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Exact(13)
The thicker of the edge between two terms is, the stronger association between two terms is, and vice versa.
The weight of association between two terms is calculated in the Eq. (2).
The semantic similarity between two terms is set to a function of the maximum of the product of best path between the terms.
IC is the amount of information a term contains, meaning that a term contains less information if it occurs very often; in this context the similarity between two terms is quantified looking at the amount of information they share.
Next, the distance between two terms is defined as the cosine similarity of their document vectors.
The relationship between two terms is often correlated to their co-occurrence in a sentence.
Similar(47)
This similarity measure takes on values between 0 and 1 (see Methods section), with the similarity between two terms being 0 if their only common ancestor in the GO-hierarchy is the hierarchy root term: "biological process" (GO 0008150).
The scaled ratio between these two terms is given by the magnetic Reynolds number Rm=frac{UD}{lambda } (10 where U is a typical velocity scale.
If two terms have distance below a given threshold, then an edge between the two terms is added.
In this case, the similarity between these two terms is proportional to the information content of the most informative common ancestor between them.
For the present work, we agree with the definitions given by Halley and Winkler [ 36] where the main distinction between the two terms is energy dissipation.
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