Node connection strength in Geotree.
Each node in Geotree 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

9-
7-
5-
4-
2-

9 10 11 12 13 14 15 16 17 18 19+
Mean distance
 Number of nodes 



20 most tightly coupled nodes.
Below are the Geotree nodes with shortest mean distance.

Rank Mean dist Name Institution Area Date
1 8.72 Rolf E. Aalto (Info) University of Exeter River Basin Science, Geochronology 2015-11-30
2 10.64 Cesare Emiliani (Info) University of Miami paleoclimatology, paleoceanography 2015-11-20
3 10.95 Esper S. Larsen, Jr. (Info) Harvard University Petrography 2013-03-18
4 11.57 Karl Heinrich (Harry) Ferdinand Rosenbusch (Info) Ruprecht-Karls-Universität Heidelberg Geology and petrography 2011-07-23
5 11.94 Andrew Cowper Lawson (Info) University of California, Berkeley Geology, Mineralogy 2014-04-05
6 12.04 Waldemar Lindgren (Info) Massachusetts Institute of Technology Economic geology 2012-07-08
7 12.23 George Huntington Williams (Info) Johns Hopkins University petrography 2014-04-05
8 12.66 Patrick M. Hurley (Info) Massachusetts Institute of Technology Geochronology 2016-02-01
9 13.63 Ferdinand Zirkel (Info) Universität Leipzig geology and petrography 2011-06-25
10 13.65 J. William Schopf (Info) University of California, Los Angeles 2014-08-15
11 13.82 Clarence Luther Herrick (Info) Denison University geology, natural history, biology, neurology 2016-02-25
12 14.15 Warren J. Mead (Info) Massachusetts Institute of Technology Experimental geology 2016-02-01
13 14.68 Arnold Escher von der Linth (Info) Eidgenössische Technische Hochschule Zürich Geology 2015-02-23
14 14.77 Johann Jacob Nöggerath (Info) Rheinische Friedrich-Wilhelms-Universität Bonn Mineralogy and geology 2014-05-12
15 14.9 Theodor Heinrich Behrens (Info) Polytechnical School in Delft geology, mineralogy 2015-02-26
16 14.99 Harry Hammond Hess (Info) Princeton University plate-tectonics 2014-09-26
17 15.07 Robert P. Meyer (Info) University of Wisconsin, Madison Crustal seismology 2016-03-01
18 15.29 Douglas Wilson Johnson (Info) Columbia University Geography 2016-02-25
19 15.35 Newton Horace Winchell (Info) University of Minnesota, Twin Cities Geology 2016-02-25
20 15.49 George P. Woollard (Info) University of Wisconsin, Madison 2016-03-01


Distribution of individual connectivity.
Another way to look at the Geotree 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 59 connections. Thanks to Adam Snyder for suggesting this analysis!

Edge vs node distribution

1330-
1064-
798-
532-
266-

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