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dynamic aspects are encoded into temporal graphs.
This research opens novel opportunities for inves-
tigation related to the use of several image process-
ing algorithms to highlight important patterns in tem-
poral graphs. We plan to follow this research venue
in our future work. We also plan to incorporate ma-
trix reordering methods (Behrisch et al., 2016) aim-
ing to improve the identification of changing patterns
in graph visual rhythm representations. Another is-
sue refers to the implementation of suitable visualiza-
tion approaches to handle players’ substitutions in a
match.
ACKNOWLEDGEMENTS
The authors would like to thank CAPES, CNPq (grant
#306580/2012-8), FAPESP (grants #2013/50169-1
and #2013/50155-0 ) for the financial support. Au-
thors are also grateful for the support of PUC-
Campinas.
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