Сравнение методов

	Social Media Network Analysis	Network Text Analysis
Область	Communication	Communication
Семейство	Process / pipeline	Process / pipeline
Год появления	2017	2002
Автор метода	Social network analysis tradition (Wasserman & Faust); Himelboim et al. for platform typologies	Corman et al. (centering resonance analysis); network text tradition
Тип	Structural analysis of relationships among social-media actors	Representation and analysis of text as networks of linked concepts
Основополагающий источник	Himelboim, I., Smith, M. A., Rainie, L., Shneiderman, B., & Espina, C. (2017). Classifying Twitter topic-networks using social network analysis. Social Media + Society, 3(1), 1–13.	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.
Другие названия	Social media SNA, Online interaction network analysis, Platform conversation network analysis, Sosyal Medya Ağ Analizi	Text network analysis, Centering resonance analysis, Concept network analysis, Ağ Tabanlı Metin Analizi
Связанные	4	4
Сводка	Social media network analysis applies social-network methods to the relationships among accounts on platforms — who follows, mentions, replies to, retweets, or shares whom — to reveal the structure of online conversation. By representing interactions as a graph and computing measures of centrality and community, it identifies influential actors, cohesive clusters, and the overall shape of public discourse around a topic.	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.