baseball — Baseball steroid use (2008)

Description

Networks of steroid use among Major League Baseball players, compiled by V. Krebs from the Mitchell Report (2007), the independent investigation into the use of steroids and other illegal performance-enhancing substances in Major League Baseball. There are two undirected networks:

user-provider: a bipartite network of 72 players and the 12 providers (individuals, clinics and pharmacies) that the report identified as their suppliers of steroids and other illegal performance-enhancing substances. An edge connects a player to each of his providers.
player-player: the one-mode projection of the bipartite network onto the players, in which two players are connected if they share at least one provider. The edge weight is the number of shared providers. Each player also has a self-loop whose weight is his number of providers.

The networks have the following properties:

(Node) name: the name of the player or provider.
(Node) is_provider (only in user-provider): whether the node is a provider (otherwise a player).
(Edge) weight (only in player-player): as described above.

Tags

Social Offline Weighted Projection

Added

2020-08-11

Citation

V. Krebs, "The Spread of Steroids in Baseball." orgnet.com

Upstream URL OK

https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/baseball-steroid-use
http://orgnet.com/steroids.html

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
player-player	72	1,089	30.25	18.59	44.00	2.56	0.99	1.00	2	0.62	Undirected	Unipartite	name		2 KiB	5 KiB	4 KiB	4 KiB
user-provider	84	84	2.00	4.78	1.73	6.60	-0.45	0.00	4	0.56	Undirected	Bipartite	name		2 KiB	3 KiB	3 KiB	3 KiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.