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	Semantic Network Analysis	Analiza treści
Dziedzina	Communication	Metody jakościowe
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1999	Systematised through Krippendorff's methodology work; 4th edition 2018
Twórca	George Barnett, Marya Doerfel, Steven Corman (communication applications)	Klaus Krippendorff (systematic formulation); roots in early 20th-century communications research
Typ	Network representation of concepts and their co-occurrence in text	Qualitative / mixed-method research technique
Źródło pierwotne	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.	Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
Inne nazwy	Text network analysis, Concept co-occurrence network analysis, Centering resonance analysis, Anlamsal Ağ Analizi	İçerik Analizi, systematic content coding, quantitative content analysis
Pokrewne	4	5
Podsumowanie	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.	Content analysis is a systematic research technique for reducing text, visual, or media material into coded categories so that patterns can be counted, compared, and interpreted. Formalised by Klaus Krippendorff in his widely cited methodology textbook (latest edition 2018), the method sits at the boundary of qualitative and quantitative inquiry: it imposes structured, replicable coding on inherently meaning-laden material.