# Netzschleuder network catalogue, repository and centrifuge

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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["physician_trust"]


# physician_trust — Physician trust network (1966)

Description

A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.1

1. Description obtained from the ICON project.

Tags
Social Offline Unweighted
Citation
Upstream URL OK
http://konect.cc/networks/moreno_innovation
Networks
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
physician_trust 241 1,098 4.56 4.88 8.88 3.58 -0.01 0.27 5 0.49 Directed Unipartite 6 KiB 10 KiB 10 KiB 7 KiB
Ridiculograms