Figure 6
From: Defining a historic football team: Using Network Science to analyze Guardiola’s F.C. Barcelona
Network parameters depend on scoring/receiving a goal. (A) clustering coefficient C, (B) average shortest-path d, (C) largest eigenvalue λ1 of the connectivity matrix, (D) algebraic connectivity \({\tilde{\lambda }}_{2}\), (E) centrality dispersion ECdisp and (f) highest eigenvector centrality ECmax. Parameters are obtained for all teams and are shown in a two-dimensional plot, where the horizontal axis corresponds to the value of a metric when the team receives a goal and the vertical axis is the same metric obtained when the team scores a goal. Solid lines correspond to the function y = x, helping to identify wether a given parameter increases or decreases when a goal is scored/received. Each point represents the average along the whole season.
