**Chess**

# Chess

## About this network

These are results of chess games. Each node is a chess player, and a directed edge represents a game, with the white player having an outgoing edge and the black player having an ingoing edge. The weight of the edge represents the outcome (+1 white won, 0 draw, -1 black won). The dataset is anonymous: the identity of the players is unknown, and timestamps are approximate. Timestamps are given to a one month precision, and may have been shifted towards the future by an unknown amount.

## Network info

Code | CH |

Category | ⬤ Interaction |

Data source | https://www.kaggle.com/c/chess/data |

Vertex type | Player |

Edge type | Game |

Format | Directed |

Edge weights | Multiple signed |

Metadata | Zero weight Timestamps |

Size | 7,301 vertices (players) |

Volume | 65,053 edges (games) |

Unique volume | 34,564 edges (games) |

Average degree (overall) | 17.820 edges / vertex |

Fill | 0.00074105 edges / vertex^{2} |

Maximum degree | 280 edges |

Reciprocity | 7.13% |

Size of LCC | 7,115 vertices |

Size of LSCC | 4,738 vertices |

Wedge count | 2,588,788 |

Claw count | 16,498,559 |

Triangle count | 108,595 |

Square count | 324,301 |

4-tour count | 6,216,178 |

Power law exponent (estimated) with d_{min} | 3.0710 (d_{min} = 24) |

Gini coefficient | 59.1% |

Relative edge distribution entropy | 92.9% |

Assortativity | 0.30620 |

Clustering coefficient | 12.6% |

Diameter | 13 edges |

90-percentile effective diameter | 4.83 edges |

Mean shortest path length | 3.95 edges |

Spectral norm | 18.856 |

Algebraic connectivity | 0.085875 |

Preferential attachment exponent | 0.93294 (ε = 4.5358) |

## Downloads

TSV file: | chess.tar.bz2 (266.72 KiB) |