Node connection strength in PsychTree.
Each node in PsychTree 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

18-
14-
11-
7-
4-

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



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

Rank Mean dist Name Institution Area Date
1 7.22 Robert C. Honey (Info) Cardiff University 2010-07-28
2 7.69 M. Jackson Marr (Info) Georgia Institute of Technology Behavior Analysis 2010-06-08
3 8.05 Saul Sternberg (Info) University of Pennsylvania Mathematical psychology 2005-03-31
4 8.55 Cletus J. Burke (Info) California State University mathematical psychology 2009-08-18
5 8.61 Evan L. MacLean (Info) Duke University comparative psychology, biological anthropology and anatomy 2007-04-26
6 8.8 E. Lowell Kelly (Info) University of Michigan, Ann Arbor Social Psychology 2009-09-19
7 10.77 Brent W. Roberts (Info) University of Illinois, Urbana-Champaign personality 2008-09-30
8 13.06 Yuka Koremura (Info) University of North Texas antecedent control of behavior, generalization, behavioral cusps, fluency-based teaching, treatment of autism, teaching of academic behavior, animal training, rule-governed behavior, contingency-shaped behavior 2015-11-13
9 13.35 Richard Russell (Info) Harvard University Face perception 2006-10-23
10 16.32 John Dewey (Info) University of Chicago philosophy, psychology 2005-01-16
11 18.85 Tibor P. A. Palfai (Info) Boston University Clinical Psychology 2016-06-02
12 19.2 G Alan Marlatt (Info) University of Washington, Seattle Clinical Psychology, Mental Health 2016-05-19
13 21.19 Arthur W. Blume (Info) University of Washington, Seattle Clinical Psychology, Public Health 2016-05-20
14 21.19 Elizabeth H. Hawkins (Info) University of Washington, Seattle Clinical Psychology, Ethnic and Racial Studies 2016-05-20
15 21.19 Joseph B. McGlinchey (Info) University of Washington, Seattle Clinical Psychology, Educational Psychology Education, Mass Communications 2016-05-20
16 21.19 Katie Witkiewitz (Info) University of New Mexico Clinical Psychology 2016-05-20
17 21.19 Sandra M. Radin (Info) University of Washington, Seattle Clinical Psychology, Social Psychology, Developmental Psychology, Public Health, Ethnic and Racial Studies 2016-05-20
18 21.19 Neharika Chawla (Info) University of Washington, Seattle General Psychology, Public Health 2016-05-20
19 21.49 Mary E. Larimer (Info) University of Washington, Seattle Addiction 2015-09-19
20 32.52 Inna Z. Khazan (Info) Clark University Clinical Psychology 2016-05-19


Distribution of individual connectivity.
Another way to look at the PsychTree 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 65 connections. Thanks to Adam Snyder for suggesting this analysis!

Edge vs node distribution

4369-
3495-
2621-
1748-
874-

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