Node connection strength in Pediatric Surgery Tree.
Each node in Pediatric Surgery 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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Mean distance



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

Rank Mean dist Name Institution Area Date
1 32.13 Robert E. Gross (Info) Harvard University 2015-02-10
2 38.04 Ronald B. Hirschl (Info) University of Michigan - CS Mott Children's Hospital 2015-02-10
3 40.37 Arnold G. Coran (Info) University of Michigan - CS Mott Children's Hospital 2015-02-10
4 40.99 Peter Mattei (Info) Children’s Hospital of Philadelphia / University of Pennsylvania 2015-02-10
5 43.82 Aviva L. Katz (Info) Children's Hospital of Pittsburgh Biomedical Ethics 2015-02-10
6 43.82 Philip L. Glick (Info) State University of New York, Buffalo CDH, lung development, financial literacy, leadership, shared governance 2015-02-10


Distribution of individual connectivity.
Another way to look at the Pediatric Surgery 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 71 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+
Number of connections
 Node count