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Node connection strength in Epi Tree.
Each node in Epi 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 Epi Tree nodes with shortest mean distance.

Rank Mean dist Name Institution Area Date
1 233.8 Gary K. Wilde (Info) Medical University of South Carolina - College of Health Professions Epidemiology, Health Care Management 2016-03-01
2 233.8 LeeAnne Berlinsky (Info) Medical University of South Carolina - College of Health Professions Health Care Management, Oncology 2016-03-01
3 233.8 Joseph J. Sistino (Info) Medical University of South Carolina - College of Health Professions Surgery, Mental Health 2016-03-01
4 233.8 Kinneil Coltman (Info) Medical University of South Carolina - College of Health Professions Health Care Management, Organizational 2016-03-01
5 233.8 Catrin Jones-Nazar (Info) Medical University of South Carolina - College of Health Professions Health Care Management, Epidemiology 2016-03-01
6 233.8 Donna M. Neeves (Info) Medical University of South Carolina - College of Health Professions Health Care Management 2016-03-01
7 233.8 Penney A. Burlingame (Info) Medical University of South Carolina - College of Health Professions Health Care Management, General, Nursing 2016-03-01
8 233.8 Stuart H. Fine (Info) Medical University of South Carolina - College of Health Professions Health Care Management 2016-03-01
9 233.8 Nicole M. Marlow (Info) Medical University of South Carolina - College of Health Professions General, General Economics, Epidemiology 2016-03-01
10 233.8 Kathleen B. Cartmell (Info) Medical University of South Carolina - College of Health Professions Oncology, Health Care Management 2016-03-01
11 233.8 Anthony C. Stanowski (Info) Medical University of South Carolina - College of Health Professions Health Care Management, Marketing Business Administration 2016-03-01
12 233.8 Benjamin R. Moore (Info) Medical University of South Carolina - College of Health Professions Health Care Management, Psychometrics Psychology, Black Studies 2016-03-01
13 233.8 Courtney J. Schoessow (Info) Medical University of South Carolina - College of Health Professions Health Care Management, Public Health, General 2016-03-01
14 233.8 Rebecca F. McIntyre (Info) Medical University of South Carolina - College of Health Professions Public Health, Health Care Management, Women's Studies 2016-03-01
15 233.8 Anthony G. Shackelford (Info) Medical University of South Carolina - College of Health Professions Health Care Management, Public Health 2016-03-01
16 233.8 Maria N. Medina-Saunders (Info) Medical University of South Carolina - College of Health Professions Health Care Management 2016-03-01
17 233.8 Sabrina L. Smith (Info) Medical University of South Carolina - College of Health Professions Health Care Management 2016-03-01
18 233.8 Lucy T. Ibemere (Info) Medical University of South Carolina - College of Health Professions Public Health 2016-03-01
19 233.8 Merritt M. Brockman (Info) Medical University of South Carolina - College of Health Professions Health Care Management 2016-03-01
20 233.8 Tejas R. Gandhi (Info) Medical University of South Carolina - College of Health Professions Health Care Management 2016-03-01


Distribution of individual connectivity.
Another way to look at the Epi 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 56 connections. Thanks to Adam Snyder for suggesting this analysis!

Edge vs node distribution
5585-
4468-
3351-
2234-
1117-
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16+
Number of connections
 Node count