Navigating science using citation networks - Carl T. Bergstrom
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Photo:Michael Kareken
Exponentially increasing literature rescholarly literature
Robert Aboukhalil (2014)
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How do we sort through the onslaught of papers and find the ones we actually need to read?
Photo: Special Libraries Association
The journal browsing model is broken, and in its place we increasingly rely on a single tool…
• Which runs an unknown proprietary algorithm • On an unspecified corpus • With no potential for customization • Or experimentation • Or community development
There’s no guarantee it is going to stay around…
And there’s no guarantee that big publishing wants to let it stay around.
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The problem of finding what papers we need to be reading is much too important to leave to a Google 20% time project with an uncertain future.
So what do we do ?
We must take ownership of own scholarly output
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Full text
Citation network
well-formed.eigenfactor.org
Unknown stock(?) image
Full text
No legal obstacle
Citation network
well-formed.eigenfactor.org
But this is an insanely big job! >100 million papers > 1 billion citations Typing at 100 words a minute, 24 hours a day, 365 days a week, it would take me around 100 years to type the reference for each paper. If I could enter 10 citations a minute, it would take me another 300 years to enter the full citation list.
Assemble citation networks using data from many sources
The Eigenfactor Algorithm
Study, and publicize, the economics of journal subscriptions
Eigenfactor.org
Study, and publicize, the economic effectiveness of open access publishing
Eigenfactor.org
The map equation
Mapequation.org
good maps simplify and highlight relevant structures
Eigenfactor.org
Rosvall and Bergstrom (2011) PLoS One
Rosvall and Bergstrom (2008) PNAS
“coverage”
Impact factor Althouse et al (2009) JASIST
Rosvall and Bergstrom (2011) PLoS One
Eigenfactor.org
0.20 0.15
last author
0.10
percentage of women
0.25
0.30
What gender disparities remain in scholarly publishing?
first author 1920
1940
1960
1980
2000
West et al. 2013 PLoS One
Rosvall and Bergstrom (2010) PLoS One
Vilhena et al. (2014)
Scholarly article recommendation as a service
http://recommends.eigenfactor.org
Eigenfactor Recommendation Lab A-B testing, API for results, algorithm plug-in
