Pediatric Surgery Tree - Node statistics

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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1199-

899-

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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

Edge vs node distribution
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1199-
899-
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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