  A team of association football players may be envisioned as a directed
network with player nodes and weighted pass edges. Such a simplistic
representation of an otherwise complex structure yields several benefits, but
also permits the application of well-established network analysis approaches,
to gain insights into the match flow. The authors of this work propose the
application of these, including centrality measures, community detection
methods, and the analysis of induced subgraphs, to analyze the potential
effects certain match events have on the team. In addition to reporting on
their findings, they emphasize their work's contribution of over 9000 novel
football network representations to the Network Analysis community.
