Node connection strength in BME Tree.
Each node in BME 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

174-
139-
104-
70-
35-

7 8 9 10 11 12 13 14 15 16 17 18 19+
Mean distance
 Number of nodes 



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

Rank Mean dist Name Institution Area Date
1 6.66 Christopher S. Chen (Info) Harvard University Tissue Microfabrication 2013-08-10
2 14.17 Corbin Z. Clawson (Info) University of California, San Diego Circuitry in Sensory Systems 2015-11-25
3 17.99 Artin Shoukas (Info) Johns Hopkins University School of Medicine 2012-05-03
4 19.24 Mary T. Draney (Info) Stanford University Biology 2015-10-19
5 19.24 Ryan L. Spilker (Info) Stanford University Biology 2015-10-19
6 19.24 Gilwoo Choi (Info) Stanford University Biology 2015-10-19
7 19.24 Hyun J. Kim (Info) Stanford University Biology 2015-10-19
8 19.24 Beverly T. Tang (Info) Stanford University Biology 2015-10-19
9 19.24 Irene E. Vignon-Clementel (Info) Stanford University Biology 2015-10-19
10 19.24 Joan M. Greve (Info) Stanford University Biology 2015-10-19
11 19.24 Erik J. Bekkers (Info) Stanford University Biology 2015-10-19
12 19.24 C. A. Figueroa (Info) Stanford University Biology 2015-10-19
13 19.24 Joy P. Ku (Info) Stanford University Biology 2015-10-19
14 19.24 Brooke N. Steele (Info) Stanford University Biology 2015-10-19
15 19.24 Christopher P. Cheng (Info) Stanford University Biology 2015-10-19
16 20.9 Jonathan W. Song (Info) Ohio State University, Columbus Microtechnology, angiogenesis, tumor microenvironment, mechanobiology, bioengineering 2016-01-27
17 518.57 Jessica L. Klaers (Info) University of Wisconsin, Madison Medical Biophysics, Biomedical Engineering 2016-03-01
18 518.57 Eric M. Bultman (Info) University of Wisconsin, Madison Biomedical Engineering, Radiology 2016-03-01
19 518.57 Catherine J. Moran (Info) University of Wisconsin, Madison Biomedical Engineering, Medical Biophysics 2016-03-01
20 518.57 Ethan Brodsky (Info) University of Wisconsin, Madison Electronics and Electrical Engineering, Radiology 2016-03-01


Distribution of individual connectivity.
Another way to look at the BME 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 54 connections. Thanks to Adam Snyder for suggesting this analysis!

Edge vs node distribution

4428-
3542-
2657-
1771-
886-

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