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Process / pipelineText-as-network analysis

Semantic Network Analysis

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.

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Sources

  1. 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: 10.1111/j.1468-2958.2002.tb00802.x
  2. Doerfel, M. L., & Barnett, G. A. (1999). A semantic network analysis of the International Communication Association. Human Communication Research, 25(4), 589–603. DOI: 10.1111/j.1468-2958.1999.tb00463.x

How to cite this page

ScholarGate. (2026, June 22). Semantic Network Analysis of Communication Texts. ScholarGate. https://scholargate.app/en/communication/semantic-network-analysis

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Referenced by

ScholarGateSemantic Network Analysis (Semantic Network Analysis of Communication Texts). Retrieved 2026-06-24 from https://scholargate.app/en/communication/semantic-network-analysis · Dataset: https://doi.org/10.5281/zenodo.20539026