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.

Mean inter-node distance

16-
13-
10-
6-
3-

10 11+
Mean distance
 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 Jaroslav Vanek (Info) Cornell University 2008-01-17
8 3346.6 Ronald W. Jones (Info) Cornell University 2008-01-17
9 3346.6 Dukgeun Ahn (Info) 2008-01-17
10 3346.6 Drusilla K. Brown (Info) Tufts 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 52 connections. Thanks to Adam Snyder for suggesting this analysis!

Edge vs node distribution

18179-
14543-
10907-
7272-
3636-

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16+
Number of connections
 Node count