logo Netzschleuder network catalogue, repository, and centrifuge

nfl_2009 — NFL games (2009)

Description

The games played among the 32 teams of the American National Football League (NFL) in the 2009 season, including regular season and post-season games. The data were derived by C. Aicher, A. Z. Jacobs and A. Clauset from data licensed from STATS LLC, and used as an example of a weighted network with latent block structure.

Each game is a directed edge between the two teams that played it, so that pairs of teams that played several times are connected by multiple edges. The edge direction follows the order of the two teams in the source data, which is not documented, and is neither home team first nor winner first (it should be treated as arbitrary).

The network has the following properties:

  • Nodes: name, the team abbreviation; conference, the conference of the team (1: NFC, 2: AFC); division, the division of the team (1: NFC North, 2: NFC East, 3: NFC South, 4: NFC West, 5: AFC North, 6: AFC East, 7: AFC South, 8: AFC West).
  • Edges: source_score and target_score, the points scored in the game by the source and target teams, respectively. Points scored during overtime are not included.
Tags
Social Sports Weighted Multigraph Metadata
Citation
  • C. Aicher, A. Z. Jacobs, A. Clauset, "Learning latent block structure in weighted networks." Journal of Complex Networks 3(2), 221-248 (2015) 10.1093/comnet/cnu026 Sci-Hub
Upstream URL OK
https://aaronclauset.github.io/datacode.htm
Upstream license
Non-commercial use only (derived from data licensed from STATS LLC; see the README file in the archive), https://aaronclauset.github.io/wsbm/NFL2009_network.zip
Networks
Tip: hover over a column header 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
nfl_2009 32 266 8.31 0.89 12.27 2.02 -0.05 0.61 2 1.00 Directed Unipartite name conference division source_score target_score 2 KiB 3 KiB 2 KiB 2 KiB