Node connection strength in GeograTree.
Each node in GeograTree 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

0-
0-
0-
0-
0-

Mean distance



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

Rank Mean dist Name Institution Area Date
1 19.8 Youqin Huang (Info) University of California, Los Angeles 2015-09-25
2 19.8 Anita I. Drever (Info) University of California, Los Angeles 2015-09-25
3 19.8 Sarah A. Blue (Info) University of California, Los Angeles 2015-09-25
4 19.8 Wenfei Wang (Info) University of California, Los Angeles 2015-09-25
5 19.8 Valerie Ledwith (Info) University of California, Los Angeles 2015-09-25
6 19.8 Alejandro Rodriguez (Info) University of California, Los Angeles 2015-09-25
7 19.8 Natasha M. Rivers (Info) University of California, Los Angeles 2015-09-25


Distribution of individual connectivity.
Another way to look at the GeograTree 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 49 connections. Thanks to Adam Snyder for suggesting this analysis!

Edge vs node distribution

3165-
2532-
1899-
1266-
633-

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