Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Network Agenda-Setting× | Semantic Network Analysis× | |
|---|---|---|
| Галузь | Communication | Communication |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2011 | 1999 |
| Автор методу≠ | Lei Guo & Maxwell McCombs | George Barnett, Marya Doerfel, Steven Corman (communication applications) |
| Тип≠ | Network-analytic extension of agenda-setting theory | Network representation of concepts and their co-occurrence in text |
| Основоположне джерело≠ | 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 ↗ | Corman, 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 ↗ |
| Інші назви | Network agenda setting model, Third-level agenda setting, NAS model, Ağ Gündem Belirleme | Text network analysis, Concept co-occurrence network analysis, Centering resonance analysis, Anlamsal Ağ Analizi |
| Пов'язані | 4 | 4 |
| Підсумок≠ | 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. | Semantic network analysis represents the meaning of a text or corpus as a network of concepts connected by their co-occurrence or grammatical proximity, then uses network-analytic measures to reveal which ideas are central, how concepts cluster, and how shared meaning is structured. In communication research it is the standard way to map the conceptual architecture of media coverage, organizational discourse, and public conversation at scale. |
| ScholarGateНабір даних ↗ |
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