[This post was written in collaboration with Christian Bauckhage and Rafet Sifa.] Clustering is imminently useful for finding patterns in gameplay data. In this second post in the clustering series, we briefly outline several classes of algorithms and discuss the types of contexts they are useful in. Cluster algorithms can be categorized based on how the…
In this – somewhat wordy – post, we introduce the foundations of cluster analysis, and discuss its application in finding patterns in the behaviors of players, and developing profiles of how people play your game. Recent years have seen a deluge of behavioral data from players hitting the game industry. The reasons for the data…
One of the most important challenges in game analytics is to take the power of quantitative analysis and place it into the hands of everyone, not just trained analysts. In this post we describe the process of developing a method for generating behavioral profiles of player, and visualize how they over time migrate between these…
When scientists want to understand the specifics of genetics, they usually avoid studying humans, as it takes 30 years to reach a new generation. Instead they focus on fruit flies, which are born, mature and die on the same day. This allows for studying the causes and effects of changes occurring from one generation to…
From the GA blog, a new post on player progression analysis in Tomb Raider: Play style and progression are two important keywords in game analytics, as all methods for optimizing design and monetizations strategies revolve around them. When building games, we design with a specific operational space for the players in mind, so finding out how…
Sometimes as a game analyst, you get to run analyses that do not have an immediately useful application, but which are just fun (yes, data analysis can be fun). Such exercises sometimes begin when people get together socially after a long day and start speculating. This was also the case when one day, a bit…
