Using Content Analysis to Measure Scholarly Impact
22 October 2010 at 3:19 pm Peter G. Klein 4 comments
| Peter Klein |
Two Princeton computer scientists have developed an algorithm for measuring scholarly impact based on content analysis, not citation data. Here’s the paper, and here’s a summary. I pay attention to impact factors (not as closely as some people) but am open to alternative measures — particularly any that might make me look better.
Entry filed under: - Klein -, Methods/Methodology/Theory of Science.
Organizations and Markets 
1.
srp | 22 October 2010 at 5:29 pm
This method incentivizes neologisms. If yours goes viral, your influence score increases. Hence the proliferation of overlapping terms and concepts in management would be further encouraged.
2.
Peter Klein | 23 October 2010 at 1:12 am
You got a name for that concern? :)
3.
gabrielrossman | 23 October 2010 at 6:03 pm
srp,
it seems like we already have that problem for similar (but more informal reasons). i’ve heard several different names for what is, in essence, swidler’s “tool kit” concept.
4.
Rafe | 23 October 2010 at 8:21 pm
“hyperincrimentalneologism”?