The WSDM Cup Challenge asked teams to use 30GB of data from the Microsoft Academic Graph to rank the importance of scholarly articles. Using a variant of the article-level Eigenfactor algorithm, we placed second overall, first in North America. We look forward to presenting our methods at WSDM 2016 in San Francisco.
Carl Bergstrom will be speaking at Conference on Complex Systems (CCS 2015) in Tempe, Arizona as part of the Quantifying Science workshop. He will discuss "Why scientists chase hot topics," presenting a game-theoretic model of project selection by scientific researchers.
The 2013 Eigenfactor metrics are now available here at eigenfactor.org. New for this year, we are adding the Normalized Eigenfactor score, a more-readable, easily interpretable version of the classic Eigenfactor score.
Today we are releasing an entirely rebuilt website, highlighting the diversity of tools and research directions we have developed as part of the Eigenfactor Project.
JSTOR Labs visits the Eigenfactor Team
The folks from JSTOR Labs spent a week visting the University of Washington to develop new features including article recommendations and a timeline of influential articles for JSTOR's Sustainability library, based on the Eigenfactor Recommendation Engine. A demo is coming soon!