Eigenfactor: ranking and mapping scientific knowledge
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1 Eigenfactor: ranking and mapping scientific knowledge Jevin D. West University of Washington
2 The Eigenfactor Algorithm Q: How can we better evaluate the scholarly literature? The Eigenfactor Project Q: How does network structure affect function?
3 Citation Networks, Scaling Up Network Effects, Centrality Eigenfactor, Article Influence Mapping, Microsoft Academic Search
4 Citation Networks, Scaling Up Citation Networks
5 Citations
6 Citations
7
8 Scholarship is all about the flow of ideas
9 Networks are all about the flow of information
10 Citations form a vast network de Solla Price, Science (1965)
11 Citations among Authors Eugene Garfield Derek de Solla Price
12 Citations among Journals Physical Review Letters Ecology Letters
13 What happens when you scale up? 12, ,000,000 Journals Citations
14 Network Effects Network Effects, Centrality
15 High School Dating Network Image Courtesy of Mark
16 High School Dating Network System Scale: Network Topology Matters Q: Which network would MONO prefer? Individual Scale: Connection Source Matters Q: Which girl/boy should I date if I don t want MONO?
17 Who is the most influential high school student? Image Courtesy of Mark
18 Degree Centrality Eigenvector Centrality
19 Number of students Links 9 Degree Centrality
20 Accounting for the Network
21 The Network Matters
22 This network property of the scholarly literature was largely ignored over the first century of scholarly evaluation. How can we extract this information in order to better measure information flow?
23 Impact factor Garfield, Science (1955) Cites in 2010 to articles in 2009 or 2008 Number of articles in 2009 and 2008
24 Impact Factor citations IF 2010 = 3 2 2
25 Impact Factor Eigenfacto r
26 Citation Networks, Scaling Up Network Effects, Centrality Eigenfactor, Article Influence Mapping, Future Directions
27 Bergstrom (2007); West et al (2010) Eigenfactor algorithm EF =100 Hp [Hp ] i å i Leading eigenvector of the random walk matrix P. Normalization
28 25 nodes and 42 weighted, directed links Which node is the most central?
29 Deterministic: iterative voting Stochastic: random walker Applet: Daniel Edler
30 Eigenfactor Top Ten Journals in Science (2008) Rank Journal Eigenfactor 1 Nature PNAS Science Journal of Biological Chemistry Physical Review Letters Journal of the American Chemical Society Physical Review B Applied Physics Letters New England Journal of Medicine Cell 0.67 Total number of journals ranked =
31 Eigenfactor Top Ten Journals in Science (2008) Rank Journal Eigenfactor 1 Nature 1.76 % 2 PNAS 1.70 % 3 Science 1.58 % 4 Journal of Biological Chemistry 1.33 % 5 Physical Review Letters 1.28 % 6 Journal of the American Chemical Society 0.95 % 7 Physical Review B 0.77 % 8 Applied Physics Letters 0.72 % 9 New England Journal of Medicine 0.68 % 10 Cell 0.67 % Total number of journals ranked =
32 Eigenfactor, Ranking & Article Influence = Eigenfact or # articles
33 Article Influence Top Ten Journals in Science (2008) Rank Journal Article Influence 1 Review of Modern Physics Annual Review of Immunology Annual Review of Biochemistry Nature Reviews Molecular Cell Biology Annual Review of Neuroscience Cell New England Journal of Medicine CA A Cancer Journal for Clinicians Nature Science 16.3 Total number of journals ranked =
34
35
36 Mapping Mapping, Future Directions
37 good maps simplify and highlight relevant structures
38 The Map Equation The map equation tells us the description length for a particular
39 Rosvall & Bergstrom (2008)
40 Hierarchical Maps Rosvall & Bergstrom (2011)
41
42 Rosvall & Bergstrom (2010)
43 Mapping, Microsoft Academic Future Directions
44 How can we better evaluate the scholarly literature?
45 How can we better navigate the scholarly literature?
46 Eigenfactor and Microsoft Academic Research
47
48 Three things to remember 1. The scholarly literature forms a vast network 2. There is a wealth of information in the structure of network 3. Eigenfactor is a network metric that ranks scholarly journals
49 Acknowledgements Carl Bergstrom Daril Vilhena Rosvall Martin Ben Althouse Ted Bergstrom Johan Bollen Ralph Dandrea Gail Dykstra Daniel Edler Alan Yen Gregg Gordon Michael Jensen Michael Kurtz Moritz Stefaner Theresa Portzer National Science Foundations National Institutes of Health
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