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Found 5 papers, 2 papers with code
Understanding team collapse via probabilistic graphical models
In this work, we develop a graphical model to capture team dynamics.
hood2vec: Identifying Similar Urban Areas Using Mobility Networks
Hence, in this paper, we introduce an approach, namely hood2vec, to identify the similarity between urban areas through learning a node embedding of the mobility network captured through Foursquare check-ins.
next-gen-scraPy: Extracting NFL Tracking Data from Images to Evaluate Quarterbacks and Pass Defenses
We introduce a Naive Bayes approach for estimating the 2-D completion percentage surfaces of individual teams and quarterbacks, and we provide a one-number summary, completion percentage above expectation (CPAE), for evaluating quarterbacks and team defenses.
Applications
tHoops: A Multi-Aspect Analytical Framework Spatio-Temporal Basketball Data
For example, shot charts, that is, maps capturing locations of (made or missed) shots, and spatio-temporal trajectories for all the players on the court can capture information about the offensive and defensive tendencies and schemes of a team.
Gaming the Game: Honeypot Venues Against Cheaters in Location-based Social Networks
LBSNs offer a number of conveniences to its participants, such as - but not limited to - a list of places in the vicinity of a user, recommendations for an area never explored before provided by other peers, tracking of friends, monetary rewards in the form of special deals from the venues visited as well as a cheap way of advertisement for the latter.
Social and Information Networks Cryptography and Security
