[Sigmetrics] references for scientific document citation networks
Kevin Boyack
kboyack at mapofscience.com
Tue Jun 7 00:07:18 EDT 2016
Dear Mark,
In the scientometrics world, article-to-article citation networks are known
as 'direct citation' networks. There are indeed many examples. The largest
such network of which I am aware is one that Dick Klavans and I have created
using the entire Scopus database using the new methodology created by CWTS @
Leiden University.
Relevant recent references with networks of 10M+ documents include:
* Waltman L, van Eck NJ. A new methodology for constructing a
publication-level classification system of science. Journal of the American
Society for Information Science and Technology. 2012;63(12):2378-92.
* Boyack, K. W., & Klavans, R. (2014). Including non-source items in a
large-scale map of science: What difference does it make? Journal of
Informetrics, 8(3), 569-580.
* Klavans, R. & Boyack, K. W. (2016). Which type of citation analysis
generates the most accurate taxonomy of scientific and technical knowledge?
JASIST forthcoming. Arxiv version at http://arxiv.org/abs/1511.05078.
Best regards,
Kevin Boyack
-----Original Message-----
From: SIGMETRICS [mailto:sigmetrics-bounces at asis.org] On Behalf Of Mark C.
Wilson
Sent: Monday, June 06, 2016 8:14 PM
To: sigmetrics at mail.asis.org
Subject: [Sigmetrics] references for scientific document citation networks
Dear Sigmetrists,
It is relatively easy to find (via e.g. Google Scholar) research on
collaboration networks, co-citation networks, journal to journal citation
networks, etc. However I find surprisingly little on the obvious topic of
article-to-article citation networks. I have a vague memory of seeing this
done for something like arXiv.org or DBLP, but have not been able to find
it. I did find one paper claiming to have built such a network with 236000
nodes by searching Journal Citation Reports - I have no idea how that could
be done on a reasonable budget.
Any hints to where to look would be greatly appreciated.
Mark C. Wilson, Department of Computer Science, University of Auckland
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