Table 1.
Analyzed games and outcomes.
Figure 1.
Weighted graph of ball transitions across all teams and all games.
Edge width is proportional to probability of transition between nodes. Red edges represent transition probabilities summing to the 60th percentile.
Figure 2.
Mean flow centrality by position (+/− S.D.).
Dark bars represent flow centrality calculated across all player possessions in a sequence, and light bars represent flow centrality calculated across the last 3 player possessions in successful sequences.
Figure 3.
Weighted graphs of ball transitions across two games for the (a) Bulls, (b) Cavaliers, (c) Celtics and (d) Lakers.
Red edges represent transition probabilities summing to the 60th percentile. Player nodes are sorted by decreasing degree clockwise from the left.
Figure 4.
Clustering coefficients for the graphs of each team for cumulative transition probabilities between 30% and 70% of all ball movements.
Networks are ordered according to the average clustering coefficient across all cutoffs.
Table 2.
Degree centrality, team entropy, and uphill/downhill flux measured across two games for the 16 teams in the 2010 playoffs.
Figure 5.
Weighted graphs of ball transitions with nodes sorted from lowest to highest scoring success illustrate uphill-downhill flux.
Data collected across two games for the (a) Mavericks (highest uphill/downhill), (b) Thunder (lowest uphill/downhill), and (c) Lakers.
Table 3.
Path length and flow rate measured across two games for the 16 teams in the 2010 playoffs.
Table 4.
Ratio of player flow centrality for successful versus unsuccessful plays.