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After every candidate keyword is identified and the graph of word co-occurrences is created, a score is then calculated for each candidate keyword and defined as the sum of its member word scores as shown in Figure 2399. Several metrics for calculating word scores can be evaluated, based on the degree and frequency of word vertices in the graph:
          i) Word frequency (freq(w)).
          ii) Word degree (deg(w)).
          iii) Ratio of degree to frequency (deg(w)/freq(w)).

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 [1] Michael W. Berry and Jacob Kogan, Text Mining: Applications and Theory, 2010.