Co-word analysis

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Co-word analysis
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Category: Co-word analysis
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Text mining

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Co-word analysis is a text mining method to find themes in a set of documents. It has been used in scientometrics.

[edit] Method

From a set of documents:[1]

  1. Extract words
    1. Either keywords selected by indexers
    2. Words directly from full-text documents
  2. Vocabulary standardization[2]
  3. Build matrix with word co-occurences

From there a variety of approaches seems to have been used:

  1. Hierarchical clustering[3]
  2. multidimensional scaling[4]

Some researchers interprete the co-word analysis results in terms of two dimensions and the analysis is performed in a network analysis framework: density and centrality. When plotted in a two-dimensional plot the quandrants are labled:[5]

  1. Motor themes, "mainstream"
  2. Developed but isolated themes, "ivory tower"
  3. Emerging or declining themes, "chaos/unstructured"
  4. Basic and transveral themes, "bandwagon".

Part of this terminology seems to originate with the CoPalRed tool and one early use of the term "motor theme" is The scientific network of surfactants: structural analysis

[edit] Papers

  1. Bibliometric cartography of information retrieval research by using co-word analysis
  2. Co-word analysis of the trends in stem cells field based on subject heading weighting
  3. From translations to problematic networks: an introduction to co-word analysis
  4. Sketching the first 45 years of the journal Psychophysiology (1964–2008): a co‐word‐based analysis
  5. The big hole in HCI research
  6. The scientific network of surfactants: structural analysis

[edit] Reference

  1. Bibliometric cartography of information retrieval research by using co-word analysis
  2. Bibliometric cartography of information retrieval research by using co-word analysis
  3. Bibliometric cartography of information retrieval research by using co-word analysis
  4. Bibliometric cartography of information retrieval research by using co-word analysis
  5. The big hole in HCI research
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