Process / pipeline

Text Network Analysis — Mapping Meaning as a Graph

Text network analysis models the words or concepts in a text as nodes and their co-occurrences as edges, then uses network metrics to reveal the structure of meaning. The approach was advanced by Diesner and Carley (2005) for communication networks and by Paranyushkin (2011) for tracing the pathways of meaning circulation in text.

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Sources

  1. Paranyushkin, D. (2011). Identifying the Pathways for Meaning Circulation Using Text Network Analysis. Nodus Labs. link
  2. Diesner, J. & Carley, K. M. (2005). Exploration of Communication Networks from the Enron Email Corpus. SIAM International Conference on Data Mining, Workshop on Link Analysis, Counterterrorism and Security. link

Related methods

Referenced by

ScholarGateText Network Analysis (Text Network Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/text-network-analysis