Unpacking the Influence of Policy Advice Using Citation Network Analysis

Dados Bibliográficos

ID6360593
AutoresJohan Christensen (0000-0002-2582-7827, Leiden University), Petra Van Den Bekerom (0000-0003-0299-5657, Leiden University)
Ano2025
Data de publicação2025-07-28
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoPublic Administration Review (JOURNAL)
Identificadores do periódicoISSN: 0033-3352 • E-ISSN: 1540-6210
EditoraWiley (PUBLISHER • GB)
DOI10.1111/puar.70014
OpenAlexW4412697113
IdiomaEN
Citações recebidas2
Referências citadas47

Public policy often builds on a large body of policy advice—produced by bureaucrats, advisory bodies, scientists, and consultants—that has accumulated over time about a specific policy problem and appropriate policy responses. Yet, how this body of policy advice develops and which pieces of advice influence subsequent policy recommendations is poorly understood. We seek to fill this gap by proposing a novel conceptualization and methodological approach for unpacking the influence of policy advice on other policy advice. First, we distinguish four conceptual dimensions along which the influence of policy advice varies: lasting influence, broad influence, influential followers, and influence as broker. Second, we propose citation network analysis as a methodological tool for measuring these multiple dimensions of influence. We present a set of citation network measures of influence and illustrate their usefulness by analyzing influence patterns within a large network of Norwegian advisory reports

Advice (programming · Citation · Library science · Sociology · Unpacking · Computer Science · scientometrics and bibliometrics research