Node connection strength in IOTree.
Each node in IOTree 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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Mean distance |
20 most tightly coupled nodes.
Below are the IOTree nodes with shortest mean distance.
Rank | Mean dist | Name | Institution | Area | Date | |
1 | 4646.35 | Stephen J. Zaccaro (Info) | George Mason University | General Psychology, Behavioral Psychology, Ethnic and Racial Studies | 2016-03-29 | |
2 | 8549.28 | C. Shawn Burke (Info) | George Mason University | Industrial Psychology, Management Business Administration | 2016-03-30 | |
3 | 9715.09 | Steve Michael Jex (Info) | University of Central Florida | Occupational stress and wellbeing | 2016-03-30 | |
4 | 16440.9 | YoungAh Park (Info) | Bowling Green State University | Industrial Psychology, Social Psychology, Individual and Family Studies | 2016-03-30 | |
5 | 106866 | William Wooten (Info) | University of Central Florida | Industrial Psychology, Cognitive Psychology, Psychometrics Psychology | 2016-05-28 |
Distribution of individual connectivity.
Another way to look at the IOTree 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 45 connections. Thanks to Adam Snyder for suggesting this analysis!
Edge vs node distribution | ||||||||||||||||
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1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16+ | |
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