Node connection strength in STSTree.
Each node in STSTree 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 |
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20 most tightly coupled nodes.
Below are the STSTree nodes with shortest mean distance.
| Rank | Mean dist | Name | Institution | Area | Date | |
| 1 | 35.29 | Martina Sokolowsky (Info) | University of California, Davis | Sensory | 2016-03-02 | |
| 2 | 37.13 | Pauline Lestringant (Info) | University of California, Davis | Food science, Sensory science | 2016-03-02 | |
| 3 | 41.71 | Ulrich Fischer (Info) | DLR Rheinpfalz | 2016-03-02 | ||
| 4 | 476 | Ulrich Fischer (Info) | DLR Rheinpfalz | 2016-03-02 |
Distribution of individual connectivity.
Another way to look at the STSTree 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 102 connections. Thanks to Adam Snyder for suggesting this analysis!
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| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16+ | |
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