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An H index provides a trade off between quality and quantity. It attempts to measure both impact (citations in the case of academics, or upvotes in the case of
by dkopi 10y ago
An H index provides a trade off between quality and quantity. It attempts to measure both impact (citations in the case of academics, or upvotes in the case of HN), and quantity.
You'll have a low H index if you have lots of low quality submissions, and you'll have a low H index if you have very few ultra successful submissions.
From wikipedia:
The definition of the index is that a scholar with an index of h has published h papers each of which has been cited in other papers at least h times.[4] Thus, the h-index reflects both the number of publications and the number of citations per publication. The index is designed to improve upon simpler measures such as the total number of citations or publications.
- akavel 10y agoBut IIUC, if one submits 1000 links and 10% of them get 100+ votes, while the rest get <100, then one's h-index is the same (100) as if one submitted 100 links, but all of them got 100+ votes. So, it doesn't measure "spaminess". That's what the question was about, I believe - is there a way to take this into account, while not losing the good parts of h-index.
- dorfsmay 10y agoThe median would solve the spamminess, but it'd completely eliminate the high scores. That's why a lot of people like to look at more than one number when looking at a set summary, but you can't compare and classify these as easily. https://en.m.wikipedia.org/wiki/Five-number_summary https://en.m.wikipedia.org/wiki/Five-number_summary