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Network Text Analysis×Network Agenda-Setting×
AlanCommunicationCommunication
AileProcess / pipelineProcess / pipeline
Köken yılı20022011
KökenCorman et al. (centering resonance analysis); network text traditionLei Guo & Maxwell McCombs
TürRepresentation and analysis of text as networks of linked conceptsNetwork-analytic extension of agenda-setting theory
Seminal kaynakCorman, S. R., Kuhn, T., McPhee, R. D., & Dooley, K. J. (2002). Studying complex discursive systems: Centering resonance analysis of communication. Human Communication Research, 28(2), 157–206. DOI ↗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. DOI ↗
Diğer adlarText network analysis, Centering resonance analysis, Concept network analysis, Ağ Tabanlı Metin AnaliziNetwork agenda setting model, Third-level agenda setting, NAS model, Ağ Gündem Belirleme
İlişkili44
ÖzetNetwork text analysis represents the content of text not as counts of words or topics but as a network of concepts linked by their relationships, then applies social-network methods to reveal which ideas are central and how they connect. Centering resonance analysis (CRA), introduced by Corman and colleagues in 2002, is a leading variant that builds concept networks from the noun phrases that structure discourse.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.
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ScholarGateYöntem Karşılaştırma: Network Text Analysis · Network Agenda-Setting. 2026-06-24 tarihinde şu adresten erişildi: https://scholargate.app/tr/compare