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A comment on Bias Against Novelty in Science.
- bucketing citations into journals
- building a network of journals with edge weights defined by the number of papers that cite both journals
- Using cosine similarity between journals (cf https://en.wikipedia.org/wiki/Similarity_(network_science)#C... ) in this network to define how banal it is to cite them together
- For a new paper, they recompute this matrix and define novelty by summing 1-banality over the new edges
I don't know if their method reduces to a standard thing from network science (eg. betweenness, centrality, ?) but I would not be surprised if it did.
A closely-related paper with a totally-different writing style did something like this a few years back:
"Citing for High Impact" https://cs.stanford.edu/people/jure/pubs/citations-jcdl10.pd...
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- bucketing citations into journals
- building a network of journals with edge weights defined by the number of papers that cite both journals
- Using cosine similarity between journals (cf https://en.wikipedia.org/wiki/Similarity_(network_science)#C... ) in this network to define how banal it is to cite them together
- For a new paper, they recompute this matrix and define novelty by summing 1-banality over the new edges
I don't know if their method reduces to a standard thing from network science (eg. betweenness, centrality, ?) but I would not be surprised if it did.
A closely-related paper with a totally-different writing style did something like this a few years back:
"Citing for High Impact" https://cs.stanford.edu/people/jure/pubs/citations-jcdl10.pd...