Node connection strength in DevTree.
Each node in DevTree 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

2-
2-
1-
1-
0-

6 7 8 9 10 11 12 13 14 15 16 17+
Mean distance
 Number of nodes 



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

Rank Mean dist Name Institution Area Date
1 6.15 Clifford J. Tabin (Info) Harvard Medical School genetics, morphogenesis, limb, evolution 2009-11-01
2 8.37 Edmund Beecher Wilson (Info) Columbia University Chromosomes, cell biology 2007-08-30
3 9.08 William Keith Brooks (Info) Johns Hopkins University morphologist, zoologist, embryology 2007-04-10
4 9.16 Frank Rattray Lillie (Info) University of Chicago embryology, cell biology 2007-08-30
5 10.08 Frank Ruddle (Info) Yale University human genetics 2008-10-19
6 11.24 Max Hartmann (Info) Max Planck Institut für Biologie biology 2007-04-03
7 17.7 Conrad Hal Waddington (Info) University of Edinburgh Developmental Biology, Epigenetics 2007-04-04


Distribution of individual connectivity.
Another way to look at the DevTree 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

547-
438-
328-
219-
109-

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