Salīdzināt metodes

	Network Text Analysis	Semantic Network Analysis
Nozare	Communication	Communication
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2002	1999
Autors	Corman et al. (centering resonance analysis); network text tradition	George Barnett, Marya Doerfel, Steven Corman (communication applications)
Tips	Representation and analysis of text as networks of linked concepts	Network representation of concepts and their co-occurrence in text
Pirmavots	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.	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.
Citi nosaukumi	Text network analysis, Centering resonance analysis, Concept network analysis, Ağ Tabanlı Metin Analizi	Text network analysis, Concept co-occurrence network analysis, Centering resonance analysis, Anlamsal Ağ Analizi
Saistītās	4	4
Kopsavilkums	Network 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.	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.