Node connection strength in Literature Tree.
Each node in Literature 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

603-
482-
362-
241-
121-

10 11 12 13 14 15 16 17+
Mean distance
 Number of nodes 



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

Rank Mean dist Name Institution Area Date
1 9.79 Jenifer E. Fennell (Info) University of Minnesota, Twin Cities 2015-11-30
2 9.79 Elizabeth M. Kalbfleisch (Info) University of Minnesota, Twin Cities 2015-11-30
3 17.78 Julie E. Byrne (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
4 17.78 Andrew S. Jacobs (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
5 17.78 Caroline T. Schroeder (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
6 17.78 Michael R. Rackett (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
7 17.78 Christine C. Shepardson (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
8 17.78 Catherine M. Chin (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
9 17.78 Garry J. Crites (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
10 17.78 Jeremy M. Schott (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
11 17.78 Kristi Upson-Saia (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
12 17.78 Susanna L. Drake (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
13 17.78 Ariel B. Laughton (Info) Duke University Granular Materials, Nonlinear Dynamics 2015-10-24
14 22.77 Florian N. Becker (Info) Princeton University 2015-11-21
15 278.61 William Haver (Info) State University of New York at Binghamton Comparative Literature, Philosophy 2016-02-19
16 588.77 Ann M. Mackin (Info) Pepperdine University Entrepreneurship Business Administration, Women's Studies 2016-03-02
17 695.82 Johanna J. Chen (Info) University of California, Los Angeles Music 2016-03-02
18 695.82 Mary L. Keays (Info) University of California, Los Angeles Music, Women's Studies 2016-03-02
19 695.82 David F. Beaudry (Info) University of California, Los Angeles Music 2016-03-02
20 695.82 Rebecca H. Tomlinson-Brown (Info) University of California, Los Angeles Music 2016-03-02


Distribution of individual connectivity.
Another way to look at the Literature 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 192 connections. Thanks to Adam Snyder for suggesting this analysis!

Edge vs node distribution

22829-
18263-
13697-
9132-
4566-

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