Eigen factor? This post is a bit of a place holder for more thought (and a way to not be working on my, oh, 3 research papers and one white paper for work...).

The Bergstrom lab in the Department of Biology at the University of Washington has developed a new metric for journal impact roughly based on eigenvector centrality in SNA (note: linked description needs to be read continuously for an hour to make sense). The math bit for this measure is actually understandable so read it if you get a chance.

Odds that I'll ever get back to this are slim so .. this could make a slight bit of sense in the Ellis-chaining-sense...

The categories are screwy, but they come directly from JCR, I think so this project isn't to be judged on that.

I wonder if this can be gamed by journal editors requiring authors to cite articles in their journals (in order to get published in that same journal?). The web commentary seems to be "discovering" the many pitfalls of citation analysis so this is probably a good thing either way.

Labels: bibliometrics, citation analysis, impact factor

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