Network Agenda-Setting
Also known as: Network agenda setting model, Third-level agenda setting, NAS model, Ağ Gündem Belirleme
Network agenda-setting (NAS), also called third-level agenda setting, extends classic agenda-setting theory by proposing that news media transfer to the public not only the salience of issues (first level) and of attributes (second level), but the very web of associations among issues and attributes. Introduced by Lei Guo and Maxwell McCombs, the method represents the media agenda and the public agenda as networks and tests whether the media's bundling of elements is reproduced in the public's mind.
Key highlights
- Captures the relational structure of agendas — which elements are bundled — that ranking-based agenda-setting measures ignore.
- Unifies issue-level and attribute-level agenda setting within a single network framework.
- Uses QAP, a permutation test designed for the dependence in network data, giving statistically defensible matrix comparisons.
- Connects mass-communication theory to the well-developed toolkit of social and semantic network analysis.
Intuition
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How it works
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When to use it
Use network agenda-setting when your interest is in how bundles of issues or attributes are linked together in media coverage and in audience cognition, rather than the salience of single elements in isolation. It is appropriate when you can measure co-occurrence in both arenas — for example, content-analyzed news plus an open-ended or association survey — and when theory suggests the relational structure, not just the ranking, carries the effect. It assumes co-occurrence is a valid proxy for cognitive association and that the element set is comparable across arenas. It is unnecessary when first- or second-level salience rankings already answer the question, and it is unreliable when the public-agenda network is built from too few respondents or sparse association data.
Strengths & limitations
- Captures the relational structure of agendas — which elements are bundled — that ranking-based agenda-setting measures ignore.
- Unifies issue-level and attribute-level agenda setting within a single network framework.
- Uses QAP, a permutation test designed for the dependence in network data, giving statistically defensible matrix comparisons.
- Connects mass-communication theory to the well-developed toolkit of social and semantic network analysis.
- Treats co-occurrence as a stand-in for cognitive association, an assumption that is plausible but not directly observed.
- Constructing a public agenda network requires association-type survey data that are harder to collect than salience rankings.
- Network correlation establishes correspondence, not causation; lagged or experimental designs are needed for directional claims.
- Results depend on how elements and co-occurrence windows are defined, and dense networks can yield inflated correlations.
Common pitfalls
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Applications
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Frequently asked
How is network agenda setting different from second-level agenda setting?
Second-level (attribute) agenda setting concerns the transfer of salience for individual attributes of an object — making certain characteristics prominent. Network agenda setting concerns the transfer of the relationships among elements: which issues or attributes are linked to which others. The first asks whether an attribute is salient; the third asks whether the entire web of associations in the media is reproduced in the public's cognition, which network analysis is purpose-built to measure.
Why use QAP instead of a normal correlation to compare the networks?
The cells of a network matrix are not statistically independent — they share nodes — so the usual assumptions behind a Pearson correlation's significance test are violated, and ordinary p-values are too small. The Quadratic Assignment Procedure computes the matrix correlation but tests it against a null distribution built by randomly permuting node labels many times, which respects the network's dependence structure and yields valid significance levels.
How do you build the public agenda network?
Typically from open-ended or association survey data: respondents list the issues, attributes, or considerations they associate with a topic, and the analyst counts how often each pair of elements is mentioned together across respondents. Those co-occurrences form the weighted public agenda network, which is then compared to the media network built the same way from coverage. Adequate sample size and a well-defined element set are essential for a stable public network.
Sources
- 1.Guo, L. (2012). The application of social network analysis in agenda-setting research: A methodological exploration. Journal of Broadcasting & Electronic Media, 56(4), 616–631.
- 2.McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176–187.
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Cite this page
ScholarGate. (2026, June 22). Network Agenda-Setting. ScholarGate. https://scholargate.app/communication/network-agenda-setting