ncaa_basketball_2017 — NCAA men's basketball tournament teams (2016-2017)

Description

Directed network of the games played among the teams of the 2017 NCAA Division I men's basketball tournament ("March Madness") during the 2016-2017 regular season and conference tournaments, compiled by B. Keegan. The season schedules and results of the 60 teams that entered the main tournament draw directly (the 8 teams of the "First Four" play-in games are not included) were crawled from sports-reference.com on 15 March 2017, and cover the games from 11 November 2016 to 12 March 2017.

A node is a team, and a directed edge from team A to team B is a game won by A over B. Each game between two of the teams is a separate edge, and is taken from the results of either team. The crawler omitted the last game in the schedule of each team, so games that were the last ones played by both teams (such as some conference tournament finals) are missing.

The network published upstream (tournament_schedule.gexf) instead joins the games of each pair of teams in a single edge, weighted by the cumulative point differential, but is built with a comparison of the scores as text, which misclassifies games where one team scored 100 points or more, and does not match the alternative names of four teams (e.g. "UNC" and "North Carolina"); the network here is built from the game results crawled upstream (results.csv).

The network has the following properties:

Nodes: name, the team name.
Edges: date, the date of the game (YYYY-MM-DD); winner_points and loser_points, the points scored by the winning and losing team.

Tags

Social Sports Multigraph Timestamps

Citation

B. Keegan, "NCAA-MBB-2017: Quick-and-dirty network analysis of the 2017 NCAA Men's Basketball tournament." https://github.com/brianckeegan/NCAA-MBB-2017 (2017) github.com

Upstream URL OK

https://github.com/brianckeegan/NCAA-MBB-2017

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
ncaa_basketball_2017	60	260	4.33	5.52	7.50	5.58	0.34	0.47	5	0.93	Directed	Unipartite	name	date winner_points loser_points	2 KiB	3 KiB	3 KiB	3 KiB