants with fluctuating contact and limited consensus, associated with more contested and volatile policy. Most real networks fall somewhere between these ideal types, and locating a network on the continuum is a central task of the qualitative tradition.

How does policy network analysis relate to social-network analysis?

Social-network analysis is the general methodology for studying relationships among any set of entities, with formal measures such as density, centrality and clustering. Policy network analysis applies these ideas to governance, treating policy actors as nodes and their resource exchanges or interactions as ties. The qualitative British tradition uses the network idea more as an organising metaphor and typology, while the quantitative strand uses the full apparatus of social-network analysis to measure structure rigorously and relate it to outcomes. The two strands increasingly converge.

Why is defining the network boundary so important?

Because networks do not have natural edges, the analyst must decide who is in and who is out, and that decision can strongly shape the measured structure and the conclusions drawn. Include too few actors and you may miss the ties that matter; include too many and the network's distinctive features blur. Boundary specification should therefore be explicit and justified — by a positional criterion (formal membership), a reputational one (whom insiders name) or an event-based one (participation in decisions) — and analysts should test how sensitive their findings are to these choices.

Sources

  1. 1.
    Marsh, D., & Rhodes, R. A. W. (Eds.) (1992). Policy Networks in British Government. Oxford: Clarendon Press.
    ISBN 9780198278528

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ScholarGate. (2026, June 22). Policy Network Analysis. ScholarGate. https://scholargate.app/public-policy/policy-network-analysis