Porównaj metody

	Semantic Network Analysis	LIWC Text Analysis
Dziedzina	Communication	Communication
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1999	2001
Twórca	George Barnett, Marya Doerfel, Steven Corman (communication applications)	James W. Pennebaker and colleagues
Typ	Network representation of concepts and their co-occurrence in text	Dictionary-based quantitative text analysis
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.	Tausczik, Y. R., & Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24–54.
Inne nazwy	Text network analysis, Concept co-occurrence network analysis, Centering resonance analysis, Anlamsal Ağ Analizi	Linguistic Inquiry and Word Count, LIWC dictionary analysis, Word-count text analysis, LIWC Metin Analizi
Pokrewne	4	4
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.	LIWC (Linguistic Inquiry and Word Count) is a dictionary-based text-analysis method that counts the proportion of words in a text falling into psychologically and linguistically meaningful categories — such as positive emotion, cognitive processing, social references, and function words like pronouns. Developed by James Pennebaker and colleagues, it has become a workhorse for quantifying the psychological and rhetorical character of communication at scale.