Using Content Analysis to Measure Scholarly Impact

22 October 2010 at 3:19 pm 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. Tags: .

Missouri Information Encountering Workshop Earning My Keep. . . .

4 Comments Add your own

  • 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”?

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