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As a similarity measure between two articles we adopted their cosine distance in the bag-of-words space.
Similar(59)
There's tantalizing proximity between two articles from April 11.
Surely the correlation between two articles in The Times shows a very disturbing cultural change in our society.
Figure 1 Quantifying the similarity between two articles based on their bibliographies.
Similarity between two articles can be measured in a number of ways.
The similarity between two articles can be defined in terms of the overlap between their reference lists.
The identification of a statistically significant similarity between two articles can be used to uncover potentially missing references.
Figure 2 The probability (pmb{P_{ito j}(p^) to observe a citation between two articles whose bibliographies overlap is statistically significant at the threshold value (pmb{p^).
The weight of the link between two nodes is designed to reflect the level of content similarity between two articles, i.e. the overlap between the respective lists of concepts.
Nevertheless, it is possible to draw upon the same idea used to construct bipartite SVNs, and define a similarity between two articles based on the overlap between their reference lists.
Indeed, sharing a widely used concept should affect the similarity between two articles differently than sharing a specific one, suggesting that specific concepts should have a higher impact on the similarity.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com