Node connection strength in Econometree.
Each node in Econometree can be characterized by its mean distance from every other
node. Below is a histogram of mean distances for every node in the tree.
The final bin includes nodes that are not connected to the main tree.
Note also that only individuals whose primary affiliation is this tree are included. Nodes cross-listed
from other academic trees are included on their primary tree.
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Mean inter-node distance | ||
| 16- |
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| 13- | ||
| 10- | ||
| 6- | ||
| 3- | ||
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| 10 | 11+ | |
| Mean distance | ||
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Number of nodes | ||
20 most tightly coupled nodes.
Below are the Econometree nodes with shortest mean distance.
| Rank | Mean dist | Name | Institution | Area | Date | |
| 1 | 9.53 | Tjalling Charles Koopmans (Info) | Yale University | econometrics | 2009-05-17 | |
| 2 | 10.41 | Mark Horowitz (Info) | University of Kansas | Physical chemistry, analytical chemistry, mass spectrometry, hydrogen exchange | 2016-01-01 | |
| 3 | 10.62 | Jan Tinbergen (Info) | Erasmus University Rotterdam | econometrics | 2009-05-17 | |
| 4 | 2055.77 | Alan V. Deardorff (Info) | University of Michigan, Ann Arbor | 2008-01-17 | ||
| 5 | 2664.89 | Filip Abraham (Info) | Katholieke Universiteit Leuven | 2008-01-17 | ||
| 6 | 3128.35 | Robert M. Stern (Info) | University of Michigan, Ann Arbor | 2008-01-17 | ||
| 7 | 3346.6 | Drusilla K. Brown (Info) | Tufts University | 2008-01-17 | ||
| 8 | 3346.6 | Dukgeun Ahn (Info) | 2008-01-17 | |||
| 9 | 3346.6 | Ronald W. Jones (Info) | Cornell University | 2008-01-17 | ||
| 10 | 3346.6 | Jaroslav Vanek (Info) | Cornell University | 2008-01-17 | ||
| 11 | 4232.47 | Ragnar Nurkse (Info) | Columbia University | 2008-01-17 | ||
| 12 | 5996 | Robert M. Solow (Info) | Massachusetts Institute of Technology | Business Economics, Corporate Finance, History & Philosophy of Economics | 2008-01-18 | |
| 13 | 7725.25 | Ying Fang (Info) | Rice University | Applied Econometrics | 2015-09-28 | |
| 14 | 7994.67 | Michael David Intriligator (Info) | University of California, Los Angeles | Econometrics, strategy, arms control, health economics, transitional economies | 2008-01-17 | |
| 15 | 7994.67 | Wassily Wassilyovitch Leontief (Info) | New York University | international trade, input-output analysis, general equilibrium, composite commodity theory | 2008-01-18 | |
| 16 | 11586.8 | Maureen Pirog (Info) | Indiana University, Bloomington | Public Policy | 2014-10-24 | |
| 17 | 11992 | Harold Hotelling (Info) | Columbia University | statistician, economist | 2008-01-17 | |
| 18 | 17193.3 | Maithreyi Gopalan (Info) | Indiana University, Bloomington | Public Policy | 2014-10-24 |
Distribution of individual connectivity.
Another way to look at the Econometree graph is to plot a histogram of
researchers (nodes) based according to the number of immediate connections
(edges) they have to other researchers. The final bin includes nodes with
16 or more connections. The actual distribution has a very long tail, with a maximum of 61 connections. Thanks to Adam Snyder for suggesting this analysis!
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Edge vs node distribution | ||||||||||||||||
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| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16+ | |
| Number of connections | ||||||||||||||||
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Node count | ||||||||||||||||