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tennis_atp — ATP men's singles tennis matches (1968-2018)

Description

Networks of the men's singles tennis matches of the Association of Tennis Professionals (ATP), built by U. Michieli from the match records compiled by J. Sackmann (https://github.com/JeffSackmann/tennis_atp). Nodes are players.

  • wins: matches of the main ATP tour from 1968 to the end of August 2017. A directed edge $i\to j$ goes from a losing player $i$ to a winning player $j$, with weight equal to the number of times $j$ won against $i$ (the weights add up to 151,734 matches).
  • points: the same matches and players as wins, with ATP ranking points as weights. A directed edge is present in both directions between any two players that met, and, according to the source documentation, the weights are "the respective ATP points awarded" to the two players (the loser of a match also receives points); the weight of $i\to j$ is thus presumably the total of points earned by $j$ in their matches against $i$.
  • extended: an undirected and unweighted network, where an edge connects two players who played at least one match against each other between 1968 and the end of March 2018, including also the Davis Cup, and the Challenger and Futures tournaments from 1991 onwards (which are not included in the other two networks).

An undirected and unweighted version of wins (where an edge connects two players who met) is also distributed upstream; it is not included here, as it is equivalent to wins with the edge directions and weights ignored.

The networks have the following properties:

  • name: the player's name, as "Surname I." (wins, points) or "Firstname Surname" (extended).
  • weight: the number of wins (wins) or the ATP points (points).
Tags
Social Offline Sports Weighted Metadata
Citation
Upstream URL OK
https://drive.google.com/drive/folders/1mCxZfkkpIC9o-nxZ1yW3GBBdvBOPW6mQ
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
wins 4,245 101,436 23.90 88.42 161.40 20.08 0.05 0.41 8 1.00 Directed Unipartite name weight 142 KiB 373 KiB 368 KiB 314 KiB
points 4,245 170,168 40.09 139.02 161.40 19.62 -0.00 0.35 8 1.00 Directed Unipartite name weight 284 KiB 675 KiB 682 KiB 575 KiB
extended 22,405 499,057 44.55 88.40 269.68 22.59 0.27 0.19 9 1.00 Undirected Unipartite name 828 KiB 1.7 MiB 1.7 MiB 1.7 MiB