Node connection strength in Terrestrial Ecology Tree.
Each node in Terrestrial Ecology Tree 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 | |
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10+ | |
Mean distance | |
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20 most tightly coupled nodes.
Below are the Terrestrial Ecology Tree nodes with shortest mean distance.
Rank | Mean dist | Name | Institution | Area | Date | |
1 | 9.57 | George Evelyn Hutchinson (Info) | Yale University | zoology, ecology, limnology | 2008-04-03 | |
2 | 9.67 | Sovith Sin (Info) | Iowa State University | Polymers, Materials Science | 2015-11-30 | |
3 | 9.67 | Hanhong Bae (Info) | Iowa State University | Polymers, Materials Science | 2015-11-30 | |
4 | 9.67 | Ronald S. Zalesny (Info) | Iowa State University | Polymers, Materials Science | 2015-11-30 | |
5 | 9.67 | Valasia Iakovoglou (Info) | Iowa State University | Polymers, Materials Science | 2015-11-30 | |
6 | 9.67 | Jill A. Zalesny (Info) | Iowa State University | Polymers, Materials Science | 2015-11-30 | |
7 | 9.67 | William L. Headlee (Info) | Iowa State University | Polymers, Materials Science | 2015-11-30 | |
8 | 25.43 | William Francis Ganong (Info) | Smith College | regional historian, cartographer, botanist, linguist | 2012-06-12 | |
9 | 30.93 | Paul Hermann (Info) | Leiden University | botany | 2015-01-01 | |
10 | 4976.62 | G. Philip Robertson (Info) | Michigan State University | Ecology Biology, Soil Science Agriculture, Biogeochemistry | 2016-01-20 | |
11 | 6635.5 | Natalie Mladenov (Info) | University of Colorado, Boulder | Hydrology, Biogeochemistry, Environmental Engineering, Environmental Sciences | 2016-02-12 |
Distribution of individual connectivity.
Another way to look at the Terrestrial Ecology Tree 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 103 connections. Thanks to Adam Snyder for suggesting this analysis!
Edge vs node distribution | ||||||||||||||||
2578- |
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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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